JOURNAL ARTICLE

Research on Network Teaching Collaboration Platform Using Flipped Classroom Teaching Mode.

  • Published In: Journal of Information & Knowledge Management, 2024, v. 23, n. 2. P. 1 1 of 3

  • Database: The Belt and Road Initiative Reference Source 2 of 3

  • Authored By: Zhao, Jing; Mao, Haitao; Mao, Panpan; Hao, Junyong; Mao, Meige 3 of 3

Abstract

The quick development of intelligent information technology in modern society has accelerated education informatisation. Accordingly, the traditional modes of instruction and methods of instruction are no longer able to satisfy the educational needs of modern society, so the flipped classroom teaching method emerges at the historic moment. While injecting fresh vitality into education, this model can also reflect good teaching effects, which is of enormous practical relevance to the development of education. Additionally, flipped classroom teaching is made possible by the online teaching resources offered by colleges and institutions. In view of the unreasonable distribution of curriculum resources in the current university network teaching platform, this study proposes a university network platform combining flipped classroom teaching mode and improved Apriori algorithm. First of all, to achieve the acceptable allocation and suggestion of learning materials in accordance with students' learning demands, the Apriori algorithm is introduced to address the university network teaching platform's lack of adequate planning and organisation. After that, the flipped classroom teaching mode is introduced into the online teaching platform for empirical research. According to the trial findings, more than 90.22 % of the students had improved their study habits. The network teaching platform proposed by the research institute can stimulate college students' learning interest and improve their learning ability to a certain extent. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Information & Knowledge Management. 2024/04, Vol. 23, Issue 2, p1
  • Document Type:Article
  • Subject Area:Education
  • Publication Date:2024
  • ISSN:0219-6492
  • DOI:10.1142/S0219649224500151
  • Accession Number:177204728
  • Copyright Statement:Copyright of Journal of Information & Knowledge Management is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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