Search results for author:"S Graf"
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Journal of Computer Assisted Learning Vol. 26, No. 2 (April 2010) pp. 116–131
Providing adaptive features and personalized support by considering students' learning styles in computer-assisted learning systems has high potential in making learning easier for students in terms of reducing their efforts or increasing their...
IEEE Transactions on Learning Technologies Vol. 4, No. 1 (2011) pp. 35–46
This study presents a conceptual framework for providing intelligent supports through agent negotiation and fuzzy constraints to enhance the effectiveness of peer assessment. By using fuzzy constraints, it not only provides a flexible marking scheme ...