Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Chapter I Introduction High school students are at an exciting time in their lives. They have reached an avenue where they will make some of the largest intellectual, behavioral, and physical changes. Students will often lean on their peers, often in a team mentality, for support during these uncomfortable transitions. Research has shown that harnessing a Team Based or Cooperative Learning mentality will improve student output (Kortering, Debettencourt, & Braziel, 2005). Taking that information a step further; this thesis will attempt to answer to what degree will a Team Based Mathematical program produce an improved quality education in the areas of student mathematical communication, concept retention, improvement of test scores, and overall enjoyment. Currently in most schools mathematics is seen as a mundane, boring, and individual oriented subject. Some students seem to spend their days in most mathematics class asking themselves two main questions: 1) when does this class end? And 2) when will I ever use this? To make matters worse, students fall into the systematic process of learning a formula, process, or concept; utilize it for a small amount of time; complete some sort of formal assessment; only to forget the pervious material when a new unit is begun. It is time that students have an avenue that increases their enjoyment in the class and their application of the material. The Team Based Learning program will be a means for students to collaborate with their peers in a positive and productive manner. During this process students will communicate using math vernacular comfortably and confidently. These benefits will require some work on the educator’s part, but will not force the educator to revolution their teaching style. Ultimately, this study aims to help Naughton 1 produce a curriculum that will integrate the strengths of Team Based Learning, combining it with the strengths of the instructor, and to form a hybrid strategy that works for all parties involved. The Purpose of the Study The purpose of this action research project will to create and implement a program using Team Based Learning in a Mathematics classroom. The following research questions will be addressed: I. To what degree will Team Based Mathematics improve student’s ability in mathematical communication? In the researcher’s experience, vocabulary is one of the best indicators of both intelligence and concept mastery. Currently students are having difficulty understanding a question, and therefore will have an exponentially more difficult time solving a problem. It is important to push current high school students beyond the basic math vocabulary of add, minus, multiply, divide. A deeper mathematical vocabulary is vital for a high school student’s development and confidence in the subject matter. II. To what degree will Team Based Mathematics improve a student’s ability to retain previously covered material? The Team Based Mathematics Learning model makes learning an experience, and as an experience, it will help those students retain information. Mathematics is a science where each step builds upon the previous, and if the prior skills have been diminished in any way, it puts a student’s ability to master the new material at a serious disadvantage. It is unacceptable for a student to simply memorize, regurgitate, and forget. III. To what degree will Team Based mathematics improve a student’s test score in during individual formal assessment? Naughton 2 The current education system is showing that frequent and standard testing of all students is the most efficient way to map a student’s development. The aim of this Action Research Project is not to debate, confirm, or debunk the validity of that statement. It is however, the goal of this project to see how the effects of Team Based Mathematics translate quantitatively to individual and collective assessment. In this manner, a successful program that can improve a student’s standardized test score will prove to be invaluable. IV. To what degree will Team Based Mathematics improve a students overall enjoyment in a mathematics class? Team Based Learning is a process that students have undeniably asked for more of in their current education. As educators, it is important to incorporate the students’ need for the social as well as the academic. If students favor a particular type of activity, they often work harder at it, and will look forward to doing it again the future. Program Overview The Team Based Mathematics Program will be conducted in two distinct groups of high school students. One group will be the Experimental Group, and will be experiencing the Team Based Learning program. The other group will be the Control Group, and they will receive a more traditional educational program. These two groups however will be in the same subject, Algebra 1-2, and will not be classes who are considered Advanced Placement/ Honors. Both groups will be receiving the same preassessments, assignments, formal assessments, and surveys. The same educator using the same type of delivery system will teach both groups. This will help produce two sets of data which will be used to deduce the degree to which Team Based Mathematics answers the research questions stated above, and minimize any potential biases. Naughton 3 This program will be conducted using a series of important steps. These steps are carefully placed in order to promote team chemistry, concept retention, and overall effectiveness. Team Building and Team Chemistry Development - Its focus will be creating an atmosphere suitable for Team Based Learning to take place. This step will consist of a series of increasingly difficult and intrusive team building activities requiring more and more student involvement and interaction. Team Alignment - Students will be required to fill out a variety of pretests including mathematical preassessments, personality tests, and learning styles tests. Students will be placed into balanced groups based upon those results. After those initial steps have been completed it is time to start teaching the material Concept Delivery - An educator will deliver the material to a student in a manner as they see fit. This is where the bulk of the new information will be given to the students. Team Reliance / Peer to Peer Interaction - The team will then check to make sure each student in the team understands the new material, and makes sure the each student’s notes are complete and accurate. The group will then begin to collectively complete a group assignment. Individual Practice / Independent Practice – After showing a solid basis at a group level, students will then have individual assignments to solidify their individual skill level in the new covered material. Individual Assessment - At the conclusion of each unit, the students will engage a phase where each student will be assessed individually. There will be no group work in this assessment in order to see if the student has comprehended the material, and not simply rely on their group. Group Assessment - In this phase, student will be assessed collectively using a different assessment types that go beyond the obvious, create creative mathematical paths, and arrived at a possible solution. This could include real life examples of the concept, or portfolio activities. Survey - Students will take surveys to evaluate the effectiveness of the method and their enjoyment of the process. Naughton 4 After all the steps have been completed, the quantitative and qualitative information will be analyzed in Chapter Four. The results and conclusions will be available in Chapter Five. Vocabulary Frequently used terms in this study are: Team Based Learning – a strategy in which students work together over a six to eight weeks in order to help improve the skill level of all students involved. Cooperative Learning – a strategy in which students work together to complete a single task, and then the group will be disbanded Team Building Activity or Team Builder – an activity whose goal is to enhance a students trust in each other and improve cooperation among students Individual Assessment – a formal assessment whose goal is to test the retention, and application of a concept. It is to completed by a student without the help of their peers. Free Loader – an individual in a group setting who do a minimal amount of the work, while others (Workhorse) do the majority of the work. The satisfaction and rewards of shared goal is spread evenly to both the Free Loaders and Workhorses. Workhorse – an individual in a group setting who does the majority of the work, while others (Free Loaders) do a small amount of work. The satisfaction and rewards of shared goal is spread evenly to both the Free Loaders and Workhorses. This program is aimed at addressing the issues some of the issues identified with mathematics classes. With the current economic strain, it is extremely beneficial to incorporate strategies that have a track record of success, and will not break the bank. With a successful Team Based Mathematics Program, educators will have a new avenue to create a more effective classroom. While standing on the shoulders of the predicators of Team Based learning, this Team Based Mathematics Program will incorporate all the previous successes, suggestions, as well as interjecting some new characteristics. Naughton 5 Chapter II Mathematics: A Need for Reform It is math education in the United States, which has received blow after blow from recently released studies on top of the continuing ferment about a host of issues -- too much or too little arithmetic, calculators or no calculators, problem solving versus calculation, and the perennial problem of unqualified math teachers. One's eyes get bleary watching the game. (Lewis, 2005, p. 420) Mathematics at the high school level has been the same from quite some time. The application and use of the Pythagorean Theorem, or Slope Intercept form has remained the same. However, the children that receive that instruction as changed substantially through the ages. (Knowles, 1999, p. 24) Teachers are not focusing on a diversified learner, and the strategies used educate the generations before are also becoming antiques. Not to say that all the strategies of the current math educator are archaic, but educators must then ask themselves, “Is this strategy really effective, or something that is just ‘norm’?” (Marshall 356) To remain competitive in a many different fields, mathematics scores need to climb. The most recent TIMSS study conducted in 2007 shows that the United States is making a small improvements, however we are still well behind where we need to be. In the past two years, the United States has risen six points on average. However, the United States is behind China by over 100 points in some areas. If the United States is to remain competitive in many different fields of involving science, mathematics, and other academic trades; it cannot be trailing the leader by 100 points, and only increasing by six points. In another study by the National Academy of Sciences, the US finished 24th out of 29 leading industrialized countries on the 2003 Programme for International Naughton 6 Assessment study, which tested 15-year-olds' math abilities. The study then released this quote, “The answer to the question posed above is as troubling as our kids' inability to solve it--even accounting for population size, the US trails emerging global forces China and India in technology and engineering. IT and engineering skills so dependent on math and science skills, our future as the last remaining superpower is in question. (Kuttan & Peters, 2006) These studies and others show us that the numbers of our current system don’t add up, and that there needs to be a change in the delivery of the math education. A ten year longitudinal study done in Denver, Colorado showed that the least favorite subject of 6th and 8th grades was math, and math meagerly improved to 2nd least favorite in the 10th and 12th grades."(Helwig, 2004) For years the train of thought was that students feared math because they were just simply bad at it. However, a growing body of research shows a much more complicated relationship between math ability and anxiety. It is true that people who fear math have a tendency to avoid mathrelated classes, which will then decreases their math skill even further. (Ruffins, 2007) If students fear math, then they will be less likely to engage in careers involving mathematics. On February 26th 2005 Bill Gates gave a speech to the National Education Summit on High Schools summarizing the state of education “When I compare our high schools to what I see when I'm traveling abroad, I am terrified for our workforce of tomorrow. In math and science, our fourth graders are among the top students in the world. By eighth grade they are in the middle of the pack. By twelfth grade, US students are scoring near the bottom of all industrialized nations.” (Higgins, 2009) There is indeed a need to reform how teachers teach Mathematics. Naughton 7 Often times the very basis of mathematics vocabulary can set a student back. At an early age students understand the concepts of add, subtract, multiply and divide. However, when they get to high school it is no longer that simple. Terms like "divisors," "integers," "quotients," "multipliers," "differences," "products," "multiplicands," "inequalities," and "sum," to name a few. (Cornell, 1999) Those same words are used in textbooks, and in lectures in great numbers. A student who cannot always distinguish between denominator and numerator cannot always grasp the concept of equivalent fractions. An inferior grasp on math vocabulary can also lead students to have more problems throughout their mathematical carriers. (Hale, 2007) If students can communicate to each other correctly and confidently in mathematic, their success grows exponentially. (Lee & Herner-Patnode, 2007) There needs to be an avenue were students can converse with their peers using this mathematics vocabulary daily. If not, students won’t have a chance to get a question correct because they don’t understand the information of the question or what it is asking. Tradition lecture based classrooms are no longer the best way to get the information from the educator to the student. For most students, mathematics is an endless sequence of memorizing and forgetting facts and procedures that make little sense to them. Numerous scientific studies have shown that the traditional methods of teaching mathematics are not only ineffective, but also seriously stunt the growth of students' mathematical reasoning and problem solving skills. Yet the traditional lecture based style continues which not only hurts the students, but also the nation. (Marshall, 2003, p. 193) Naughton 8 Students need the opportunity to combine their knowledge of mathematical concepts with their use of language and practical experience. When a student runs into a concept they have trouble with, they need to be guided to the correct resolution by someone whose knowledge they trust. (Hale, 2007) Traditional lecture based instruction does not allow the student to have the exchange. The information is on a one way train starting from the educator, and ending in the trash can when the bored student fails to understand what they are really trying to do mathematically. Education in the United States has received blow after blow from all sides. Calculators, or no calculators; too much or not enough arithmetic, right process versus the right answers; and the list of mathematics education issues goes on. (Lewis, 2005, p. 420) It Unlike in mathematics, a string of these negative terms will not multiply to make a positive term. (Marshall, 2006, p. 356) It’s time for change in math education. A Call for Cooperation By encouraging children and adolescents to learn and work together, cooperative learning attempts to create a shift from the paradigm of knowledge transfer from an active teacher to passive pupils, to one of social constructivism, where knowledge is actively created by students through social interaction on academic tasks (Mitchell, Rosemary, Bramwell, Solnosky, & Lilly 2004). To most secondary students, and to most adults, math is a subject that is usually seen as a boring, individualized, and complicated systematic process. Some students remember their math class using only time one used team or group work would be in a frantic last minute crunch before an exam. Math can be that way however one is missing out on the beauty of mathematics. Math problems are ideally intended for open discussion because they can frequently be solved by many different approaches Naughton 9 (Robertson, Davidson, & Dees 1999). Group oriented instruction can often not only help deepen an understanding of a concept, it can also develop a passion for the creativity that lies within mathematics. Learning in all areas and subjects tends to be a social experience. “Students learn by talking, listening, explaining, and thinking with others (Robertson, Davidson, and Dees 1999).” Of the countless modalities and different learning styles, there is only one that involves interpersonal reflection; learning is at its very basic core is cooperative and intrapersonal exchange (Stonewater, 2005). Math should no longer be a subject where students rely on passive or apathetic involvement, and students who do not buy into their education will not get the maximum benefit of it. Students working as a team will pull from their individual strengths to help enhance the potential of their teammates. The continued success of the group will then encourage the students to strive further then before (Slavin, Shlomo, & Sharan 1999). With a new found confidence of the group and the individual the learning process will perpetuate itself. Students will continue to use team-based work for the rest of their lives. One university used team-based academics for all of their freshman class, and were pleased to see the increase in the retention of their student population (Callback, Campbell, & Borland 2000). Team-Based work will also be the number one desired trait of the workforce for Fortune 500 companies of the 21st century (Demoulin 1999). The process will also help produce the key aspects of teamwork including, Problem Solving, Interpersonal Skills, Oral Communication, and Listening (Demoulin, 1999). Team Based Mathematics will not only make students better at mathematics in general; it will also help produce a better communicator, co-worker, leader, and problem solver. Naughton 10 Team Based Education; not simply Cooperative Learning Many see team based education and cooperative learning synonyms for the same strategy; and even used interchangeably in broad generalities. Educators often call a cooperative learning environment a “team” in order to promote a higher dedication to the work. In both systems, a group consists of peers ranging from three to five who gather to complete a task or a range of systematic tasks. There is a need for a basic level of trust and a positive group dynamic. If at anytime, there is a negative component, either emotional or personal, the entire body fails to work to its full potential. These two systems though seemly synonymous, yet each one has deeper complexity, and specific function. Cooperative learning is when a group of individuals work collaboratively for a specific short-term goal. The goal is often times very specific, and once the goal has been achieved the group disbands. This body is usually small and exists only for a finite period of time. The system is best suited for small projects. It requires limited buy-in from the participating students, and is less impacted by external forces. However students will often split up the workload to lessen the burden, and completing the task becomes the overall object not learning or mastery of the material. Cooperative learning could also produce a division of labor where students a small part of the group are doing all the work, and the other students who are just along for the free ride (Eastman, & Swift, 2002). Cooperative learning and short-term learning groups provide an environment for many of the objections produced by critics of Team Based Learning. Team Based Learning Naughton 11 Team Based Learning asks the students to push themselves beyond the temporal group work of Cooperative Learning. Team Based Learning is a group of students that work collectively over a long period of time to address a series of collective and individual goals. (Michaelsen, Knight, & Fink, 2002, p. 1-26) Students put more effort into building the fundamentals of the group-dynamic; however they also receive more out of the total process. Students in these cohorts are in place for a long period of time, which requires and creates a trust system as well as a support system for the group as a whole and the students individually. They have to overcome challenges, examinations, and assignments as a group. Regardless of the complexity or simplicity of their current goal, they must complete it, and complete it in such a manner that only improves trust and team chemistry. Initially students must participate in team builders; or activities whose purpose is to unify a group; at the beginning of the course to increase productivity of the group. As it is commonly stated in many walks of life, a team is only as strong as its weakest member, therefore the students must work diligently to make sure that each member is succeeding (Su, 2007). If a challenge or goal is not met, which is another opportunity for personal group for the students and the group; the group comes up with more conducive working practices for the next situation (Pretzer, Rogers, & Bush, 2007). The group also must create networks to work more efficiently outside of the traditional classroom, and must utilize other avenues of communication including, but not limited to, study sessions; group e-mails; phone; and internet chat like AIM, MSN, e-mail, Twitter. The group also has rotating responsibilities, split up the work evenly so that there can be no dominate leader nor a chronic freeloader (Williams, 1996). Team Based Learning will produce a more productive, and enjoyable experience. Naughton 12 Successes of Team Based Learning Team Based Learning is not a new tactic; it has a long history with an equally long track record of success. Team Based Learning isn’t simply group work. Its much more like a sports team, a group of students with a series of short term goals leading to a common long term goal. They are constantly working together, and communicating together. Teamwork is a natural instinct for educators in schools already. Most students have participated in some group work in at least one of their classes if not more (Callback, Campbell, & Borland 2000). In small groups students that were allowed to work together and communicate, those students produce higher cognitive stimulation rather then when they listen to a lecture (Change & Mao 1999). While increasing the communication between students and the educator, small groups increase the test scores of unannounced examinations by five percent (Potthast 1999). Data supports the general effectiveness of small groups, and that success can be enhanced further with a small amount of healthy competition (Sherman, & Thomas, 1986). Students who worked collaboratively have performed significantly better on exams involving application of a concepts when compared to those who worked individually (Chang, & Mao, 1999). Research has shown that Team Based Learning leads to higher achievement; more productive learning environments; positive relationships with their peers; and a greater sense of achievement then other individualistic learning experiences (Potthast, 1999). Group work has placed an important role solidifying material into the long-term memory system of the brain (Demoulin, 1999). With the current increasing standards focusing on test scores by national and local entities; Team Based Learning is an ideal strategy to Naughton 13 satisfy teachers and administrators alike, and most importantly helping the students succeed. Beyond the clearly stated gains in academia, Team Based Learning has other significant results. When using this process, one university professor noticed that his attendance continually climbed to a stunning 99% when he used this strategy (Fink, Knight, Michaelsen, 2002). This strategy also effects students’ general outlook towards a subject. When the student couples their group with success their attitude towards the subject becomes more optimistic (Thornton, 1997). The Team Based Learning process also produces students who are more equipped to look a situation, make hypothesizes, and use the data to create creative answers to logical problems, and it’s also clearly evident that Team Based Learning goes beyond its traditional academic focus (Davidson, Dees, & Robertson, 1998). There is statistical evidence found over multiple studies that suggest that when students work together in groups, they produce “higher cognitive levels of Bloom’s taxonomy.” (Chang & Mao 1999) It has been found to be effective in all subjects ranging from reading to science including mathematics. This is also not simply a local phenomenon, and it has been proven to also have statistical success in such diverse educational systems including Taiwan (Chang & Mao 1999). The success of this strategy is also not specifically oriented to any one type of student; it is statistically beneficial for Special Ed students as well as the mainstreamed students (Tateyama-Sniezek, 1990). Personally, I liked the new format for this class. It made me take ownership for my own education and I felt much more engaged in learning. I feel those that oppose this teaching style are uncomfortable with change itself. Some people tend to resist change because it forces them to step out of Naughton 14 their comfort level and think outside the box. (TateyamaSniezek, 1990). Many people go into the profession because of a deep love for the subject matter, and they also want to make a difference in the lives of young people. To increase the impact education has on students, educators need to listen and involve student voice in education discussions (Marshall, 1993). When student’s were consulted, 76% stated that they would like to have more assistance, included in that was more assistance / peer involvement. In the same survey, there was a majority of the research participants concluded that they wanted to work more often in groups (Kortering, Debettencourt & Braziel, 2005). In another survey, students responded in a large margin of 80% stating they would like more group-work (Stonewater, 2005). Most students realize that the purpose of school is to learn, and they will form the most enjoyable, yet optimal, avenue to complete that objective (Wiest, Wong, Cervantes, Craik, & Kreil, 2001). Students enjoyed the learning aspect, as well as the opportunity to help out their peers. One student reflected on Team-Based Learning saying, "I could not have learned as much without the help of my group. I also learned from helping them. This two-way flow of information that ingrains the material better than just reading or listening to lectures.” (Tateyama-Sniezek, 1990) These results provide initial evidence of what students think can improve their success, and as the patrons of the education system; it is crucial to keep the customer’s opinion in mind when making decisions (Kortering, Debettencourt & Braziel, 2005). Students are not the only advocates of this program; young and seasoned educators alike have found success using Team Based Learning, although most of them will agree that the whole processes of implementing the groups, making team oriented Naughton 15 activities, and the team building can quite time consuming (Oitzinger, & Kallgren, 2004). Some educators with over twenty years of high school experience feel that his is a worthwhile enterprise (Mitchell, Rosemary, Bramwell, Solnosky, & Lilly, 2004). At the end of one educator’s carrier, they took the time to talk about their success with the teambased approach. The educator remarked that they would never entertain the thought of returning to an individual based approach. They also remarked, Because Team Based Learning has become a standard in my courses, I was given a special faculty award for outstanding innovation in the classroom. And, incidentally, my student evaluations have significantly improved, even beyond the level I was used to under the old lecture approach. Although I am close to the standard retirement age, I am really having fun again and I am actually looking forward to meeting my classes. Team Based Learning has rejuvenated me to such a degree that I could teach forever. (Michaelsen, Knight, Fink, 2002). Many educators have used this type of strategy and faced steadfast skepticism from their peers. Although after successful trial after successful trial, practitioners cannot always convince others to use Team Based Mathematics. However, those using the strategy have become well respected for their pedagogy, and received awards for their innovation in the classroom (Fink, Knight, Michaelsen, 2002). Educators are often times looking for a strategy what will both empower their students, and invigorate themselves. Those educators who have already tried Team Based education can attest to its effectiveness in their teaching practices. Some educators also look to play to the programs strengths to eliminate traditional examinations and implement more practical assessments (Fatt, 2000). To be realistic, team based teaching is not the magic pill that will fix every classroom. It is however, a tactic that will provide Naughton 16 a deeper passion for material, produce a more effective outcome, and will produce a more enjoyable experience for the patrons – the students. Common Criticism of Team Based Learning There is evidence that Team Based Learning that has some to be skeptical of the strategy. In some cases Team Based Learning will only produce a favorable outcome if it is associated with a desired extrinsic reward (Tateyama-Sniezek, 1990). As mentioned before, there is also the opportunity for a division of the workload for efficiency purposes, and not for the quality of work purposes. There is also still the opportunity for there to be freeloaders, and workhorses within the group make-up. The research suggests that if a cohort is made up of the clashing personalities or bad team chemistry it can delay the learning process, and unfortunately even damage a student’s drive to comprehend the subject (Michaelsen, Knight, Fink, 2002). However, any time a learning environment can be damage an educator must be cautious in executing that strategy. All these criticisms bring to light the importance of making teams intelligently, that are effective, and that are balanced. In addition there is a need for intense teacher proximity to ensure positive working conditions. A student’s socio-economic status, drug and alcohol use, dysfunctional families, unnecessarily lengthy tasks, cultural forces, and other external forces could be the result of unfavorable results for prior Team Based Learning experiences (Wiest, Wong, Cervantes, Craik, & Kreil, 2001). These are common factories underlying all strategies and theories in modern education, and are realities that all educators will face regardless of their teaching location. Team Based Learning is not the magic pill that will cure all the ills of education. Naughton 17 This is a strategy with a positive track record, yet it has its drawbacks like most education techniques. However, Team Based Learning is a worthwhile strategy and has the opportunity to make a classroom more enjoyable, memorable, and effective. Students are social beings; this strategy harnesses that nature to create a very productive and helpful avenue for intellectual development (Cooper, & Robinson 1998). Even with some of the criticisms, Team Based Learning can be an effective strategy using the following methodology. Naughton 18 Chapter 3 The Purpose of the Study The purpose of this action research project will be to create and implement a program using Team Based Learning in a Mathematics classroom. The following research question will be addressed: V. To what degree will Team Based Mathematics improve student’s ability in mathematical communication? In the researcher’s experience, vocabulary is one of the best indicators of both intelligence and concept mastery. Currently students are having difficulty understanding a question, and therefore will have an exponentially more difficult time solving a problem. It is important to push current high school students beyond the basic math vocabulary of add, minus, multiply, divide. A deeper mathematical vocabulary is vital for a high school student’s development and confidence in the subject matter. VI. To what degree will Team Based Mathematics improve a student’s ability to retain previously covered material? The Team Based Mathematics Learning model makes learning an experience, and as an experience, it will help those students retain information. Mathematics is a science where each step builds upon the previous, and if the prior skills have been diminished in any way, it puts a student’s ability to master the new material at a serious disadvantage. It is unacceptable for a student to simply memorize, regurgitate, and forget. VII. To what degree will Team Based mathematics improve a student’s test score in during individual formal assessment? The current education system is showing that frequent and standard testing of all students is the most efficient way to map a student’s development. The aim of this Action Research Project is not to debate, confirm, or debunk the validity of that statement. It is Naughton 19 however, the goal of this project to see how the effects of Team Based Mathematics translate quantitatively to individual and collective assessment. In this manner, a successful program that can improve a student’s standardized test score will prove to be invaluable. VIII. To what degree will Team Based Mathematics improve a students overall enjoyment in a mathematics class? Team Based Learning is a process that students have undeniably asked for more of in their current education. As educators, it is important to incorporate the students’ need for the social as well as the academic. If students favor a particular type of activity, they often work harder at it, and will look forward to doing it again the future. Program Overview The Team Based Mathematics Program will be conducted in two distinct groups of high school students. One group will be the Experimental Group, and will be experiencing the Team Based Learning program. The other group will be the Control Group, and they will receive a more traditional educational program. These two groups however will be in Algebra 1-2, and will not be classes who are considered Advanced Placement/ Honors. Both groups will be receiving the same preassessments, assignments, and formal assessments. The same educator using the same type of delivery system will teach both groups. This will help produce two sets of data which will be used to deduce the degree to which Team Based Mathematics answers the research questions stated above. Limitations This study will only be for one semester at one school. Seven research participants started the study, but due to outside circumstances, were removed after the Naughton 20 first test. This was usually due to withdrawal from the class. Beyond these limitations, all other data was introduced into the study, and no data set was otherwise excluded from the calculations. This left one group of thirty research participants for the control group and another group of twenty-nine research participants for the experimental group. Fifty-nine research participants seemed like an acceptable number to yield definitive results. Because of scheduling issues, the control group will also be participating in the Team Building activities. Initially the study called for five full days of team building activities. After receiving some pressure from veteran teachers at the high school, the studies last two days of team building were cut from the study from both the control ground and the experimental group. The staff felt that with a full five days of team building, I [the educator] would not be able to complete the necessary topics the research participants [students] would need to complete Algebra 1. Since the first purpose of the researcher was to be an educator of Algebra 1, the last two days were cut in order to start actual instruction. It was also evident that three days of team building would be sufficient, although not ideal. The team decorum could also be gained through the longterm interaction in their groups during the guided practice activities. Also because of scheduling issues, a pre-test was not administered. The experimental group was the first class that received the material. This means that the control group would receive the same material, but could have an augmented delivery system based on the success or lack their of the first round of instruction with the experimental group. The facilitator goal is to produce an un biased action research project, while simultaneously create an effective instruction for all parties involved. Naughton 21 Facilitator The facilitator of both the instruction and data is a second year educator. He feels that teamwork is essential not only to education, but to life. Through this action research project, the researcher hopes to create an effective curriculum that allows other educators to use Team Based Learning in their own classrooms. It is created in a manner that will allow educators to use their own method of instruction, and also the benefits of the Team Based Learning. It is in the facilitator’s hopes that this program will go father then just the study of mathematics. Research Participants The research participants will be from a highly populated (2300+) high school in Nevada. They will be randomly selected by the administrators/counselors of the high school. There will be no grouping based on terms of age, sex, ethnicity, or religion. They will vary from socio-economic status, sex, intelligence, ethnicity, and skill level. The research participants will be grouped by the school, which is based out of scheduling for all the students requiring Algebra 1-2. The participants will be divided into two groups a control group, which will be all in one class period, and an experimental group which will be in another class period. Each group will consist of about thirty students. The groups will be constructed by the research using the data collected during the first week. In each of those groups, it is the goal of the research to include ten to fifteen from each for the study, although more research participants will not be discarded. The parents and the students will be informed of the study, and will be given the option to have their child excused from the study at any time. The participants were informed that they were participating in a study where the facilitator was comparing two classes. The research Naughton 22 participants and their parents will be assured that this study would not negatively affect their academic grade in the class, and that the participant’s identity would stay completely confidential. The parents will not be informed about the Team Based Learning unless their parent/guardian requested more information. Data Collection and Data Analysis The quantitative data will be used to address the first three research questions. It will be collected through three unit tests (known as “Celebrations of Knowledge”). The two groups’ data will be compared to see if there are any statistically significant differences in test scores. The data will be analyzed by various different means including, but not limited to, mean, median, mode, range, two variable t tests, and graphically. This information will be given in chapter four. The qualitative assessment for the last research question will be done by a researcher-developed survey at the conclusion of the study (See Appendix). The will coded through a series of values from one to five, five being the most helpful and one being counterproductive. This survey will ask questions specifically oriented towards each research question, as well as the study as a whole. This data will be used to record the voices of the research participants. Those voices will remain confidential and be assigned a random number and letter. The survey can be found in its entirety in the appendix. This information will be available in chapter four. Team Building and Team Chemistry Development The control and experimental groups will participate in a week long series of preassessments, and team building activities. Its focus will be creating an atmosphere suitable for Team Based Learning to take place, and will last for one week. There are Naughton 23 particular activities for each day, and for homework that evening. The activities start out with very low risks for students physically, socially, and emotionally. As the week continues, they become increasingly more difficult requiring a deeper amount of trust, participant collaboration, intellectual and physical activity. Day 1 activity “If I were…” is an example of an easy activity, and Day 5 activity “Jump Rope Run” is an example of a more difficult activity. The result will provide the researcher with data about class dynamics, and help in group formation. During the activities, the researcher will be making diligent and thorough observations that will help him construct the groups after Day Five. Theses activities are not particular to any Team Based Learning program, but are a collection organized by the researcher. Additional information for all activities including printable worksheets is available in the appendix. Day One During the first day, the students will be given out the syllabus of the class, and the letter of consent about the study. The research participants will then go into a name game named “If I Were…” (Canfield & Siccone 1995, 145-147). In this activity, research participants will use the If I Were… Worksheet to interview their classmates with a low amount of disclosure. For homework, the research participants will complete “The Danger of Dracula.” (Johnson & Johnson 2006, 22-24) This activity will be done individually. The purpose of the activity is to categorize the best ways to kill “Dracula.” The reason for this activity is for them to have some background knowledge before the next day’s sharing activity. If the research participants have some background knowledge, it is the researcher’s opinion, that they will then perform better in the group in Day two. Naughton 24 Day Two The second day’s activity will to put the research participants into groups of three to four, and have them share their analysis on how best to kill Dracula. Then as a group they will complete the same activity as a group. The purpose of this activity is to see how the individuals interact with each other. It is important to look at the differences between the leaders, and those who are withdrawing from the group activity. After this activity, the research participants will engage in a similar activity, “Navy.” The research participants will get into groups of three to five, and it must be different from prior groups. In this activity, research participants will be ship wrecked on an island, and they can only bring thirteen items which they have to select from a very specific list. The group mindset is survival and rescue. Unlike “The Danger of Dracula” the research participants will not have any background knowledge. They will have to complete this activity as a group. After each group has finalized their lists, the will be asked to compare and contrast their list with the list produced by the United States Coast Guard. The homework for Day 2 will be a learning styles test known as a Learning Styles Test. Research participants will answer a questionnaire about their learning practices. This will produce a basic idea of the research participant’s dominate and passive learning styles. This will beneficial for the research and the research participants to know, and will help in group formation. Day Three In Day Three, the research participants will grade a learning styles test from the night before and have a class discussion on the results. Following the discussion, the Naughton 25 research participants will once again get into group of three to four. Research participants will participate in “Coop Square Building. (Canfield & Siccone 1995, 435-438).” In this activity, research participants will receive a couple of envelope filled with polygons of different sizes and shapes. The research participants will have construct four congruent squares using all the polygons only once. The purpose of this activity is to see how the individuals interact with each other. It is important to look at the differences between the leaders, and those who are withdrawing from the group activity. The homework for Day Three the students will take home a math pretest. This will measure the current level of each research participants’ skill level. This is important to help shape the groups. This will allow the researcher to make groups as equal as possible in their math skill level. Day Four In Day Four, the initial activity for the research participants will be to grade the pretests from the night before. The researcher will then record the information only for the purposes of group formation and no academic grade will be given based on accuracy. The research participants will get into groups of four for the team builder “Blind Square.” In this activity, research participants will be blind-folded and asked to make a regular square, rectangle, and triangle. The research participants will have to rely on auditory commands, and other types of communication to complete the task. It is important to look at the differences between the leaders, and those who are withdrawing from the group activity. The second activity of the day will be the “Pantyhose Stuff.” In this activity, the research participants will again be in different groups of three to five. The objective is to Naughton 26 place as many objects into pantyhose without breaking the stocking or creating a “run.” The groups will have two minutes to brainstorm, and then two minutes to complete the activity. The group will only have one pair of pantyhose so it the brainstorming step will be crucial. This focus of this activity is the brainstorming aspect since they [research participants] only have one opportunity to win the activity. The researcher will be looking for creativity, leadership, and teamwork, and applying that observational data to group forming. The third activity of the day will be the “Egg Drop.” In this activity, the research participants will be placed into groups of three to four. The researcher will be placing the research participants into these groups based on preliminary data. The researcher participant groups will be given twenty popsicle sticks, a balloon, ten plastic straws, six cotton balls, seven sheets of notebook paper, three feet of string, and three feet of duct tape. From those supplies the research groups will have to construct an apparatus / shell / contraption that will help a non-hard boiled egg withstand a ten foot drop. The groups will have fifteen minutes to brainstorm and construct. Afterwards, each group will drop their egg from ten feet to see if their contraction was successful. For Day Four’s homework assignment, the research participants will take a conflict analysis test (Johnson & Johnson 2006, 374-379). The research student will answer questions to see how they react when confronted with difficult and unpleasant situations. Day Five Day Five will start with grading the prior night’s Conflict Test. The researcher will take those into account when he makes the groups at the conclusion of Day Five. Naughton 27 There will be a brief discussion on expectations, and successful procedures when conflicts arise in a group atmosphere. The first activity of the day will be the “Jump Rope Run.” In this activity, all the research participants get from one side of a jump rope to the other. While it is swinging, only one research participant can run under the rope at a time, and the others must follow without skipping one rotation of a rope. If the rope does skip, the whole group must start over again. Second activity on Day Five will be the “Human Knot.” The research participants will be placed into groups of three to five. The research participants will get into a circle, and grab another person’s hand (Note: a researcher participant must be holding two different people’s hand). The objective is to untangle themselves without letting go of the other research participant’s hand. The final activity of Day five will be “Tarp Flip.” The research participants will be placed on a tarp, and they must get everyone onto the other side of the tarp without stepping off the tarp. These final activities are aimed to produce a group trust, and to finalize the group dynamic for the researcher. After this activity, the researcher will take all the data and observations, and place the research participants into groups of three to five (preferable four). The experimental group will be placed into those groups for the duration of the three-unit study. Those groups will be arranged into seating clusters, and will reside in that area for the rest of the study. The control group will not be placed into groups, and will be seated in traditional rows and columns. Concept Delivery The delivery of the mathematical vocabulary, topics, and methods will be the same for the experimental group and the control group. There will be a number of Naughton 28 different strategies depending on the topic of the day. This is where the researcher (and other educators) can use their own personal strengths, and strategies to educate the research participants. There will be no data, or observations from this section; its purpose is specifically teaching mathematical concepts to the research participants. Team Reliance / Peer to Peer Interaction This step will be specific to the experimental group, and the control group will not use this step. After the completion of the days lecture, or part of the lecture, the team will check to make sure each student understands the new material, and makes sure that the each research participants’ notes are complete and accurate. The researcher will distribute Team Reliance worksheets where each research participants of the team must work together to complete. The research will check for accuracy and that all students participated by using colored pencils. The purpose is to 1) check for understand of the research participants, and 2) teams are working collectively. Once this step is completed, the research participants will then complete their Independent Practice or Homework (known to the research participants as “Homefun”). There will only be observations taken in this section, and no qualitative or quantitative data will be taken. Group Assessment This step will be specific to the experiment group, and the control group will not use this step. In this phase, research participants will be assessed collectively using a different assessment types. This could also include real life examples of the concept, or portfolio activities. They will be required to work together to complete the formal assessment. The goal of this section for the research participants to see a version of an assessment in test type situation, and hope to finalize any problems before the individual Naughton 29 assessment is administered. The data collection will be used to help determine the effectiveness of the group’s team chemistry and work habits of the experimental groups. That data will be analyzed and available in chapter four and five. Individual Assessment This step will be used in both the experimental group and the control group. At the conclusion of each unit, the research participants will be assessed individually. There will be no group work in this assessment in order to see if the research participant is comprehending the material, and not simply relying on their group to succeed. The first was through the assessment (Test) scores of the Experimental scores as they compared the Control Group. After three sections of covered material, the research participants would take a test do measure their competency in the covered material. The research participant needed to get the entire problem correct to receive one point. If a research participant missed one part, however minute, resulted in not receiving a point for that question. In each test there are nine possible points. The data was collected and analyzed individually and comparatively to the other group. It is also providing the main source of quantitative data that will be used to compare the degree of effectiveness between the experimental group and control group. Survey This step will be used in both the experimental group and the control group, however each group will have different surveys. Research participants will take surveys to evaluate the effectiveness of the method and their enjoyment in the process. The survey will be structured so that the research participants can rate the effectiveness of Team Based Learning as it pertains to each individual research question. The survey will Naughton 30 also give them a voice to share their thoughts on the study as a whole. This is will be main source of qualitative data for the study. The surveys are organized in the following order, 5 – Very Helpful, 4 – Moderately Helpful, 3 – Of little Help, 2 – No Help, and 1 – Distracted me from learning, and was counter productive. Both surveys can be seen in the Appendix. Methodology in Closing It is crucial for the research, and those who are recreating this action research project, to use effective classroom management. As noted in chapter two, Team Based Learning can be very effective, or it can be very distracting to the learning process. The researchers best tool in this experiment will be proximity to the research participants and keeping the groups on task. In Team Based Learning especially, the research participants can become good friends, and want to participate in other distractive activities. This is not a study of classroom management. The main focus of Team Based Learning is to the capture the social nature of the research participants, and harness that energy to enhance the learning process. Naughton 31 Chapter 4 - Data Analysis 1. To what degree will Team Based Mathematics improve student’s ability in mathematical communication? To answer this research question, the researcher used questions five and six of the survey given at the end of the study. These questions were answered by the twenty-nine research participants of the experimental group. Question five read, “To what degree did the team based approach help you [the student] use the vocabulary more frequently.” Question six read, “To what degree did the team based approach help you [the student] use the vocabulary more confidently?” In survey question five, 14 of 29 (48.276%) responded with a rating of 3, 12 of 29 (41.379%) responded with a rating of 4, and 3 of 29 (10.345%) responded with a rating of 5. No research participant gave a rating of 2, or 1 (See Figure 4.1). A research participant felt that the communication from their peers was helpful because, “[Team Based Learning] allowed me to hear it from another point of view.” Another research participant recalled that the best part of the Team Based Learning Groups was that he learned a lot, but his least favorite was that there was often times too much talking from their group and others around him. Question five had the following data in data table 4.1. Table 4.1 Survey Question 5 Number 29 Mean 3.6552 Mode 3 Median 4 In survey question six, 1 of 29 (3.448%) responded with a rating of 2, 11 of 29 (37.931%) responded with a rating of 3, 11 of 29 (37.931%) responded with a rating of 4, and 6 of 29 (20.690%) responded with a rating of 5. No research participant gave a Naughton 32 rating of 1 (See Figure 4.1). One research participant felt that the communication from their peers was helpful because, “[Team Based Learning] allowed me to hear it from another point of view.” This Question five had the following data in data table 4.2. Table 4.2 Survey Question 6 Number 29 Mean 3.7586 Mode 3 and 4 Median 4 2. To what degree will Team Based Mathematics improve a student’s ability to retain previously covered material? To answer this research question, the researcher used question four of the survey given at the end of the study. This question was answered by twenty-nine research participants of the experimental group. Question four read, “To what degree did the team based approach help you [the student] retain the previously covered material?” In survey question four, 3 of 29 (10.345%) responded with a rating of 3, 12 of 29 (41.379%) responded with a rating of 4, and 15 of 29 (51.724%) responded with a rating of 5. No research participant gave a rating of 2, or 1 (See Figure 3). One research participant stated that, “what I liked the best about Team Based Learning was if I didn’t understand something, I [research participant] could ask my team mates for help.” Another research participant stated that, “if you don’t understand something, another student can help you. So can the teacher, but from another student it’s more understandable.” Question five had the following data in data table 4.3. Table 4.3 Survey Question 7 Number 29 Mean 4.3793 Naughton 33 Mode 5 Median 4 3. To what degree will Team Based Mathematics improve a student’s ability to retain previously covered material? To answer this research question two different means will be analyzed. The first is the series of three tests given to the Experimental Group (n = 29) and Control Group (n = 30). The two groups will be compared throughout the process. On Test 1, the Experimental Group had a mean of 4.9310, and the Control Group averaged 4.8333 out of nine points possible. While the Experimental Group had a higher average, the difference was not statistically significant (p > 0.05). Here is the following data for test 1 (Table 4.4). See figure 4.4, and 4.5 for graphical representations including box and whisker plot, and bar graph. Table 4.4 n Experimental 29 Control 30 mean 4.9310 4.8333 Standard Deviation 2.0445 2.1023 Degrees of Freedom 56.9999 T value -0.202798 P value 0.5799 On Test 2, the Experimental Group had a mean of 4.8621, and the Control Group averaged 5.4667 out of nine points possible. While the Control Group had a higher average, the difference was not statistically significant (p > 0.05). Here is the following data for test 1 (Table 4.5). See figure 4.5, and 4.6 for graphical representations including box and whisker plot, and bar graph. Table 4.5 n mean Standard Deviation Naughton 34 Degrees of Freedom T value P value Experimental 29 Control 30 4.8621 5.4667 1.3289 2.0126 50.4330 -1.3659 0.9110 On Test 3, the Experimental Group had a mean of 3.2414, and the Control Group averaged 3.1667 out of nine points possible. While the Experimental Group had a higher average, the difference was not statistically significant (p > 0.05). Here is the following data for test 1 (Table 4.6). See figure 4.7, and 4.8 for graphical representations including box and whisker plot, and bar graph. Table 4.6 n Experimental 29 Control 30 mean 3.2414 3.1667 Standard Deviation 1.6617 1.8953 Degrees of Freedom 56.4735 T value P value 0.1612 0.4363 The other means was through question seven of the survey given at the end of the study. This question was answered by twenty-nine research participants of the experimental group. Question seven read, To what degree did the group assessments of the team based approach help you [the student] understand the concept? In survey question seven, 5 of 29 (17.241%) responded with a rating of 3, 9 of 29 (31.034%) responded with a rating of 4, and 15 of 29 (51.729%) responded with a rating of 5. No research participant gave a rating of 2, or 1 (See Figure 4.9). Question seven had the following data in data table 4.7. Table 4.7 Survey Question 7 Number 29 Mean 4.6897 Naughton 35 Mode 5 Median 5 4. To what degree will Team Based Mathematics improve a students overall enjoyment in a mathematics class? To answer this research question, the researcher used questions eight and nine of the survey given at the end of the study. This question was answered by twenty-nine research participants of the experimental group. Question eight read, “To what degree did you find the team based approach to mathematics helpful in the overall learning Mathematics?” In survey question four, 1 of 29 (3.448%) responded with a rating of 3, 8 of 29 (27.586%) responded with a rating of 4, and 20 of 29 (68.966%) responded with a rating of 5. No research participant gave a rating of 2, or 1 (See Figure 4.10). One research participant said that math was fun until the Team Based Learning groups stopped. Another research participant said, “Team based [learning groups] helps you interact with classmates, and it’s fun to learn that way.” And another research participant echoed stating, “Team Based [Learning], I think its more fun and if class is fun kids are ganna want to come and learn.” Question eight had the following data in data table 4.8. Table 4.8 Survey Question 8 Number 29 Mean 4.6552 Mode 5 Median 5 Question nine read, “To what degree did you find the team base approach to mathematics enjoyable?” In survey question four, 1 of 29 (3.448%) responded with a rating of 1, 2 of 29 (6.897%) responded with a rating of 3, 9 of 29 (31.034%) responded with a rating of 4, and 17 of 29 (58.621%) responded with a rating of 5. No research participant gave a rating of 2 (See Figure 4.10). One research participant said, “The Team based approach because having your friends help you with that you is a lot better then someone you Naughton 36 barely know [the educator].” One research participant said that math was fun until the Team Based Learning groups stopped. Another stated, “No, I like things how they are [meaning the more traditional lecture style approach].” Another introverted research participant stated that they did not enjoy it at all. Some students did not appreciate doing it every day. One research participant showed one of the flaws in the Team Based Learning when they answered the same question. “No, because I like working in groups with other people it helps me out a lot, but when I am with my friends I get distracted from the work and start talking.” Question nine had the following data in data table 4.9. Table 4.9 Survey Question 8 Number 29 Mean 4.4148 Naughton 37 Mode 5 Median 5 References Bonner, P. J. (2006). Transformation of Teacher Attitude and Approach to Math Instruction through Collaborative Action Research. Teacher Education Quarterly, 33(3), 27. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5028548393 Bryant, S. M., & Albring, S. M. (2006). Effective Team Building: Guidance for Accounting Educators. Issues in Accounting Education, 21(3), 241+. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5017234868 Canfield, Jack & Siccone, Frank, (1995). 101 Ways to Develop Student Self-Esteem and Responsibility. Needham, Massachusetts: Allen and Bacon. Chang, C., & Mao, S. (1999). The Effects on Students' Cognitive Achievement When Using the Cooperative Learning Method in Earth Science Classrooms. School Science and Mathematics, 99(7), 374. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5002339379 Colbeck, C. L., Campbell, S. E., & Bjorklund, S. A. (2000). Grouping in the Dark. Journal of Higher Education, 71(1), 60. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5001161539 Cornell, C. (1999). "I Hate Math! I Couldn't Learn It, and I Can't Teach It!". Childhood Education, 75(4), 225+. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5002315375 Naughton 38 Demoulin, D. F. (1999). Comparing the Job-Skill Requirements and Self-Fulfillment for a Group of Future Teachers. Education, 119(3), 519. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5001259636 Demoulin, D. F. (1999). A Personalized Development of Self-Concept for Beginning Readers. Education, 120(1), 14. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5001772803 Eastman, J. K., & Swift, C. O. (2002). Enhancing Collaborative Learning: Discussion Boards and Chat Rooms as Project Communication Tools. Business Communication Quarterly, 65(3), 29+. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5000833120 Erwin, J. C. (2004). The Classroom of Choice: Giving Students What They Need and Getting What You Want. Alexandria, VA: Association for Supervision and Curriculum Development. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=111485422 Fatt, J. P. (2000). Fostering Creativity in Education. Education, 120(4), 744. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5001765488 Hale, P. (2007). They Know the Math, but the Words Get in the Way. Focus on Learning Problems in Mathematics, 29(1), 28+. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5028569610 Naughton 39 Helwig, A. A. (2004). A Ten-Year Longitudinal Study of the Career Development of Students: Summary Findings. Journal of Counseling and Development, 82(1), 49+. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5002100155 Higgins, M. J. (2009). Standardised Tests: Wristwatch or Dipstick?. Research in Education, 81(1), 1+. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5035167523 Johnson, David W & Johnson, Frank P, (2006) Joining Together: Group Theory and Group Skils 9th Edition. Boston: Allen and Bacon. Jones, B. M., Fleming, D. L., Henderson, J., & Henderson, C. E. (2002). Common Denominators: Assessing Hesitancy to Apply to a Selective Residential Math and Science Academy. Journal of Secondary Gifted Education, 13(4), 164+. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5000790115 Kerr, D. L., & Sutton, J. C. (1995). Focus on Teaching: Classroom-to-Workplace Bridges. Business Communication Quarterly, 58(1), 47+. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5001646872 Knowles, L. (1999). Focus on Math. T H E Journal (Technological Horizons In Education), 26(10), 24. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5001260394 Naughton 40 Kortering, L. J., Debettencourt, L. U., & Braziel, P. M. (2005). Improving Performance in High School Algebra: What Students with Learning Disabilities Are Saying. Learning Disability Quarterly, 28(3), 191+. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5011157213 Kreie, J., Headrick, R. W., & Steiner, R. (2007). Using Team Learning to Improve Student Retention. College Teaching, 55(2), 51+. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5021239279 Kuttan, A., & Peters, L. (2006). Calculating a Future That Doesn't Add Up: Failing to Reverse the Trends in Our Math and Science Education Will Have Severe Effects on Our Children's Welfare-And the Nation's, Too. T H E Journal (Technological Horizons In Education), 33(9), 48+. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5014864727 Lancaster, K. A., & Strand, C. A. (2001). Using the Team-Learning Model in a Managerial Accounting Class: An Experiment in Cooperative Learning. Issues in Accounting Education, 16(4), 549+. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5000926520 Lee, H., & Herner-Patnode, L. M. (2007). Teaching Mathematics Vocabulary to Diverse Groups. Intervention in School & Clinic, 43(2), 121+. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5023737352 Naughton 41 Lewis, A. C. (2005). WASHINGTON COMMENTARY: Endless Ping-Pong over Math Education. Phi Delta Kappan, 86(6), 420. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5008813930 Maguad, B. A. (2003). Using Total Quality to Achieve Continuous Improvement in the Classroom. Education, 124(2), 412+. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5002093686 Marshall, J. (2003). Math Wars: Taking Sides. Phi Delta Kappan, 85(3), 193. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5002027112 Marshall, J. (2006). Math Wars 2: It's the Teaching, Stupid! in Math Classes, Teachers Often Focus Instruction on the Formulas and Processes Needed to Solve Different Types of Problems but Neglect to Teach the Concepts on Which These Tools Are Based. before They Can Do This, Mr. Marshall Argues, Teachers Themselves Need to Understand "Understanding Math.". Phi Delta Kappan, 87(5), 356. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5014543483 Marshall, K. (1993). Teachers and Schools - What Makes a Difference: A Principal's Perspective. Daedalus, 122(1), 209+. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5000154234 Naughton 42 Mayes, T. A. (2003). Persons with Autism and Criminal Justice: Core Concepts and Leading Cases. Journal of Positive Behavior Interventions, 5(2), 92+. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5001905286 Mitchell, S. N., Rosemary, R., Bramwell, F. G., Solnosky, A., & Lilly, F. (2004). Friendship and Choosing Groupmates: Preferences for Teacher-Selected vs. Student-Selected Groupings in High School Science Classes. Journal of Instructional Psychology, 31(1), 20+. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5006016867 Newman, J. M. (1998). We Can't Get There from Here: Critical Issues in School Reform. Phi Delta Kappan, 80(4), 288. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5001402824 Oitzinger, J. H., & Kallgren, D. C. (2004). Integrating Modern Times through Student Team Presentations: A Case Study on Interdisciplinary Team Teaching and Learning. College Teaching, 52(2), 64+. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5006255635 Ormsbee, C. K. (2001). Effective Preassessment Team Procedures: Making the Process Work for Teachers and Students. Intervention in School & Clinic, 36(3), 146. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5000070509 Naughton 43 Payne, B. K., Monk-Turner, E., Smith, D., & Sumter, M. (2006). Improving Group Work: Voices of Students. Education, 126(3), 441+. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5015435651 Pena, E. D., & Quinn, R. (2003). Developing Effective Collaboration Teams in SpeechLanguage Pathology: A Case Study. Communication Disorders Quarterly, 24(2), 53+. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5008884075 Petty, R. E., Wegener, D. T., & Fabrigar, L. R. (1997). Attitudes and Attitude Change. 609+. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5001515131 Potthast, M. J. (1999). Outcomes of Using Small-Group Cooperative Learning Experiences in Introductory Statistics Courses. College Student Journal, 33(1), 34. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5001893148 Pretzer, W. S., Rogers, G. E., & Bush, J. (2007). A Model Technology Educator: Thomas A. Edison Recognizing Edison's Incorporation of Team-Based, Cooperative Learning into His Development Process Is Essential to Appreciating His Success and His Influence Today. The Technology Teacher, 67(1), 27+. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5022964581 Naughton 44 Robyn, E. (2000). Creating Tribes. College Teaching, 48(2), 65. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5001754747 Ruffins, P. (2007, March 8). A Real Fear. Diverse Issues in Higher Education, 24, 17+. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5035390011 Rutter, M. (2000). Genetic Studies of Autism: From the 1970s into the Millennium. Journal of Abnormal Child Psychology, 28(1), 3. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5001220619 Sauers, D., & Walker, R. C. (2004). A Comparison of Traditional and Technology-Assisted Instructional Methods in the Business Communication Classroom. Business Communication Quarterly, 67(4), 430+. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5008546264 Sharan, S. (Ed.). (1999). Handbook of Cooperative Learning Methods. Westport, CT: Praeger. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=29040261 Sherman, L. W., & Thomas, M. (1986). Mathematics Achievement in Cooperative Versus Individualistic Goal-Structured High School Classrooms. Journal of Educational Research, 79(3), 169-172. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=80924576 Naughton 45 Stonewater, J. K. (2005). Inquiry Teaching and Learning: The Best Math Class Study. School Science and Mathematics, 105(1), 36+. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5008307025 Strate, L. (2003). Something from Nothing: Seeking a Sense of Self. ETC.: A Review of General Semantics, 60(1), 4+. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5001943626 Streuling, G. F. (2002). Chapter 9 Overcoming Initial Mistakes When Using Small Groups. In Team-Based Learning: A Transformative Use of Small Groups, Michaelsen, L. K., Knight, A. B., & Fink, L. D. (Eds.) (pp. 137-147). Westport, CT: Praeger. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=106996528 Su, A. Y. (2007). The Impact of Individual Ability, Favorable Team Member Scores and Student Perception of Course Importance on Student Preference of Team-Based Learning and Grading Methods. Adolescence, 42(168), 805+. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5024775868 Tateyama-Sniezek, K. M. (1990). Cooperative Learning: Does It Improve the Academic Achievement of Students with Handicaps?. Exceptional Children, 56(5), 426+. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5000117698 Naughton 46 Michaelsen, L. K., Knight, A. B., & Fink, L. D. (Eds.). (2002). Team-Based Learning: A Transformative Use of Small Groups. Westport, CT: Praeger. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=106996395 Thornton, P. D. (1997). Attitude. Journal of Environmental Health, 59(9), 4. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5002236832 To Debunk or Not to Debunk. (2007, November/December). The Humanist, 67, 5. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5023971493 Wiest, D. J., Wong, E. H., Cervantes, J. M., Craik, L., & Kreil, D. A. (2001). Intrinsic Motivation among Regular, Special and Alternative Education High School Students. Adolescence, 36(141), 111. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5001025322 Williams, K. D. (1996). Cooperative Learning: A New Direction. Education, 117(1), 39+. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5001640598 Wood, W. (2000). ATTITUDE CHANGE: Persuasion and Social Influence. 539. Retrieved March 6, 2010, from Questia database: http://www.questia.com/PM.qst?a=o&d=5001215836 Naughton 47 Figures Figure 4.1 15 10 Frequency Question 5 Question 6 5 0 1 2 3 4 5 Rated Answer Figure 4.1 Shows the answers to survey questions 5 and 6. This information is used to answer Research Question 1. See Chapter 4. Figure 4.2 15 10 Frequency 5 Question 4 0 1 2 3 4 5 Rated Answer Figure 4.2 Shows the answers to survey questions 4. This information is used to answer Research Question 2. See Chapter 4. Naughton 48 Figure 4.3 8 6 Frequency 4 Experimental 2 Control 0 0 2 4 6 8 Test 1 Scores Figure 4.3 shows the Test 1 scores. This information is used to answer Research Question 3. See Chapter 4. Test 1 Comparative Summery 0 1 2 3 4 5 6 7 8 9 Experimental Control Figure 4.4 shows the box plot of Test 1 scores. This information is used to answer Research Question 3. See Chapter 4. Naughton 49 Figure 4.5 10 8 6 Frequency 4 2 0 Experimental Control 0 2 4 6 8 Test 2 Scores Figure 4.5 shows the Test 2 scores. This information is used to answer Research Question 3. See Chapter 4. Test 2 Comparative Summery 0 1 2 3 4 5 6 7 8 9 Experimental Control Figure 4.6 shows the box plot of Test 2 scores. This information is used to answer Research Question 3. See Chapter 4. Naughton 50 Figure 4.7 10 8 6 Frequency 4 2 0 Experimental Control 0 2 4 6 8 Test 3 Scores Figure 4.7 shows the Test 3 scores. This information is used to answer Research Question 3. See Chapter 4. Test 3 Comparative Summery 0 1 2 3 4 5 6 7 8 9 Experimental Control Figure 4.8 shows the box plot of Test 3 scores. This information is used to answer Research Question 3. See Chapter 4. Naughton 51 Figure 4.9 15 10 Frequency 5 Question 7 0 1 2 3 4 5 Rated Answer Figure 4.9 shows the answers to survey question 7. This information is used to answer Figure 4.2 15 10 Frequency 5 Question 4 0 1 2 3 4 5 Rated Answer Research Question 3. See Chapter 4. Figure 4.10 20 15 Frequency 10 Naughton 52 Question 8 Figure 4.10 shows the answers to survey questions 8 and 9. This information is used to answer Research Question 4. See Chapter 4. Naughton 53