Factors Influencing College Students’ Learning Intention to Online Teaching Videos During the Pandemic in China
Bibliographic Data
| ID | 16912677 |
|---|---|
| Authors | Yinhua Hao (0000-0003-1047-4640, Huangshan University), Xiangmin Zeng (Liaoning Normal University, corresponding author), Megat Al Imran Yasin (0000-0003-0065-9983, Universiti Putra Malaysia), Ng Boon Sims (0000-0002-1940-4801, Universiti Putra Malaysia), Ng Boon Sim |
| Year | 2024 |
| Volume | 14 |
| Issue | 3 |
| Publication date | 2024-07-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | SAGE Open (JOURNAL) |
| Journal identifiers | ISSN: 2158-2440 • E-ISSN: 2158-2440 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/21582440241256769 |
| OpenAlex | W4401050941 |
| Language | EN |
| Citations received | 1 |
| References cited | 39 |
To explore the influencing factors of college students’ learning intention to online teaching videos during the pandemic, this study considered 696 college students from Huangshan University in China. The T-test and ANOVA were utilized to analyze gender, grade, and discipline on college students’ learning intention, and the regression analysis was utilized to explore four aspects including performance expectancy, effort expectancy, social influence, and facilitating conditions on college students’ learning intention. The results indicate the following: first, using descriptive analysis, it is observed that college students did not exhibit a positive learning attitude toward online teaching videos during the pandemic. Second, the t test and one-way analysis of variance indicate that grades between freshmen and seniors significantly influence the learning intention of college students to online teaching videos, whereas genders and disciplines do not. Third, through regression analysis, it is observed that performance expectancy, effort expectancy, social influence, and facilitating conditions significantly influence college students’ learning intention to online teaching videos. This study stipulates the following research proposals: resource construction, the optimization of the online teaching environment, advanced technology and psychological counseling. It is expected that the findings will provide references for studies on online teaching resources and online learning
Descriptive statistics · Expectancy theory · Mathematics education · Medical education · Online Teaching · Pandemic · Regression analysis · Social influence · Applied Psychology · Computer Science · COVID-19 and Mental Health · Online and Blended Learning · Psychology · Social Psychology · Virtual Reality Applications and Impacts
Multimedia Learning
Effective Educational Videos
Instructional video in e-learning
User Acceptance of Information Technology
Consumer Acceptance and Use of Information Technology
Common Method Bias in PLS-SEM
The Use of Cronbach’s Alpha When Developing and Reporting Research Instruments in Science Education
Student engagement in online learning in Latin American higher education during the Covid‐19 pandemic
Little Jiffy, Mark Iv
Distance learning during the Covid-19 pandemic
The Impact of Covid-19 on Education
The Use of Smartphone Fitness Applications
Applying the science of learning
| Citations per year | 1 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |