MathDox Adaptive: adding user diagnosis and course adaptivity to the MathDox system
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Issue Date
2012-11-26
Language
en
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Abstract
This thesis reports on the MathDox Adaptive System, a prototype intelligent
tutor system based on existing MathDox software, designed to adaptively teach
math to high school students. MathDox Adaptive maps the missing skill of
each of its users by letting them take a diagnostic test. After the test, MathDox
Adaptive makes an e ort to teach the users their missing skills by providing
training courses. A training course contains training exercises along with hints
and background theory. The courses also adapt the diffi culty of their exercises
to the skill level of the user by actively measuring the progress of the user made
during the training and increasing or decreasing the diffi culty accordingly.
In order to obtain educational content for our prototype, we used knowledge
acquisition techniques to interview three experts in the field of teaching mathematics. We used the results of these interviews to generate the content of the
diagnostic test, training courses, hints and the background theory.
After the successful completion of the prototype, it was evaluated on user
satisfaction. A disappointing average satisfaction measurement of "slightly satisfied" was caused mainly due to the slow processing speed of the MathDox
system. After the evaluation we discuss how we can solve the problem of the
slow processing speed by changing the framework of the MathDox Adaptive
system from a XML based framework to a PHP based framework.
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Faculteit der Sociale Wetenschappen