Dynamic student assessment to advocate personalized learning plan

Ahad Sofian, Shminan and Mohd Kamal, M.K. (2016) Dynamic student assessment to advocate personalized learning plan. In: 2015 International Conference on Information Technology Systems and Innovation, ICITSI 2015, 16 - 19 November 2015, Bandung, Bali Indonesia.

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A central challenge in education is to match instruction to the characteristics and learning styles of students in order to optimize learning. In this article, we intend to outline our approach to supporting personalized learning strategies by constructing dynamical student profiling using ubiquitous computing capability. This profiling includes recorded data on students' affective responses to learning to discern students' level of motivation and details from generic student profiles to describe and predict student learning patterns. Learning pattern data analysis derives conclusions using decision trees. Through this process, information can be extracted from students' affective responses and students' profile data and relevant correlations between the two data sets can be recognized automatically. A personalized learning component uses this information to offer proactive support to students. This is achieved by recommending personalized courses of action which are beneficial to students. Our proposed model has been tested in a classroom simulation. Issues of sample limitations and promising directions for future research are elaborated towards the end of this paper.

Item Type: Proceeding (Paper)
Uncontrolled Keywords: decision tree; machine learning; personalized learning; student profiling, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak
Subjects: L Education > LB Theory and practice of education
Divisions: Academic Faculties, Institutes and Centres > Faculty of Cognitive Sciences and Human Development
Depositing User: Karen Kornalius
Date Deposited: 24 Jun 2016 01:50
Last Modified: 23 Aug 2022 00:33
URI: http://ir.unimas.my/id/eprint/12505

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