internet education; blended learning; online learning

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Doi: 10.13966 / j.carol carroll nki kfjyyj. 2024.02.012 Masoumi, D., & Noroozi, O. (2023). Developing early career teachers’ professional digital competence: a systematic literature review. European Journal of Teacher Education, 46(4), 467-492. Doi: https://doi.org/10.1080/02619768.2023.2229006 Muller, C., & Mildenberger, T. (2021). Facilitating flexible learning by replacing classroom time with an online learning environment: A systematic review of blended learning in higher education. Educational Research Review, 100394. Doi: https://doi.org/10.1016/j.edurev.2021.100394 Puspaningtyas, N. D. & Marchamah Ulfa. (2021). IMPROVING STUDENTS LEARNING OUTCOMES IN BLENDED LEARNING THROUGH THE USE OF ANIMATED VIDEO. Kalamatika: Jurnal Pendidikan Matematika, 133-142. Doi: https://doi.org/10.22236/kalamatika.vol5no2.2020pp133-142 Rafiola, R. H., Setyosari, P., Radjah, C. L., & Ramli, M. (2020). The Effect of Learning Motivation, Self-Efficacy, and Blended Learning on Students’ Achievement in The Industrial Revolution 4.0. International Journal of Emerging Technologies in Learning (iJET), 71. Doi: https://doi.org/10.3991/ijet.v15i08.12525 Vallee, A., Blacher, J., Cariou, A., & Sorbets, E. (2019). Blended Learning Compared to Traditional Learning in Medical Education: Systematic Review and Meta-Analysis. Journal of Medical Internet Research, 22(8), E16504. Doi: https://doi.org/10.2196/16504 Wang Heng, Ji Yangdan, Chen Lin & Shuai Guangping. (2024). Effect of mixed teaching model on student learning effect in pharmacology theory Course, Science, Education and Culture Collection (05), 103-106.Doi: 10.16871 / j.carol carroll nki KJWH. 2024.05.025 Wang Wan Qin, & Wang Pengjiao. (2024). Study of the effects of peer assistance on learners’ self-regulatory learning in mixed learning. China Information Technology Education, (08), 63–67. Doi: http://kns.cnki.net.https.gzlib.proxy.chaoxing.com Wang Xianchao, Zhang Yong, Wang Honghai, & Wang Zhanfeng. (2024). Study on the influencing factors of academic performance of computer major courses in mixed learning. Journal of Xinzhou Normal University, 40 (02),119–123.Doi: http://kns.cnki.net.https.gzlib.proxy.chaoxing.com Xie Bohong, Zhang Guojun, Sun Aiping, Zhao Tiesuo, Yang Zishan, Xu Zhishan, & Song Xiangfeng. (2024). Analysis of the factors influencing students’ subject performance under the mixed teaching mode- -taking the medical immunology course as an example. The Chinese Journal of Immunology (40),828-831. Doi: http://kns.cnki.net.https.gzlib.proxy.chaoxing.com Xu Zhihong, Zhang Wei, & Huang Ruiyan. (2024). The influence of mixed teaching acceptance willingness on deep learning: the chain mediation role of perceptual behavior control and learning input. The Journal of Shangqiu Normal University,40(04), 88–93. Doi: http://kns.cnki.net.https.gzlib.proxy.chaoxing.com Yan Junbao, Zhao Hong’en, Niu Xiaoyan, Chen Ge & Zhang Mingxiao. (2024). Research and analysis of the offline and online mixed teaching situation of physiology in higher vocational colleges —— Take Luoyang College of Vocational and Technical as an example. Learning Weekly (13), 54-57. Doi: 10.16657 / j.carol carroll nki issn1673-9132.2024.13.014 Yong Zheng. (2024) Investigating influential factors in group learning: personality traits, COVID-19 lockdowns and back-to-school policies. Discover Education 3:1.Crossref. Doi: https://doi.org/10.1080/14703297.2023.2227616 Yulianti, T., & Sulistiyawati, A. (2020). The Blended Learning for Student’s Character Building. Proceedings of the International Conference on Progressive Education (ICOPE 2019). Presented at the International Conference on Progressive Education (ICOPE 2019), Lampung, Indonesia. Doi: https://doi.org/10.2991/assehr.k.200323.089