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Articles

The effects of interaction types on learning outcomes in a blog-based interactive learning environment

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Pages 293-306 | Received 18 Nov 2018, Accepted 03 Aug 2019, Published online: 24 Sep 2019
 

ABSTRACT

As the use of online learning has continued to expand, there has been a growing demand for advanced software or social sites that can enhance learning outcomes in online settings. It is important to explore how learner–learner, learner–teacher and learner–content interactions affect on learning outcomes while using the social sites such as Facebook, Twitter, WeChat, Blogs, etc. Although some prior research highlight that there is a demand for interaction in online courses, specific design tactics and empirical evaluation of the effects of interaction on learning outcomes in blog-based courses are lacking. Thus, a blog learning platform named “Learner’s Digest Blog” (LDB) was developed to facilitate the three types of interactions and enhance learning outcomes. A total of 26 learners participated in the blog-based interactive learning environment. The study addressed two research questions, and regression analysis was used to analyze the data. The findings indicated a significant influence between learner–learner interaction, learner–teacher interaction and learner–content interaction on subjective learning outcome. In contrast, there was no significant influence of learner–teacher interaction on objective learning outcomes, but learner–learner and learner–content did significantly affect objective learning outcomes. A significant relationship was also found between students’ subjective and objective learning outcomes.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by doctoral foundation project [grant number 4033/718011]; doctoral foundation project [grant number 4033/718011].

Notes on contributors

Benazir Quadir

Dr. Benazir Quadir is a lecturer in the Business School at Shandong University of Technology, Zibo City, Shandong Province, P.R. China. She received her PhD degree 2013. She has published over 20 academic papers in the international referred journals, and conferences. One of her papers got outstanding best paper awards in the International Conference on Smart Learning Environment. She received young research project from Shandong province. Her research interests include digital game-based learning, online synchronous learning, learning Analytics, big data in education and social media learning. She is a reviewer of several international journals and committee member for several international conferences.

Jie Chi Yang

Dr. Jie Chi Yang is currently a full professor in the Graduate Institute of Network Learning Technology at the National Central University, Taiwan. His research interests include computer assisted language learning, digital game-based learning, human factors, mobile learning, web-based learning environment, natural language processing, and multimedia technologies. He is working on the design, development, and evaluation of interactive learning environments by using advanced technologies, aiming to enhance language learning and science learning. He received the Ta-You Wu Memorial Award (Young Outstanding Researcher Award) from the Ministry of Science and Technology, Taiwan in 2009. He was also appointed as Distinguished Professor at the National Central University, Taiwan in 2010.

Nian-Shing Chen

Dr. Nian-Shing Chen is a Chair Professor in the Department of Applied Foreign Languages at the National Yunlin University of Science and Technology, Taiwan. He has published over 400 academic papers in the international referred journals, conferences and book chapters. One of his papers published in Innovations in Education and Teaching International was awarded as the top cited article in 2010. He is the author of three books with one textbook entitled “e-Learning Theory & Practice”. Prof. Chen has received the national outstanding research awards for three times from the National Science Council in 2008, 2011–2013 and the Ministry of Science and Technology in 2015–2017. His current research interests include assessing e-Learning course performance; online synchronous teaching & learning; mobile & ubiquitous learning; gesture-based learning and educational robotics. Prof. Chen is serving as editorial board members for many international journals and guest editors for special issues of international journals. He has also organized and chaired numerous international conferences and workshops in the area of advanced learning technologies. Professor Chen is a golden core member of IEEE, ACM and the former Chair of the IEEE Technical Committee on Learning Technology (http://lttf.ieee.org/).

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