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WorldCist'17 - 5th World Conference on Information Systems and Technologies

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Ordering and Visualization of Recommendations

Delivering of automated personalized assistance to students is becoming an integral part of nearly all recently developed learning systems. While the goal is the same most of the time, i.e. facilitating the cognitive process of acquiring skill and knowledge, the reasoning methods supporting choices of appropriate study materials vary considerably. Quite often gathering personal data is a prerequisite for providing tailored assistance. Security concerned users however are unwilling to submit personal data via unknown channels and therefore cannot have the benefits of such aids in teaching. An approach based on students perceptions but not requiring personal data is in the center of this work. Ordered sets and concept lattices are used for ranking and visualizing of acquired results.

Author(s):

Sylvia Encheva    
Stord/Haugesund University College
Norway

 

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