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Tai Ming Wut; Elaine Ah-heung Chan; Helen Shun-mun Wong; Jason K. Y. Chan – Education & Training, 2025
Purpose: Artificial intelligence (AI) has been used in the workplace for years. There are compulsory or elective AI courses in some universities for students to enroll in. With the wide adoption of AI in many industries now, employers also expect students to make good use of AI to enhance their work productivity and efficiency. Hence, the purpose…
Descriptors: Artificial Intelligence, Computer Literacy, Employment Potential, College Students
Weixin Qi; Yawen Yu; Jie Liu; Jinfa Liu – Education and Information Technologies, 2025
In the wake of the COVID-19 pandemic, the demand for online learning has surged, driving rapid developments in online education. This technological advancement aligns with the global push to achieve the United Nations Sustainable Development Agenda for 2030. Despite extensive research on online learning efficacy, there is a gap in understanding…
Descriptors: College Students, COVID-19, Pandemics, In Person Learning
Rekha, I S; Shetty, Jyothi; Basri, Savitha – Education and Information Technologies, 2023
In recent years, there has been an increasing interest in understanding the Massive open online courses (MOOCs) due to its gaining popularity. Even though the number of online platforms and programs has grown during the COVID-19 pandemic, there is still a high rate of dropout and non-completion. In this work, the expectation-confirmation model is…
Descriptors: Undergraduate Students, Graduate Students, Intention, MOOCs
Sing, Chai Ching; Teo, Timothy; Huang, Fang; Chiu, Thomas K. F.; Xing wei, Wang – Educational Technology Research and Development, 2022
As Artificial Intelligence (AI) is rapidly integrated into existing technologies which has brought forth the fourth industrial and learning revolution, designing curriculum for AI education has become an important strategic development for education authorities throughout the world. Framed broadly from the Theory of Planned Behavior, this study…
Descriptors: Secondary School Students, Intention, Technology Uses in Education, Artificial Intelligence
Huang, Fang; Teo, Timothy; Scherer, Ronny – Interactive Learning Environments, 2022
As a key variable determining technology acceptance and adoption, the perceived ease of technology use (PEU) has been in the focus of a considerable body of research. This research examined the external factors that influence perceived ease of use, such as computer self-efficacy and perceived enjoyment, but yielded inconsistent findings and…
Descriptors: College Students, Internet, Electronic Learning, Usability
Tang, Thuy Thi; Nguyen, Thuy Nga; Tran, Huong Thi Thu – Contemporary Educational Technology, 2022
The purpose of this study is to examine factors that influence teachers' intentions to use technology in assessments using the technology acceptance model (TAM) as a framework. An online survey was utilized to collect data, and 360 teachers participated in the survey. This study used partial least squares-structural equation modelling (PLS-SEM) to…
Descriptors: Foreign Countries, Teacher Attitudes, Computer Attitudes, Technology Integration
Ceviker, Elife; Strycker, Jesse; Moody, Alex – Journal of Learning Spaces, 2022
This case study used a design-based research approach to examine the development and evaluation of an online homework system to support learning and problem-solving in a high school physics course. Emergent themes included challenges of building the system, strengths and weaknesses of it, and the benefits to students. While the system largely met…
Descriptors: Homework, Educational Technology, High School Students, Physics
Mohamed Riyath, Mohamed Ismail; Muhammed Rijah, Uthuma Lebbe – Asian Association of Open Universities Journal, 2022
Purpose: The study investigates the factors that impact the adoption of learning management systems (LMSs) among educators for effective implementation of open and distance learning (ODL) environment in advanced technological institutes (ATIs). Design/methodology/approach: This study uses the extended technology acceptance model (TAM) and analyses…
Descriptors: Integrated Learning Systems, Technology Integration, Program Implementation, Open Education

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