Open Access

Research on the Design and Application of Online Learning Activities for Chinese-foreign Cooperative Universities under the Perspective of Deep Learning

 and    | Jan 31, 2024

Cite

Dai, Y. (2018). Aligning for transformational cross-border partnership: a case of sino-u.s. university partnership. Journal of Studies in International Education, 23(5), 102831531879716. Search in Google Scholar

Zhan, S. (2017). The reconstruction strategy “internet+” from the perspective of education. International Journal of Technology, Management. Search in Google Scholar

Sugden, N., Brunton, R., Macdonald, J., Yeo, M., & Hicks, B. (2021). Evaluating student engagement and deep learning in interactive online psychology learning activities. Australasian Journal of Educational Technology(2). Search in Google Scholar

Elia, G., Solazzo, G., Lorenzo, G., & Passiante, G. (2018). Assessing learners’ satisfaction in collaborative online courses through a big data approach. Computers in Human Behavior, 92(MAR.), 589-599. Search in Google Scholar

Chaker, R., Bouchet, F., & Bachelet, R. (2022). How do online learning intentions lead to learning outcomes? the mediating effect of the autotelic dimension of flow in a mooc. Computers in human behavior. Search in Google Scholar

Dini, L. D. E. (2021). Dynamics of scientific engagement in a blended online learning environment. Research in science education, 51(2). Search in Google Scholar

Mooij, S. M. M. D., Dumontheil, I., Kirkham, N. Z., Raijmakers, M. E. J., & Maas, H. L. J. V. D. (2021). Post-error slowing: large scale study in an online learning environment for practising mathematics and language. Developmental Science. Search in Google Scholar

Liu, H., & Song, X. (2020). Exploring “flow” in young chinese efl learners’ online activities. System, 102425. Search in Google Scholar

Soffer, T., & Cohen, A. (2019). Students’ engagement characteristics predict success and completion of online courses. Journal of Computer Assisted Learning, 35(3), 378-389. Search in Google Scholar

Wang, F. H. (2017). An exploration of online behaviour engagement and achievement in flipped classroom supported by learning management system. Computers & Education, 114(nov.), 79-91. Search in Google Scholar

Wu, S., Zhou, S., Huang, M., & Chen, W. (2020). Employment prospects of graduates from sino-foreign cooperative universities in china. Journal of Studies in International Education(6), 102831532095743. Search in Google Scholar

Fitzpatrick, I., & Trninic, M. (2023). Dismantling barriers to digital inclusion: an online learning model for young people with intellectual disabilities. British journal of learning disabilities. Search in Google Scholar

Zheng, B., Lin, C. H., & Kwon, J. B. (2020). The impact of learner-, instructor-, and course-level factors on online learning. Computers & Education, 150, 103851. Search in Google Scholar

Chen, C. M., Li, M. C., & Huang, Y. L. (2020). Developing an instant semantic analysis and feedback system to facilitate learning performance of online discussion. Interactive Learning Environments, 31, 1402 - 1420. Search in Google Scholar

Lee, J. Y., & Park, S. (2017). Analysis of critical success factors of online international learning exchange of korean school pupils with english‐speaking counterparts. British Journal of Educational Technology. Search in Google Scholar

Doucette, D., Cwik, S., & Singh, C. (2021). “everyone is new to this”: student reflections on different aspects of online learning. American Journal of Physics, 89(11), 1042-1047. Search in Google Scholar

Al Mamun, M. A., Lawrie, G., & Wright, T. (2022). Exploration of learner-content interactions and learning approaches: the role of guided inquiry in the self-directed online environments. Computers & education(Mar.), 178. Search in Google Scholar

Sameshima, N., & Akamatsu, R. (2023). A cluster analysis of japanese consumer perceptions concerning information about the safety of food products. Food Control. Search in Google Scholar

Rezaee, M. J., Eshkevari, M., Saberi, M., & Hussain, O. (2021). Gbk-means clustering algorithm: an improvement to the k-means algorithm based on the bargaining game. Knowledge-Based Systems, 213. Search in Google Scholar

eISSN:
2444-8656
Language:
English
Publication timeframe:
Volume Open
Journal Subjects:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics