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Haixiao Dai; Phong Lam Nguyen; Cat Kutay – Interactive Technology and Smart Education, 2024
Purpose: Digital learning systems are crucial for education and data collected can analyse students learning performances to improve support. The purpose of this study is to design and build an asynchronous hardware and software system that can store data on a local device until able to share. It was developed for staff and students at university…
Descriptors: Foreign Countries, Cooperative Learning, Rural Schools, Asynchronous Communication
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Kuadey, Noble Arden; Mahama, Francois; Ankora, Carlos; Bensah, Lily; Maale, Gerald Tietaa; Agbesi, Victor Kwaku; Kuadey, Anthony Mawuena; Adjei, Laurene – Interactive Technology and Smart Education, 2023
Purpose: This study aims to investigate factors that could predict the continued usage of e-learning systems, such as the learning management systems (LMS) at a Technical University in Ghana using machine learning algorithms. Design/methodology/approach: The proposed model for this study adopted a unified theory of acceptance and use of technology…
Descriptors: Foreign Countries, College Students, Learning Management Systems, Student Behavior
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Bessadok, Adel; Abouzinadah, Ehab; Rabie, Osama – Interactive Technology and Smart Education, 2023
Purpose: This paper aims to investigate the relationship between the students' digital activities and their academic performance through two stages. In the first stage, students' digital activities were studied and clustered based on the attributes of their activity log of learning management system (LMS) data set. In the second stage, the…
Descriptors: Learning Activities, Academic Achievement, Learning Management Systems, Data Analysis
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Cheng, Yung-Ming – Interactive Technology and Smart Education, 2023
Purpose: The purpose of this study is to propose a hybrid model integrating the expectation-confirmation model with the views of cognitive absorption (CA) theory and updated DeLone and McLean information system success model to examine whether quality factors as antecedents to medical professionals' beliefs can affect their continuance intention…
Descriptors: Cognitive Processes, Electronic Learning, Expectation, Health Personnel