Current Situation and Hotspot Analysis of Blended Teaching based on Bibliometrics

Authors

  • Yuqian Xue

DOI:

https://doi.org/10.54097/ehss.v4i.2764

Keywords:

Blended learning, Online learning, Bibliometrics.

Abstract

With the rapid development of information technology and data science, blended teaching has received widespread attention. It has both the dual advantages of offline traditional teaching and online learning, and its flexible organization, diversified resource forms and interactive ways are favored by many educational researchers at home and abroad. In order to understand the development status and hot spots of blended learning more intuitively and clearly, this paper takes the research papers of blended learning in the recent ten years from the Web of Science database as samples to quantitatively analyze the literature quantity distribution and development situation of blended learning. The bibliometric tool CiteSpace was used for visual analysis, and the evolution trend of blended teaching research content was sorted out by keyword co-occurrence analysis and cluster analysis. This paper further summarizes the development hotspots of blended learning.

Downloads

Download data is not yet available.

References

Ismail, A. O. A, Mahmood, A. K., & Abdelmaboud, A. Factors Influencing Academic Performance of Students in Blended and Traditional Domains. International Journal of Emerging Technologies in Learning. 2018 (02), 170 – 187.

Stephen Downes. In the Digital Era, how to break through the siege of education and teaching. China Education Network. 2017 (12): 5 - 6.

Stephen Downes, Junhong Xiao. Not just free: Open learning in the online world. Distance Education in China. 2015 (4): 5 - 16.

Guohua W, Shuyu Y, Huifang H, Yan Hu. Visual Analysis of distance Education Research in China-- Core Literature, Hot spot, Frontier and Trend. Journal of distance Education. 2015 (1): 57 - 65.

Lin, WS. Perceived fit and satisfaction on web learning performance: IS continuance intention and task-technology fit perspectives. International Journal of Human-Computer Stidues. 2012, 70 (7): 498 - 507.

Barak M, Watted A, Haick H. Motivation to learn in massive open online courses: Examining aspects of language and social engagement. 2016 (94): 49 - 60.

Porter WW, Graham CR, Spring KA, Welch KR. Blended learning in higher education: Institutional adoption and implementation. Computers & Education. 2014,75: 185 - 195.

Rasheed RA, Kamsin A, Abdullah NA. Challenges in the online component of blended learning: A systematic review. Computers & Education.2019, 114.

Chung CJ, Hwang GJ, Lai CL. A review of experimental mobile learning research in 2010-2016 based on the activity theory framework. Computers & Education. 2019,129: 1 - 13.

Xian Peng, Qinmei Xu. Investigating learners' behaviors and discourse content in MOOC course reviews. Computers & Education, 2020, 143.

Ng YY, Przybylek A. Instructor Presence in Video Lectures: Preliminary Findings from an Online Experiment. IEEE Access. 2021, 9: 36485 - 36499.

Murray M C, Pérez J, Geist D, Hedrick A. Student Interaction with Online Course Content: Build It and They Might Come. Journal of Information Technology Education: Innovations in Practice, 2012 (11): 125 - 140.

Eppich W, Cheng A. Promoting Excellence and Reflective Learning in Simulation (PEARLS) Development and Rationale for a Blended Approach to Health Care Simulation Debriefing. Simulation in Healthcare-journal of the Society for Simulation in Healthcare. 2015, 10 (2): 106 - 115.

Hoic-Bozic N, Mornar V, Boticki I. A Blended Learning Approach to Course Design and Implementation. IEEE Transactions on Education. 2009, 52 (1): 19 - 30.

Shang, WL. Application of Machine Learning and Internet of Things Techniques in Evaluation of English Teaching Effect in Colleges. Computational Intelligence and Neuroscience.2022, 2022.

Yimin Wen, Ye Tian, Boxi Wen, Qing Zhou, Guoyong Cai, Shaozhong Liu. Consideration of the Local Correlation of Learning Behaviors to Predict Dropouts from MOOCs. Tsinghua Science and Technology, 2020, 25 (03): 336 - 347.

Downloads

Published

17-11-2022

How to Cite

Xue, Y. (2022). Current Situation and Hotspot Analysis of Blended Teaching based on Bibliometrics. Journal of Education, Humanities and Social Sciences, 4, 193-198. https://doi.org/10.54097/ehss.v4i.2764