Teng Ma;Ahmad Samed Al-Adwan;Na Li;Erick Purwanto;Wan Meng;Hai-Ning Liang
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引用次数: 0
Abstract
Contribution: This study has proposed a hybrid framework of acceptance and self-determination for the use of digital textbooks in higher education programming courses. The intertwined relationships between acceptance and self-determination factors, and their joint effects on student’s engagement and learning performance are all examined. Background: Despite the proliferation of education technologies, their acceptance and performance among students are still limited by the active participation of students, especially for engineering training of higher education. Traditional acceptance-related factors face challenges in explaining the engagement of students in using new technology, which calls for an integrated examination for their interconnection and joint effects. Research Questions: 1) How do acceptance and self-determination factors influence each other in using digital textbooks? 2) How do acceptance and self-determination factors jointly affect student’s engagement and learning performance? Methodology: By collecting data from students in a programming course using HTML5 package (H5P) digital textbooks, this study examined relationships in the hybrid framework through partial least-squares structural equation modeling (PLS-SEM). Findings: This study reveals the relationship between acceptance and self-determination, which verified the mediation effect of self-determination between perceived usefulness / ease of use and acceptance. Besides, the acceptance of students, along with competence and relatedness, could significantly facilitate learning engagement, which further increases the learning performance.
期刊介绍:
The IEEE Transactions on Education (ToE) publishes significant and original scholarly contributions to education in electrical and electronics engineering, computer engineering, computer science, and other fields within the scope of interest of IEEE. Contributions must address discovery, integration, and/or application of knowledge in education in these fields. Articles must support contributions and assertions with compelling evidence and provide explicit, transparent descriptions of the processes through which the evidence is collected, analyzed, and interpreted. While characteristics of compelling evidence cannot be described to address every conceivable situation, generally assessment of the work being reported must go beyond student self-report and attitudinal data.