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Tri Wahyuningsih; Eko Sediyono; Kristoko Dwi Hartomo; Irwan Sembiring – Journal of Education and Learning (EduLearn), 2024
Gamification can make learning more fun and engaging for students. Software engineering can utilize gamification to help students learn and improve their skills from the complexity of software engineering. This study used quantitative research to examines perceived ease of use, student satisfaction, and perceived usefulness to measure gamification…
Descriptors: Gamification, Educational Quality, Intention, Computer Software
Ramadhan, Arief; Hidayanto, Achmad Nizar; Salsabila, Ghina Almira; Wulandari, Intan; Jaury, Jessica Alexia; Anjani, Nadia Nabila – Education and Information Technologies, 2022
E-Learning has been massively used in higher education, one of which is in Universitas Indonesia. The e-learning system in Universitas Indonesia is called Student Centered E-Learning Environment Universitas Indonesia (SCELE UI). This research determines the effect of usability on the intention to use SCELE UI in a sustainable way. The Expectation…
Descriptors: Usability, Electronic Learning, Intention, Sustainability
Joseph Lobo; Genesis Dimalanta; Conrad Buerkley; Susan Manuel; Amiel Alfonso; Celter Cris Torres; Gerald Suba – Journal of Educators Online, 2025
This study adapted Davis' (1989) Technology Acceptance Model (TAM) to investigate what influences students' attitudes on using Microsoft Teams (MS Teams) as a learning tool for Physical Education (PE). Partial Least Square-Structural Equation Modeling (PLS-SEM) analysis of survey responses from 1,916 Mabalacat City College students enrolled in an…
Descriptors: Physical Education, Computer Software, Instructional Effectiveness, Computer Uses in Education
Mengrong Han; Hasri Mustafa; Saira Kharuddin – Journal of Pedagogical Research, 2025
This study investigates the adoption and usage of artificial intelligence (AI) technologies among Chinese undergraduate accounting students, focusing on the roles of Social Influence (SI), Behavioral Intention (BI), and Actual Usage (AU), while examining the mediating effect of BI and the moderating effect of Voluntariness of Use (VOU). By…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Accounting
Zhao Li; Jirawan Deeprasert; Songyu Jiang – African Educational Research Journal, 2024
This study employs Structural Equation Modeling (SEM) and the Technology Acceptance Model (TAM) framework to explore the factors influencing Massive Open Online Courses (MOOCs) usage among college students in Southwest China. Using probability sampling, data were collected from 602 participants through an online survey distributed over a period of…
Descriptors: Foreign Countries, MOOCs, Usability, College Students
Chengming Zhang; Min Hu; Weidong Wu; Farrukh Kamran; Xining Wang – Education and Information Technologies, 2025
Artificial intelligence (AI) integration in education has grown significantly recently. However, the potential risks of AI have led to educators being wary of implementing AI systems. To discover whether AI systems can be effective in the classroom in the future, it is critical to understand how risk factors (e.g., perceived safety risks,…
Descriptors: Foreign Countries, Artificial Intelligence, Trust (Psychology), Preservice Teachers
Thinley Wangdi; Karma Sonam Rigdel – Journal of Education for Teaching: International Research and Pedagogy, 2025
This qualitative study explored the factors that influence teachers' behavioural intention (BI) to use ChatGPT for teaching. The data was collected from 214 Bhutanese teachers using open-ended questions and interviews. The thematic analysis revealed four key factors that are likely to influence teachers' BI to use ChatGPT in the context. These…
Descriptors: Teacher Attitudes, Intention, Artificial Intelligence, Computer Software
Pengfei Yang; Shaowen Qian – SAGE Open, 2025
E-learning has revolutionized the educational landscape, changing how knowledge is imparted to students and enhancing the learning process. Despite the growing popularity of e-learning worldwide, a lingering question remains regarding the behavioral intentions of Physical Education students toward its use. This study endeavors to address this…
Descriptors: Foreign Countries, Physical Education, Intention, Electronic Learning
Chun-Hua Hsiao; Kai-Yu Tang – Education and Information Technologies, 2025
The rapid development of generative AI (GenAI), such as ChatGPT, has created both opportunities and challenges for its use in education. Some educators have expressed concern that such rapid report generation from AI may encourage cheating or hinder the development of critical thinking skills in students. Moving beyond mere acceptance, we propose…
Descriptors: Technology Uses in Education, Artificial Intelligence, Higher Education, Ethics
Long Kim; Rungrawee Jitpakdee; Wasin Praditsilp; Sook Fern Yeo – Education and Information Technologies, 2025
Smart classrooms which are facilitated by advanced technology have become a digital learning platform for all university students. Despite their significance in higher education, the number of students adopting the current technology has remained significantly low; thus, universities have to find new solutions to convince their students to quickly…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Higher Education
Sonia Chawla; Gyan Prakash; Gursimranjit Singh; Japneet Kaur – Education and Information Technologies, 2024
Blockchain technology usage in education sector has a capacity to change the way academic records, diplomas, and credentials are maintained, communicated, and verified. Thus, this study aims at understanding the role of blockchain in the higher education sector. Mixed method approach was used in the study for a deeper understanding of the concept.…
Descriptors: Information Technology, Educational Technology, Information Management, Adoption (Ideas)
Oliver Herbort; Philipp Raßbach; Wilfried Kunde – Cognitive Research: Principles and Implications, 2024
Scrolling is a widely used mean to interact with visual displays, usually to move content to a certain target location on the display. Understanding how user scroll might identify potentially suboptimal use and allows to infer users' intentions. In the present study, we examined where users click on a scrollbar depending on the intended scrolling…
Descriptors: Foreign Countries, Adults, Computer Use, Computer Interfaces
Attuquayefio, Samuel NiiBoi – Open Education Studies, 2023
The use of a learning management system (LMS) is believed to be significant for students' academic performance, but students' attitudes regarding its use are divided. Therefore, the purpose of this study is to apply a modified version of the technology acceptance model to determine the motivators for University of Professional Studies Accra…
Descriptors: Student Motivation, Learning Management Systems, Foreign Countries, Intention
Anshita Chelawat; Richal Tuscano; Roshani Prasad; Seema Sant – International Journal of Learning Technology, 2025
This study aims to explore factors predicting the use of e-learning as a sustainable solution in Indian higher education institutions by employing a modified version of the technology acceptance model (TAM). An online questionnaire (n = 200), capturing post-graduate management students from the Mumbai Metropolitan Region, was analysed using…
Descriptors: Educational Technology, Electronic Learning, Graduate Students, Value Judgment
Tai-Ming Wut; Helen Shun-Mun Wong; Carmen Ka-Man Sum – Asia Pacific Journal of Education, 2024
This study aims to determine the continuance use intention of using the current online learning systems. After COVID-19, many online learning systems are available. There is a need to evaluate the performance of existing online learning system. "Confirmation of expectation", "Perceived usefulness" and "Satisfaction on…
Descriptors: Intention, Learning Management Systems, COVID-19, Pandemics