Abstract
Recently, millions of persons research e-learning which has important social significance and extensive application background. E-learning influences the global higher education significantly. Based on the applied superiority of MOOC (the chief kind of e-learning), the main research aim of this paper is to provide effective learning strategy and to increase the engagement and the learning effect in e-learning. This paper utilizes the acquired big data during e-learning to analyze three dimensions of teacher-support and five dimensions of learners’ learning engagement in detail. An effective model is proposed to analyze the relation between teacher-support and learning engagement. Based on the acquired big data, the mean, variance, correlation coefficient and other datum are analyzed to compare teacher-support and learning engagement in the effective model, all path coefficients of the result achieve significant level: p > 0.05. This paper proposes improved recommendations and supplies effective learning strategies.
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References
Kong, S.C., Looi, C.K., Chan, T.W., Huang, R.: Teacher development in Singapore, Hong Kong, Taiwan, and Beijing for e-Learning in school education. J. Comput. Educ. 4(1), 5–25 (2017)
Song, H., Kim, J., Luo, W.: Teacher-student relationship in online classes: a role of teacher self-disclosure. Comput. Hum. Behav. 54, 436–443 (2016)
Xing, W., Chen, X., Stein, J., Marcinkowski, M.: Temporal predication of dropouts in MOOCs: reaching the low hanging fruit through stacking generalization. Comput. Hum. Behav. 58, 119–129 (2017)
Astri, L.Y.: Barrier factors that influence satisfaction of e-learning: a literature study. Adv. Sci. Lett. 23(4), 3767–3771 (2017)
O’Donnell, E., Lawless, S., Sharp, M., Wade, V.P.: A review of personalised e-learning: towards supporting learner diversity. In: E-Learning and Knowledge Society. vol. 13, no. 1, pp. 23–34 (2015)
Yilmaz, R.: Exploring the role of e-learning readiness on student satisfaction and motivation in flipped classroom. Comput. Hum. Behav. 70, 251–260 (2017)
Fredricks, J.A., Blumenfeld, P.C., Paris, A.H.: School engagement: potential of the concept, state of the evidence. Rev Educ. Res. 74(1), 59–109 (2004)
Shea, P., Bidjerano, T.: Community of inquiry as a theoretical framework to foster “epistemic engagement” and “cognitive presence” in online education. Comput. Educ. 52(3), 543–553 (2009)
Elena, G., Felix, H., Miguel, M.: Enhancing e-learning through teacher support: two experiences. IEEE Trans. Educ. 52(1), 109–115 (2009)
Fryer, L.K., Bovee, H.N.: Supporting students’ motivation for e-learning: teachers matter on and offline. Int. High. Educ. 30, 21–29 (2016)
Zhong, S.H., Li, Y.H., Liu, Y., Wang, Z.Q.: A computational investigation of learning behaviors in MOOCs. Comput. Appl. Eng. Educ. 25(5), 693–705 (2017)
Emi, I., Ridwan, P.: Evaluating the quality of e-learning using consistent fuzzy preference relations method. In: 2016 6th International Conference on Frontiers of Information Technology (ICSET), pp. 61–66, Bandung (2016)
Diego, A.G.A., Roberto, T., Francisco, J. García, P.: Reveal the relationships among students participation and their outcomes on e-learning environments: case study. In: 2013 IEEE 13th Advanced Learning Technologies (ICALT), pp. 443–447, Beijing (2013)
Mitu, C.D.: Student-tutor Interaction in virtual communities-psycho-social approach. In: 2015 11th International Scientific Conference on eLearning and Software for Education (eLSE), pp. 241–244, Bucharest (2015)
Juan, C.B., Oriol, B.G., Francisco, J., García, P.: Learning communities in social networks and their relationship with the MOOCs. IEEE Revista Iberoamericana de Tecnologias del Aprendizaje 12(1), 24–36 (2017)
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Liu, J., Yang, Z., Wu, Z., Yin, Z., He, S., Shi, Y. (2018). Analysis Model of Teacher-Support and Learning Engagement in E-Learning. In: Liu, S., Glowatz, M., Zappatore, M., Gao, H., Jia, B., Bucciero, A. (eds) e-Learning, e-Education, and Online Training. eLEOT 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 243. Springer, Cham. https://doi.org/10.1007/978-3-319-93719-9_8
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DOI: https://doi.org/10.1007/978-3-319-93719-9_8
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