Teaching Behavior Profiles of Higher Vocational Teachers in Blended Environments and Their Impact on Students' Course Satisfaction: A Latent Profile Analysis
DOI: https://doi.org/10.62517/jhve.202516307
Author(s)
Yue Tian, Xiage Liu*, Xin Yao
Affiliation(s)
Xianyang Polytechnic Institute, Xi’an, Shaanxi, China
*Corresponding Author
Abstract
Blended learning is a concrete practice that is instrumental in the digital transformation of education. This practice is characterized by autonomy and ubiquity, and it serves as a key pathway to promoting high-quality development in vocational education. A cross-sectional analysis of teaching behaviors reveals that blended learning centers on the frequency of teacher-student interaction, categorized into general interaction, low interaction, and active interaction. Furthermore, the blended learning semester plan and the duration of online and offline learning have been demonstrated to influence course satisfaction. In order to enhance the quality of blended learning in vocational education, it is essential to make efforts to strengthen teacher-student interaction and improve student course satisfaction.
Keywords
Vocational Higher Vocational Teachers; Blended Learning; Teaching Behavior; Course Satisfaction
References
[1]Ma Jing, Zhou Qian. A Study on Teaching Behavior and Its Influencing Factors in a Hybrid Learning Environment in Higher Education Institutions. Journal of the National Institute of Educational Administration, 2019, (04): 79-87, 95.
[2]Liu Ling, Wang Qiong. A Study on the Characteristics and Influencing Factors of Student Learning Engagement in a Blended Learning Model. Modern Educational Technology, 2021, 31(11): 80-86.
[3]Deng Fei, Deng Xue, Han Dandan. Challenges and Countermeasures in Cultivating Digital Learning Abilities Among Vocational College Students. Vocational and Technical Education, 2023, 44 (20): 47-51.
[4]Anderson T, Rourke L, Garrison R, et al. Assessing Teaching Presence in a Computer Conferencing Context. Online Learning, 2019. http://dx.doi.org/10.24059/olj.v5i2.1875. DOI: 10.24059/olj.v5i2.1875.
[5]Lan Guoshuai. Exploring Community Theory Models: Research Paradigms for Online and Blended Learning. Open Education Research, 2018, 24 (01): 29-40.
[6]Li Baomin, Yu Qing, Yang Fenglei. The Impact of Blended Learning on Student Learning Outcomes: A Meta-Analysis of 106 Empirical Studies from China and Abroad. Open Education Research, 2022 (1): 75-84.
[7]Sha Jingrong, Kan Zhaocao, Li Wei. An Empirical Study on the Effect of Teacher Support Strategies in Blended Learning on Improving College Students' Learning Engagement Levels. Chinese Educational Technology, 2020 (08): 127-133.
[8]Liu Feifei. Analysis of the Implementation Status and Influencing Factors of Blended Learning in Higher Vocational Colleges and Universities: Based on Data Analysis from the Comprehensive Online Teaching Platform of X College. Vocational and Technical Education, 2019, 40(26): 43-47.
[9]Yan Zhehai, Tao Yun, Shu Jie. A Study on the Evaluation of the Effectiveness of Blended Learning from the Perspective of Teachers and Students in Vocational Colleges. Vocational Education Forum, 2024, 40(08): 48-55.
[10]Yu Yuefan, Yang Xianmin, Zhou Xiaoyun. The Impact of Blended Learning in Vocational Education on Learning Outcomes: A Meta-Analysis of 36 Experimental and Quasi-Experimental Studies from China and Abroad. Vocational and Technical Education, 2023, 44 (08): 47-54.
[11]Ma Jing. A Study on the Mechanism of College Students' Learning Engagement in a Blended Learning Environment: A Perspective on Teaching Behavior. Chinese Distance Education, 2020, (02): 57-67.
[12]Wu Ying. The Impact of Teachers' Teaching Behaviors on Vocational College Students' Learning Engagement in a Blended Learning Model. Jiangxi Agricultural University, 2024. DOI: 10.27177/d.cnki.gjxnu.2024.000089.
[13]Zhou Yulu. A Study on the Learning Outcomes of Undergraduate Professional Courses under a Blended Learning Model. East China Normal University, 2023. DOI: 10.27149/d.cnki.ghdsu.2023.003645.
[14]Zhou Hao, Long Lirong. Statistical testing and control methods for common method bias. Advances in Psychological Science, 2004(6):942-950.
[15]Lubke G, Muthén B O. Performance of factor mixture models as a function of model size, covariate effects, and class-specific parameters. Structural Equation Modeling, 2007, 14(1): 26-47.
[16]Ye Zi, Pang Lijuan. The Essence and Characteristics of Teacher-Student Interaction. Educational Research, 2001 (4): 30-34.