Abstract
In this paper we show how the AHA! system was (modified and) used to create an adaptive course in which the course material is presented in three levels of difficulty. The aim of the experiment is to perform data mining in order to find good candidates for meaningful relations between reading times, difficulty levels and test results. We want to discover information between all the stored evaluation data and show a selection to the teacher so that he can carry out appropriated modifications in order to improve the course.
| Original language | English |
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| Title of host publication | Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2002 |
| Editors | M. Driscoll, T. Reeves |
| Place of Publication | Chesapeake, VA |
| Publisher | Association for the Advancement of Computing in Education |
| Pages | 2721-2722 |
| ISBN (Print) | 1-880094-46-0 |
| Publication status | Published - 2002 |