An Instructive Video Locating System for Hybrid Teaching with MOOC

Tian Song*, Mengdie Li, Wentian Zhao

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The rapid growth of Massive Open Online Courses (MOOCs) has revolutionized the education landscape by providing accessible and flexible learning opportunities. However, with the emergence of hybrid learning models, how to integrate MOOC into traditional classroom environments and effectively utilize MOOC video content in face-to-face teaching has become a current challenge. To solve this problem, we propose an instructive video locating system for MOOC hybrid teaching. The system analyzes teacher instructions and leverages technologies such as speech recognition, text segmentation, and natural language processing to easily locate relevant video clips in MOOC courses, enhancing the blended teaching experience. We conducted experiments using educational videos in MOOC online courses. The results show that the system can accurately locate video clips based on text queries. Compared with manual searches, the accuracy rate exceeds 85%, which significantly improves the efficiency of merging and supplementing multimedia content. The video locating system proposed in this article seamlessly integrates MOOC resources into the physical classroom through intelligent information retrieval, which not only enhances teaching flexibility and enriches hybrid teaching, but also lowers the technical threshold for teachers to use video assistance. This innovative application has great potential to promote the development and application of hybrid learning models in the education field.

源语言英语
主期刊名Computer Science and Education. Teaching and Curriculum - 18th International Conference, ICCSE 2023, Proceedings
编辑Wenxing Hong, Geetha Kanaparan
出版商Springer Science and Business Media Deutschland GmbH
336-346
页数11
ISBN(印刷版)9789819707904
DOI
出版状态已出版 - 2024
活动18th International Conference on Computer Science and Education, ICCSE 2023 - Sepang, 马来西亚
期限: 1 12月 20237 12月 2023

出版系列

姓名Communications in Computer and Information Science
2024 CCIS
ISSN(印刷版)1865-0929
ISSN(电子版)1865-0937

会议

会议18th International Conference on Computer Science and Education, ICCSE 2023
国家/地区马来西亚
Sepang
时期1/12/237/12/23

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引用此

Song, T., Li, M., & Zhao, W. (2024). An Instructive Video Locating System for Hybrid Teaching with MOOC. 在 W. Hong, & G. Kanaparan (编辑), Computer Science and Education. Teaching and Curriculum - 18th International Conference, ICCSE 2023, Proceedings (页码 336-346). (Communications in Computer and Information Science; 卷 2024 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-97-0791-1_29