User Modeling and User-Adapted Interaction
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
ICALT '08 Proceedings of the 2008 Eighth IEEE International Conference on Advanced Learning Technologies
Tailoring of Feedback in Web-Based Learning: The Role of Response Certitude in the Assessment
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
Adaptation of Elaborated Feedback in e-Learning
AH '08 Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
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Providing a student with feedback that is timely, most suitable and useful for her personality and the performed task is a challenging problem of online assessment within Web-based Learning Systems (WBLSs). In our recent work we suggested a general approach of feedback adaptation in WBLS and through a series of experiments we demonstrated the possibilities of tailoring the feedback that is presented to a student as a result of her response to questions of an online test, taking into account the individual learning styles (LS), certitude in a response and correctness of this response. In this paper we present the result of the most recent experimental field study where we tested two feedback adaptation strategies in real student assessment settings (73 students had to answer 15 multiple-choice questions for passing the midterm exam). The first strategy is based on the correctness and certitude of the response, while the second strategy takes student LS into account as well. The analysis of assessment results and students' behaviour demonstrate that both strategies perform reasonably well, yet the analysis also provide some evidence that the second strategy does a better job.