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ERIC Number: EJ1232492
Record Type: Journal
Publication Date: 2020
Pages: 29
Abstractor: As Provided
ISSN: ISSN-1539-3100
Learning Path Recommendation System for Programming Education Based on Neural Networks
Saito, Tomohiro; Watanobe, Yutaka
International Journal of Distance Education Technologies, v18 n1 Article 3 p36-64 2020
Programming education has recently received increased attention due to growing demand for programming and information technology skills. However, a lack of teaching materials and human resources presents a major challenge to meeting this demand. One way to compensate for a shortage of trained teachers is to use machine learning techniques to assist learners. This article proposes a learning path recommendation system that applies a recurrent neural network to a learner's ability chart, which displays the learner's scores. In brief, a learning path is constructed from a learner's submission history using a trial-and-error process, and the learner's ability chart is used as an indicator of their current knowledge. An approach for constructing a learning path recommendation system using ability charts and its implementation based on a sequential prediction model and a recurrent neural network, are presented. Experimental evaluation is conducted with data from an e-learning system.
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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