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The Assessment of Mathematical Understanding & Skills – Both Necessary & Neither One Sufficient Judah L. Schwartz Visiting Professor of Education Research Professor of Physics & Astronomy Tufts University & Emeritus Professor of Engineering Science & Education, MIT Emeritus Professor of Education, Harvard 1 The structure of statements in mathematics- The role of objects and actions 2 Typical mathematical objects encountered in pre-university education include number & quantity e.g. integers, rationals, reals, measures of mass, length, time, etc shape & space e.g. lines, polygons, circles, conic sections, etc. patterns & functions e.g. linear, quadratic, power, rational, transcendental, etc. arrangements e.g., permutations, combinations, graphs, trees, etc. 3 Assessing understanding Understanding is largely a matter of formulating a problem or modeling and then mathematizing a situation 4 In the case of understanding tasks, this means that problem solvers must be asked to • choose an appropriate mathematical object and then shape it to represent the essential elements of the situation being mathematized. • derive some set of consequences of their mathematization of the situation [i.e., by manipulating or transforming their models in some way[ • so that they may then make inferences and draw conclusions about their models and mathematizations. 5 Assessing skills Skill is largely a matter of being able to move nimbly [e.g, by manipulating and/or transforming] among equivalent representations [almost exclusively with symbols] 6 Assessments of both understanding and skill need to include opportunities for problem solvers • to make inferences about their actions, • draw conclusions about the reasonableness/appropriateness of their results and • modify, if necessary, what they have done. Thus we see the cyclical (and vector) nature of problem solving. 7 Understanding tasks should include opportunities to see • Modeling/formulating • Manipulating/transforming • Inferring/drawing conclusions on the part of those doing the task Modeling & Formulating 8 Manipulating & Transforming Inferring & Drawing conclusions Skills tasks should include opportunities to see • Manipulating/transforming • Inferring/drawing conclusions on the part of those doing the task Manipulating & Transforming 9 Inferring & Drawing conclusions This implies that • understanding tasks should have 3-tuple grades and that • skills tasks should have 2-tuple grades. 10 Some examples of Understanding tasks with a focus on formulating & modeling 11 designing • a measure • a computation • a mathematical object 12 designing a measure“ - Ness” tasks Perceptually available stimuli – problem can be posed for the youngest ages but allows for extension to increasingly sophisticated students 13 CC F A A E B B D G H 1. Given the figures above, devise a definition for square-ness. Arrange the rectangles in order of square-ness. Given any two rectangles, can you draw another rectangle that has an intermediate value of square-ness? 2. Write a formula which expresses your measure of square-ness. You may introduce any labels and definitions you like and use all the mathematical language you care to. 3. Use a ruler to measure any lengths you may need to use in your formula. Calculate a numerical value for the square-ness of each rectangle. (You may use a calculator.) 4. What other measures of square-ness can you devise? What are the advantages and disadvantages of each method? 14 J Interesting extensions include (but are not limited to) defining square-ness for a collection of parallelograms and defining square-ness for closedconvex curves 15 Smoothness of spheres Consider several “spheres” – a ping-pong ball, an orange, a basketball, the earth. Devise a measure of “sphere-ness” that allows you to order these “spheres” (and any other collection of spheres) in order of their “sphere-ness”. 16 This is a practical problem in the manufacture of ball-bearings which in turn affects the manufacture of bearings for rotating machinery such as centrifuges, motors, etc. 17 Mount Everest – 8,850 meters above sea level Marianas trench – 10,900 meters below sea level Mean radius of earth – 6,378 km – 6,378,000 meters 18 Smoothness of surfaces Devise a measure of smoothness for a “planar” surface. [Another practical application[ Here is a function of time How smooth is it? 19 …but smoothness isn’t always obvious! etc., etc…. All the horizontal lengths on the “staircase” and all the vertical lengths on the “staircase” always add up to the sum of the lengths of the two legs of the triangle . But if we continue the sequence the “staircase” approaches the hypotenuse as closely as we want . Is the hypotenuse “smooth ?” Is the “staircase” smooth”? 20 Classic example of designing a measure Body-mass index = Weight (in Kilograms) Height (in meters) x Height (in meters) Body Mass Index Weight status <18.5 between 18.5 and 24.9 between 25.0 and 29.0 >30.0 underweight normal overweight obese Why is this a good measure ? 21 designing a computation– Fermi tasks On the difference between an estimate and an approximation Estimates are approximate computations that draw upon the students’ knowledge of the magnitude of “benchmark” quantities in the world around them such as the height of a person is about 1.5 to 2 meters (and not 15 to 20 meters), the weight (mass) of a liter of milk is about 1 kg (and not 100 gm or 10 kg) etc. 22 Approximations are computations made with numbers that are rounded. The degree of roundedness is determined by the students’ purpose in making the approximation and the desired precision of the computation. 39.67 x 421.8 is approximately equal to 16000 for some purposes – it is approximately equal to 16733 for other purposes – and it is equal to 16732.806 for still other purposes N.B. if 39.67 and 421.8 are measured numbers then the most one can say with certainty is that their product is between 16728.71375and 16736.89875 This is because 39.67 is greater than 39.665 and less than 39.675 and 421.8 is greater than 421.75 and less than 421.85. 23 We estimate Numbers e.g., How many pianos are there in Tel Aviv? Mass (weight) e.g., How much does a piece of paper weigh? Length e.g., How long a line can you write with a ball point pen? Area e.g., What is the surface area of a kitchen sponge? Volume e.g., What is the volume of a human being? Time e.g., How long does it take you to eat your own weight in food? Derived quantities such as speed, density, etc. e.g., How fast does you hair grow (in km/hr)? Answering any of these questions involves designing a computation that concatenates the multiplication (or division) of a series of quantitative benchmarks and standard conversion factors. 24 designing a mathematical object example generation Here are two shapes. Which has the larger area? the larger perimeter? Is it always true that the shape with the larger area has the larger perimeter? Why or why not? Consider the shape with the larger area. Can you draw a shape that has a larger area but a smaller perimeter? Consider the shape with the smaller area . Can you draw a shape that has a smaller area but a larger perimeter? Consider the shape with the larger perimeter. Can you draw a shape that has a larger perimeter but a smaller area? Consider the shape with the smaller perimeter. Can you draw a shape that has a smaller perimeter but a larger area? 25 Between-ness questions Arithmetic Here are two subtraction problems - 52 29 - 74 48 Make up a problem whose answer lies between the answers to these two problems. How many such problems can you make up? How do you know? 26 Algebra Here are two quadratic functions 1 + x2 and 19 – x2 Make up a quadratic function that, for every value of x, is larger than or equal to the smaller of these two functions AND is smaller than or equal to the larger of these two functions. What can you say about how many such quadratic functions there may be? Could there be a linear function that, for every value of x, is larger than or equal to the smaller of these two functions AND is smaller than or equal to the larger of these two functions? Why or why not? 27 Which is a better way to construct a regression line? For what purpose? 28 Some examples of Skills tasks with a focus on manipulating and transforming 29 “Show that” problems Build a sequence of allowed transformations between x=2 and 4(x + 3(x +2(x +1))) = 104 How many such sequences can you build? As ordinarily posed, the problem of solving a linear equation has a unique solution. Here the student is asked to devise a possible chain of intermediate equivalent equations. There is not a unique such chain. 30 “Broken Calculator” problems Place value Single-digit number facts Non-uniqueness of computational procedures 31 With only the 0, 1, + and – functioning, make the calculator display 1970. In leading digit mode, compute 34 x 567. Compute 987 + 654 with the + key disabled. With the 0, 2, 4, 6, 8 keys, how many different ways can you construct an even number? 32 Fragmented Arithmetic problems Here is a subtraction problem that was partially erased 8 ___ _ ___ 7 _______________ 5 ___ 1. Can you fill in a possible set of missing digits? [The missing digits need not be the same as one another.] 2. How many possible answers are there? What are they? 3. How do you know you found all the possible answers? 33 And here is a multiplication problem that was partially erased. 1 ___ ___ ________________ 9 ___ 1. Can you fill in a possible set of missing digits? [The missing digits need not be the same as one another.] 2. How many possible answers are there? What are they? 3. How do you know you found all the possible answers? 34 Write a comparison of functions whose solution set has • • • • • 35 no elements exactly one element exactly two elements a finite number (>2) of elements an infinite number of elements As a specific example write an equation or inequality whose solution set is • • • • • empty x=1 x = 1 or x = 2 x = 1 or x = 2 or x = 3 x 1 and x 3 In each of these cases, how many possible correct answers are there? How do you know? 36 Implications for the writing of rubrics and for grading 37 Each Understanding task should have 3 grades • formulating & modeling • manipulating & transforming • inferring & drawing conclusions <f/m, m/t, i/dc > 38 Each Skills task should have 2 grades • manipulating & transforming • inferring & drawing conclusions > m/t, i/dc < 39 Performance on the separate dimensions of a task should not be aggregated A grade of >5/5 ,1/5 ,3/5 < is not equivalent to a grade of >1/5 ,5/5 ,3/5 < 40 Just as it makes little sense to aggregate grades across problem dimensions… …rubrics for understanding tasks should consider performance on each of the three dimensions of performance separately and …rubrics for skills tasks should consider performance on each of the two dimensions of performance separately. 41