IMPROVING AUTOMATED LEARNING IN MOBILE ENVIRONMENT

SAMARA, BANNO and YANYAN, YANG (2014) IMPROVING AUTOMATED LEARNING IN MOBILE ENVIRONMENT. In: Second International Conference on Advances in Computing, Electronics and Communication - ACEC 2014, 25 - 26 October 2014, Zurich, Switzerland.

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Abstract

The advance of mobile learning technologies has led to a new research issue in education, that is, the development of educational assessment with personalized learning system supports. In the meantime, it also becomes a challenging issue to evaluate the students learning achievement in mobile environment. In this paper, an integration of student modeling system with dynamic assessment strategy and context recommendations is proposed. This combination is able to guide the student to the proper level of performance by providing him with the necessary hints and learning material recommendations. The theoretical basis of dynamic assessment produce a proper mediation to help learners to apply some necessary principles to independently solve problems and thus learn more, plus provide more accurate individual knowledge estimation. Moreover, proper learning materials are suggested to the students to support their understanding and development of their knowledge level.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Mobile Learning, Dynamic Assessment, Student Modeling, Recommender System.
Depositing User: Mr. John Steve
Date Deposited: 30 May 2019 10:51
Last Modified: 30 May 2019 10:51
URI: http://publications.theired.org/id/eprint/3078

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