User Modeling in Human–Computer Interaction
User Modeling and User-Adapted Interaction
One Exercise --- Various Tutorial Strategies
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
Representation for Interactive Exercises
Calculemus '09/MKM '09 Proceedings of the 16th Symposium, 8th International Conference. Held as Part of CICM '09 on Intelligent Computer Mathematics
Using local and global self-evaluations to predict students’ problem solving behaviour
EC-TEL'12 Proceedings of the 7th European conference on Technology Enhanced Learning
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This paper investigates students' behavioral patterns within web-based multi-trial error-correction-tasks. By analyzing logfiles and considering students' initial perception of competence, we contribute to micro- as well as macro-adaption. We describe and visualize task processing data of 159 students, considering performance as well as attempts to solve a task. Taking preceeding behavior into account, it was possible to identify (maladaptive) behavioral patterns. Furthermore we compare the behavior of students with low vs. high perceptions of competence subsequent to a failure. In line with research regarding the influence of self-concept on performance and motivation, our findings suggest that students with a low perception of competence perform poorer and tend to skip trials more often after a failure, indicating motivational losses. Further research should build upon this study to enhance technology-based learning by designing learning environments and adaption strategies that take student behavior and prerequisites into account.