Research on the Influencing Factors of Intelligent Education "Internet + MOOCs" on Flipped Classroom in Universities
DOI: 10.23977/aduhe.2023.050818 | Downloads: 11 | Views: 508
Author(s)
Xiaochen Zhao 1
Affiliation(s)
1 School of Journalism and Communication, Nanchang University, Nanchang, China
Corresponding Author
Xiaochen ZhaoABSTRACT
The frequent occurrence of the COVID-19 has brought new challenges to college teaching, while the teaching form of "Internet + MOOCs" of intelligent education has brought about a turnaround for higher education. This paper takes the flipped classroom in universities as the research object, and studies the influencing factors of the "Internet + MOOCs" of intelligent education on the flipped classroom in universities, which has certain practical significance in promoting the "Internet +MOOCs" teaching form of intelligent education to help the development of universities. By systematically defining the factors that affect the flipped classroom teaching effect of intelligent education "Internet + MOOCs", based on the sample data collected from the questionnaire survey, and using structural equation model, this paper constructs an indicator hypothesis model of four potential variables of intelligent education "Internet + MOOCs", namely, teaching content, teaching resources, teaching technology and teaching attitude, and their corresponding observation variables. The study found that the four influencing factors have a positive impact on the teaching effect of flipped classroom in universities, and from the perspective of the total effect of the path, the influence on the teaching effect of flipped classroom in universities from the largest to the smallest is teaching technology, teaching attitude, teaching content and teaching resources. The research provides micro evidence for the development of flipped classroom in universities, and also brings some enlightenment for the progress of the combination of the teaching form of "Internet + MOOCs" and the flipped classroom education mode of intelligent education.
KEYWORDS
Intelligent education, Internet + MOOCs, flipped classroom, higher educationCITE THIS PAPER
Xiaochen Zhao, Research on the Influencing Factors of Intelligent Education "Internet + MOOCs" on Flipped Classroom in Universities. Adult and Higher Education (2023) Vol. 5: 129-138. DOI: http://dx.doi.org/10.23977/aduhe.2023.050818.
REFERENCES
[1] Li Y, Zhao W H, Xue C Y, (2018) "Research on the Relationship between Entrepreneurial Orientation, Social Network and Knowledge Resources Acquisition: Signaling Theory Perspective". Science of Science and Management of S. & T., vol.39, No. 2, 130-141.
[2] Liu Z C, Wang J, Huang Y W. (2023). “Multidimensional Interaction, Virtual Resources and Internet Entrepreneurship: Micro-empirical Analysis Based on Modian Crowdfunding”. Journal of Management Engineering, vol. 37, No.35. 65–75.
[3] Kyung L M, Kyung P B. (2018) Effects of Flipped Learning Using Online Materials in a Surgical Nursing Practicum: A Pilot Stratified Group-Randomized Trial. Healthcare Informatics Research, 24(1):69-78.
[4] Milman N.B. (2012). The Flipped Classroom Strategy: What is it and How Can it Best be Used? Distance Learning, 9(3), 85.
[5] Tse W S, Lai Y, Tang W S. (2019) Effects of Video-Based Flipped Class Instruction on 50 Subject Reading Motivation. British Journal of Educational Technology, 385-398.
[6] Lee G, Wallace A. (2018) Flipped Learning in the English as a Foreign Language Classroom: Outcomes and Perceptions. TESOL Quarterly, 52.
[7] Bergmann J, Sam S. A. (2012) Flip Your Classroom: Reach Every Student in Every Class Every Day. Washington, D.C.: International Society for Technology in Education.
[8] Maureen J. Lage, Glenn J. Platt, Michael Treglia. (2000) Inverting the Classroom: A Gateway to Creating an Inclusive Learning Environment. The Journal of Economic Education, 31(1):30-43.
[9] Min KK, Kim SM, Khera O., et al. (2014) The Experience of Three Flipped Classrooms in an Urban University: an Exploration of Design Principles. Internet & Higher Education, 22(03):37-50.
[10] Neuendorf, K. A. (2002) The Content Analysis Guidebook. Thousand Oaks. CA: Sage.
Downloads: | 14569 |
---|---|
Visits: | 556525 |