Adaptive Mechanisms in Virtual Education Environment
نویسندگان
چکیده
1 Radoslav Fasuga, [email protected] 2 Jana Sarmanova, [email protected] Abstract Knowledge mining process based on logs in virtual education systems is one from many techniques, which can help to receive information for automated adaptation – selection of study materials. Target of this Article is to describe possible ways of Automated Adaptation for walk-through study materials in virtual education environment. Article describes goals and weaknesses for several adaptive algorithms in opposite to manual modification of study materials. Algorithms respect Student Activity Protocol, Study Groups and Authors for finding best available adaptation. Benefit of this solution is to simplify user orientation in study materials and growing efficiency of their education.
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تاریخ انتشار 2007