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Please use this identifier to cite or link to this item: http://dspace.bu.ac.th/jspui/handle/123456789/5178

Title: A study on the learning engagement status and influencing factors of university students in a smart classroom environment: A case study of a smart classroom at Baise University
Authors: Nong Jiaming
Keywords: Smart Classroom
University Students
Learning Engagement
Influencing Factors
Issue Date: 2565
Publisher: Bangkok University
Abstract: The rapid development of new technologies such as Big Data, Internet of Things, Cloud Computing, Virtual Reality and Artificial Intelligence has promoted the transformation of traditional learning environments into intelligent learning environments. The quality of teaching and learning in higher education has long been a concern, and the engagement of university students in the classroom is a core element in measuring the quality of education. The study focuses on the factors that influence students' engagement in learning in the smart classroom environment. The research methodologies and research results, as well as the practical research experiences of related scholars, were then used to reflect on this study and gain inspiration. The model is based on Astin's I-E-O model, Kuh's (2009) Learning Engagement Theory and Bandura's Ternary Interaction Decision Theory, and refers to the path diagram and conceptual model of learning engagement factors. The study was based on students in a smart classroom at Baise University. The study adopted a mixed research method combining qualitative and quantitative research to understand students' learning engagement and influencing factors in the smart classroom environment. The main findings of this study are as follows: 1. Regarding the current state of learning engagement: the overall level of college students' learning engagement is high in the smart classroom environment, with most college students' learning engagement at a medium to high level; college students' behavioral engagement, cognitive engagement, and emotional engagement levels are all high. There is no significant difference between gender and learning engagement, and both male and female students have higher levels of learning engagement. The gender sample showed significant differences in behavioural engagement, i.e. girls were significantly more engaged than boys. 2) When students' learning status (behavioural engagement, cognitive engagement and affective engagement) is better, students' learning engagement increases significantly. 3) Factors influencing learning engagement: self-efficacy, technology acceptance, motivation, teacher factors, interactive behaviour and environmental factors are all factors influencing learning engagement. All of these factors had a positive effect on learning engagement. The author then analyses and discusses the findings and makes recommendations on each of the six factors in the hope of improving learning engagement in the smart classroom environment and promoting the use of smart classrooms in universities.
Description: Independent Study (M.M.)--Business Innovation, Graduate School, Bangkok University, 2021
Advisor(s): Xavier Parisot
Varalee Chinerawat
Qiuxue Luo
URI: http://dspace.bu.ac.th/jspui/handle/123456789/5178
Appears in Collections:Independent Studies - Master

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