Algorithm visualization in CS education: comparing levels of student engagement
Proceedings of the 2003 ACM symposium on Software visualization
Multi-Agent Multi-User Modeling in I-Help
User Modeling and User-Adapted Interaction
AETA: Algorithm Explanation Teaching Agent
ITNG '07 Proceedings of the International Conference on Information Technology
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Studying and understanding algorithms is important for all computer scientists. Knowledge gained from these practices allows us to design and implement logically correct programs with considerations to runtime and memory constraints. For many students, learning algorithms in a traditional manner (i.e. using text-books) is challenging. We have developed an alternative approach to teaching algorithms called the Structured Hypermedia Algorithm Explanation (SHALEX) system, which uses hypermedia and represents algorithms as an abstract tree structure. Although SHALEX is a fully functioning teaching tool, currently it does not provide a way of receiving feedback on student's progress. To address this problem, this paper extends SHALEX with intelligent agent to monitor student progress, to provide the student with hints where necessary and to record the results of student interaction, all of which provide a means of quantifying the level of understanding the student has achieved.