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Zhanni Luo – Educational Technology Research and Development, 2024
This study is to develop and validate a scale that measures the acceptance intention of secondary school teachers toward gamified English-as-a-foreign-language (EFL) tools. Drawing upon the technology acceptance models (TAM) and related frameworks, we synthesized a framework that includes six main factors contributing to teachers' acceptance…
Descriptors: Teacher Attitudes, Language Teachers, English (Second Language), Gamification
Kamil Çelik; Ahmet Ayaz – Educational Technology Research and Development, 2025
Technological advancements in recent years have accelerated the development of information and communication technologies, introducing numerous innovations. One prominent innovation is the concept of the metaverse, which has gained significant popularity and is increasingly influencing various sectors, including the economy, art, entertainment,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intention, Computer Science Education
Genady Kogan; Hadas Chassidim; Irina Rabaev – Educational Technology Research and Development, 2024
The main goal of this study was to evaluate the impact of an animation and visualization of data structures (AVDS) tool on both perceptions and objective test performance. The study involved a rigorous experiment that assessed the usability, acceptability, and effectiveness of the AVDS tool in solving exercises. A total of 78 participants…
Descriptors: Animation, Teaching Methods, Instructional Effectiveness, Learning Experience
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
Tang, Hengtao; Lin, Yu-Ju; Qian, Yingxiao – Educational Technology Research and Development, 2021
Teachers in K-12 settings increasingly demand instructional materials beyond textbooks to follow the upward momentum of personalized instruction. Especially during the outbreak of COVID-19, K-12 teachers are forced to quickly adapt to online teaching and thus have more difficulties of delivering personalized instruction in a relatively…
Descriptors: Elementary School Teachers, Secondary School Teachers, Teacher Attitudes, Intention
Islamoglu, Hakan; Kabakci Yurdakul, Isil; Ursavas, Omer Faruk – Educational Technology Research and Development, 2021
The purpose of this study was to develop a mobile learning acceptance model for pre-service teachers and to examine the relationships among technology acceptance factors. The literature on mobile learning acceptance lacks studies on pre-service teachers and studies that include concrete mobile learning scenarios. To overcome these problems, we…
Descriptors: Preservice Teachers, Preservice Teacher Education, Educational Technology, Technology Uses in Education
Cheng, Miaoting; Yuen, Allan H. K. – Educational Technology Research and Development, 2019
Drawing on the technology acceptance model, the theory of reasoned action, and the expectation-confirmation model, an integrated model was proposed to explore teenagers' learning management system (LMS) acceptance and continuance. Based on the data collected from a longitudinal survey of 1182 junior secondary students in Hong Kong, the results of…
Descriptors: Adolescents, Integrated Learning Systems, Secondary School Students, Foreign Countries
Factors Influencing University Teachers' Use of a Mobile Technology-Enhanced Teaching (MTT) Platform
Tang, Kai-Yu; Hsiao, Chun-Hua; Tu, Yun-Fang; Hwang, Gwo-Jen; Wang, Youmei – Educational Technology Research and Development, 2021
The main purpose of this study was to examine the critical factors influencing university teachers' use of a mobile technology-enhanced teaching (MTT) platform during the new coronavirus (COVID-19) epidemic. An integrated model with multiple factors drawing from the theoretical models and learning theories was proposed in this study to examine…
Descriptors: Educational Technology, Technology Uses in Education, College Faculty, Telecommunications
Teo, Timothy; Zhou, Mingming; Fan, Andy Chun Wai; Huang, Fang – Educational Technology Research and Development, 2019
Moodle is widely used in higher education institutions in this digital age. With the growing popularity of Moodle use in education, this study aimed to research on the factors that influence student users' intentions to adopt Moodle for learning purposes in Macau. A total of 564 students from nine departments at the University of Macau responded…
Descriptors: College Students, Student Attitudes, Management Systems, Intention
Yim, Joanne Sau-Ching; Moses, Priscilla; Azalea, Alia – Educational Technology Research and Development, 2019
Psychological ownership (PO) is a sense of being psychologically tied to an object to the extent that it becomes part of the extended self. As technology becomes ubiquitous in daily lives, research have shown the potential of this concept to influence users' behavior. Hence, this study incorporates PO and its antecedents with the beliefs of…
Descriptors: Teaching Methods, Psychological Patterns, Teacher Attitudes, Self Concept
Hyman, Jack A.; Moser, Mary T.; Segala, Laura N. – Educational Technology Research and Development, 2014
Mobile information technology is changing the education landscape by offering learners the opportunity to engage in asynchronous, ubiquitous instruction. While there is a proliferation of mobile content management systems being developed for the mobile Web and stand-alone mobile applications, few studies have addressed learner expectations and…
Descriptors: Electronic Learning, Electronic Libraries, Use Studies, Usability
Joo, Young Ju; Kim, Nari; Kim, Nam Hee – Educational Technology Research and Development, 2016
This study analyzed the relationships among factors predicting online university students' actual usage of a mobile learning management system (m-LMS) through a structural model. Data from 222 students in a Korean online university were collected to investigate integrated relationships among their perceived ease of use, perceived usefulness,…
Descriptors: Foreign Countries, College Students, Integrated Learning Systems, Handheld Devices