Abstract

With the deep integration of the Internet and education, new educational models, such as micro classrooms, large-scale open online courses, and flipped classrooms have gradually appeared. In the information age, online learning has become popular in most countries all over the world, especially in the face of public crises such as the COVID-19 pandemic. Online learning can effectively connect teachers and students through the Internet. However, the low participation and low cognitive level of e-learning also affect the quality of e-learning, which depends largely on the learning investment of students. Based on self-efficacy theory and exploratory community theory, this paper puts forward the hypothesis that students’ e-learning investment affects learning completion and tests the mediating effect of incorporating self-efficacy into students’ e-learning investment on learning completion. The results show that the Cronbach’s α coefficient is 0.968, which has high reliability. KMO value is 0.880, indicating that data information can be extracted effectively. The three aspects of students’ e-learning input (behavioral investment, cognitive input, and emotional input) constructed in this paper can significantly improve the learning completion level of students. The results of this study have positive value for understanding the advantages and disadvantages of e-learning, promoting the reform of e-learning methods in universities, and implementing e-learning strategies for students familiar with different e-learning years.

Highlights

  • With the advent of the information age, online learning has become popular in most countries all over the world, especially in the face of public crises, such as the COVID19 pandemic

  • H4: Self-efficacy plays an intermediary role in the significant positive effect of online learning investment on students’ learning completion

  • The endless network learning platforms and resources ensure the normal learning of students, while greatly promoting the informatization and modernization of education

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Summary

Introduction

With the advent of the information age, online learning has become popular in most countries all over the world, especially in the face of public crises, such as the COVID19 pandemic. Online learning can effectively connect teachers and students through the Internet. These platforms have become important learning channels for learners. The methods for effectively promoting learning completion and improving learning performance has attracted increasing attention in the academic community. The research on how to promote the efficient transformation of online learning investment into learning effect has become a hotspot in the field of online education. With the development of learning analysis and big data technology in recent years, the related research on learning input evaluation in online education has grown rapidly, and has been developing towards the direction of in-depth evaluation. Through the evaluation of emotional and cognitive investment, evaluation through physiological sensor data analysis and computer vision data analysis has become a potential channel to further explore the relationship between students’ online learning investment and learning completion. This study reviews the relevant literature on online learning investment at home and abroad and analyzes and discusses the methods of evaluating online learning investment, to provide a theoretical basis for the evaluation operation of online learning investment

Basic theory
Hypothesis proposal
Questionnaire design
Research object
Reliability and validity analysis
Regression analysis
Mediating effect analysis
Variance test and T-test
Conclusions
Findings
Author
Full Text
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