Title: Evaluation method of online and offline interaction effect of university education in the perspective of MOOC

Authors: Song Bai

Addresses: Institute of History and Culture, Jilin Normal University, Si'ping, 136000, China

Abstract: The conventional evaluation process of online and offline interaction effects is not ideal in terms of evaluation accuracy. Aiming at this problem, a new evaluation method of interaction effects is designed from the perspective of MOOC. Firstly, an initial indicator system is established with the constraints of systematicness, standardisation, rationality and quantifiability of indicators. Then, standardise the indicators, and introduce the principal component analysis method to optimise the indicator system, to improve the evaluation accuracy by improving the rationality of the indicator system. Finally, based on the perfect indicators, an evaluation model including four points is constructed to achieve efficient evaluation. Through experiments, it is found that this method can improve the accuracy of the obtained results to more than 0.97, which can improve the students' scores to more than 92 points, indicating that this method is feasible and effective.

Keywords: higher education; online and offline interaction; interaction effect; principal component analysis.

DOI: 10.1504/IJISD.2025.149104

International Journal of Innovation and Sustainable Development, 2025 Vol.19 No.5/6, pp.606 - 618

Received: 30 Jan 2023
Accepted: 21 Apr 2023
Published online: 14 Oct 2025 *

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