Behavior and Learning of Students Using Worked-Out Examples in a Tutoring System
Worked-out examples have been shown to increase learning gains over problem solving alone. These increases are even greater in novices and those who are learning algorithmic topics, such as those in Computer Science. We have integrated this strategy into our Intelligent Tutoring System and evaluated it on undergraduate students learning the linked list data structure. Although promising, we have identified behavioral differences between high and low gainers - spending less time on an example, and prematurely quitting them led to greater learning.
KeywordsIntelligent Tutoring Systems Worked-out examples
This publication was made possible by NPRP grant 5-939-1-155 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.
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