Recommendation of Instructional Video Clips for HTML Learners Based on the ID3 Algorithm

Ting Chia Hsu, Kai Zhong Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study proposes a recommendation system for video clips based on the ID3 algorithm. The system was developed using the Python programming language. There were totally seven videos instructing how to design a webpage. The videos were micro lectures, so the length of each was only 10 minutes for each learning unit. When the system diagnoses the prior knowledge of the students, the recommendation system will decide the starting learning node for the individual students. The system was used in remedial instruction of webpage design. The system checked which individual students weaknesses required strengthening after one round of self-learning. The results showed that the remedial instruction recommended by the system was successful enough to significantly improve the students learning effectiveness. The results indicated that the self-efficacy of the low-achievement students achieved a level as high as that of the high-achievement students after the students employed the proposed approach to enhancing their webpage design learning and received the required learning videos. Because the low-achievement students received more remedial instruction learning materials, they had higher external cognitive loads. However, because the difficulty level of the learning materials which were recommended to the individuals conformed to their prior knowledge, the internal cognitive loads of the high-achievement students were not significantly different from those of the low-achievement students.

Original languageEnglish
Title of host publicationProceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017
EditorsKiyota Hashimoto, Naoki Fukuta, Tokuro Matsuo, Sachio Hirokawa, Masao Mori, Masao Mori
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages629-632
Number of pages4
ISBN (Electronic)9781538606216
DOIs
Publication statusPublished - 2017 Nov 15
Event6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017 - Hamamatsu, Shizuoka, Japan
Duration: 2017 Jul 9 → …

Publication series

NameProceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017

Conference

Conference6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017
CountryJapan
CityHamamatsu, Shizuoka
Period17/7/9 → …

Keywords

  • Cognitive load
  • ID3 algorithm
  • Recommendation system
  • Remedial instruction
  • Self-efficacy

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management

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  • Cite this

    Hsu, T. C., & Zhou, K. Z. (2017). Recommendation of Instructional Video Clips for HTML Learners Based on the ID3 Algorithm. In K. Hashimoto, N. Fukuta, T. Matsuo, S. Hirokawa, M. Mori, & M. Mori (Eds.), Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017 (pp. 629-632). [8113321] (Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IIAI-AAI.2017.84