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Vinnette Gibson
Intelligent Tutoring Systems
Troy University
EDU 6606
Intelligent Tutoring
Systems
(ITS)
ITS applies artificial intelligence
techniques to computerassisted instruction allowing
individualized instruction.
Intelligent Tutoring Systems
(ITS)




Tutoring Module containing tutoring knowledge
Multimedia Component containing multimedia
modules used for teaching various concepts
Student Modeling Component used for modeling
the student
Module for Processing the information received
through the transducers
A Transducer
An electro mechanical device ( pressure
sensor) that converts one type of energy
or physical attribute to another for various
purposes such as measurement or
information transfer.
Affective Tutoring Systems
Measure students’
emotional state


By analyzing facial
expressions, voice
tone, heartbeat and
other bio signals
Develop facial
expression analysis
Information is fed into a
computer
Affective Tutoring Systems
Measure students’ knowledge state
by
detecting students’ correct and incorrect
responses to specific constraints.
How the System Works
ATS Tutor in Action
1. Showing no expression
2. Smiling
3. Speaking and pointing at the math problem
Institute of Information and
Mathematical Sciences
Project Leader
Hossein Sarrafzadeh
(Institute of Information
and Mathematical
Sciences)

Massey University
 University of South
Dakota, USA
 The University of
Auckland, New Zealand
 Auckland University of
Technology, New
Zealand
 Cantebury University
Intelligent Computer
Current and Projected Use
of the Technology

E-instruction and E-learning
Artificial Intelligence
 Security
 Sales and Services.

Cost
Cost has not yet
been established
Availability,
Vendor or producer
information
This product is currently
in the developmental
phase. It does not have a
vendor, and it is not yet
available for sale.
Specialized Equipment


Computer (facial expression and gesture
analysis)
Software with Transducer
Type of Control

Since this product is not on the market,
a type of control has not yet been
established
Adaptability

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
Level of
Interactivity
(Highly
interactive)
Applies artificial intelligence
Unique ability to adapt to

individual student’s facial
expression, gesture, and
knowledge base
Respond to students
responses to specific
constraints
Give appropriate feedback
to the students.




techniques to computerassisted instruction
Individualized instruction
Interacts with each student
according to specific need.
Gives feedback to students’
responses
Use emotional features to tutor
students when necessary.
Educational Applications of the
Technology
Always available, non-judgmental
 Provide tailored feedback for individual
students
 Result in increased self esteem
 Perfect for students categorized as
Educable Behavior Disordered (EBD)

Personal Adaptation
Computer Lab students
 Math Centers


Groups of students may practice on the
computer by rotating from center to center
until all students have practiced at the
computer station.
References


Alexander, S. (2006, March 7). The next generation of intelligent
tutoring systems. Retrieved April 28, 2008, from
http://iims.massey.ac.nz/research/ngits
(Transducers, 2008). Transducers
http://www.ask.com/pictures?q=transducers&qsrc=2072&o=0&l=dir