LARGE-SCALE ONLINE LEARNING SUPPORTED BY INTELLIGENT DEVICES IN THE POST-PANDEMIC ERA
DOI:
https://doi.org/10.17770/sie2022vol1.6850Keywords:
acceptance of online teaching and learning, intelligent devices, large-scale online learning, post-epidemic era, readiness for online teaching and learning, satisfaction about online teaching and learningAbstract
With the support of emerging technologies such as artificial intelligence and cloud computing, China began learning and teaching online in 2020 to control the spread of the pandemic and implement the "Classes are suspended, but learning continues" policy. Online learning and teaching require modified methods, management, and evaluation compared with traditional instruction. Moreover, teachers' and students' thinking styles and ways of communication have also changed in terms of practice, places of study and tasks. The large-scale online teaching-learning model has ushered in new teaching and learning reform trends in the post-pandemic era. Therefore, this study investigates students' and teachers' readiness for, acceptance of, and satisfaction about comprehensive online teaching and learning and explores the effect online learning has on students. To achieve the research aim, 67 students from one city and one village in China were surveyed.
The results revealed that online teaching was met with medium levels of readiness and acceptance and gave little satisfaction. For students, attitudes toward learning, support (or lack thereof) from instructors, effective interactions, motivation to learn, and self-regulation influenced online learning satisfaction. In addition, the students' grade levels and locations.
Downloads
References
Briggs, S. (2015). Deeper Learning: What Is It and Why Is It So Effective? InformED. Retrieved from: https://www.opencolleges.edu.au/informed/features/deep-learning/
Clark, R.E. (1983). Reconsidering research on learning from media. Review of Educational Research, 1983(4), p.445–459.
Feng, L., & Ji, Q.W. (2018). Online evaluation for learner development: An adjoint perspective. China Flower Education, 2018(5), p.74–79.
Gang, W. (2018). From Instrumental to Artificial Intelligence - The crisis of Educational Technology and the Transformation of educational technology. Journal of Open Education, 2018, (2), p.51.
Hong, Z. (2020). Investigation and Research on College Teachers’ Attitude towards Online-Teaching in post Pandemic Era. Journal of East China Normal University, 2020(7), p.54-54.
Jian, G.Z. (2020). A study on cultivating students' independent learning ability in primary school science under the core accomplishment. Education Abstract, 2020(17), p.15.
Juan, L., Wen, J.L., Wen, Y.Z., & Chen, L. (2014). An empirical study on adult distance learning readiness. Open Education Research, 2014(3), p.88–97.
Jun, J.S., Ci, X.W. & Po, Y. (2020). Development Venation, Application Status, and Transformation Opportunities of Online Higher Education. Modern Educational Technology, 2020(08), p.12.
Kai, Q.C., Yao, H., & Guo, Q.Z. (2018). The connotation transformation of information literacy and the target positioning of AI education from the perspective of artificial intelligence. Distance Education Journal, 2018(1), p.61–67.
Kun, W., Xu, D.Z., & You, Q.R. (2020). Online learning in the epidemic. Journal of Distance Education, 2020(3), p.105–112.
Li, L.Z. (2016). Research on the implementation status and countermeasures of an online classroom in Anhui Province. Modern Education Technology, 2016(5).
Man, L.L., & Wei, F.Q. (2020). Investigation and reflection on online teaching behavior and effect during the epidemic. Education Informatization, 2020(5).
Mang, L. (2017). Information Technology Supports Teachers’ Professional Development. Journal of Huzhou Normal University, 2017(06), p.113-114.
Mang, L. & Dong, X.D. (2020). Historical Point: Academic Flourishing of Educational Technology. Journal of Research on Modern Distance Education, 2020(02), p. 3-9.
Rahi, S. (2017). Research Design and Methods: A Systematic Review of Research Paradigms, Sampling Issues and Instruments Development. International Journal of Economics & Management Sciences, Vol.6, Issue 2. DOI: 10.4172/2162-6359.1000403
Ru, C.W. (2020). On Online Teaching during Covid-19 Pandemic: Taking Chinese Teaching and Training in Baicheng Normal University as an Example. Journal of Baicheng Normal University, 2020(4), p.7.
San, P. L., & Min, Z. (2014). Current situation and trend of online learning theory research − Scientometrics analysis based on SSCI database (1994–2013). Journal of Distance Education, 2014(3), p.64−70.
Sheng, Q.Y., Gang, C., & Jing, F.D. (2009). A new interpretation of E-learning: The transformation of network teaching paradigm. Journal of Distance Education, 2009(3), p.3–15.
The China Daily (2018). Building a Digital China. Report of the 19th National Congress. 2018(08).
Yong, X.Z. (2020). New learning centers will emerge. China News Weekly, 2020(15), p.36-37.
Yu, D. (2021). Application of Cloud Computing in Education Management Informatization Construction. Journal of Physics: Conference Series. 1744 (2021) 032062. doi:10.1088/1742-6596/1744/3/032062
