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ERIC Number: EJ1142501
Record Type: Journal
Publication Date: 2017-Jun
Pages: 24
Abstractor: As Provided
ISSN: EISSN-1305-8223
Designing and Developing a Novel Hybrid Adaptive Learning Path Recommendation System (ALPRS) for Gamification Mathematics Geometry Course
Su, Chung-Ho
EURASIA Journal of Mathematics, Science & Technology Education, v13 n6 p2275-2298 Jun 2017
Since recommendation systems possess the advantage of adaptive recommendation, they have gradually been applied to e-learning systems to recommend subsequent learning content for learners. However, problems exist in current learning recommender systems available to students in that they are often general learning content and unable to offer personalized service. To overcome this, in the context of a learning style based on an Interpretive Structural Model (ISM), an adaptive learning path recommendation system is proposed comprising: (a) Fuzzy Delphi Method, (b) Fuzzy ISM; and (c) Kelly Repertory Grid Technology. The results show that the learning outcome with ALPRS is better than those from general learning course guided recommendation mechanisms, and the scores of system satisfaction with ALPRS and personal service are higher than 90%. Results of recall (95%), precision (68%), F1 index (45%) and MAE (8%) prove that ALPRS outperforms other approaches. Finally, three contributions are offered in this study: (1) a novel hybrid ALPRS is proposed and its practicability is tested; (2) a prototype gamification geometry-teaching material module is developed for the promotion in MSTE (Mathematics, Science and Technology Education) areas; and (3) the adaptive geometry-learning path diagram generated with ISM based on learning styles could offer a basis for further studies.
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A