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Chengliang Wang; Xiaojiao Chen; Zhebing Hu; Sheng Jin; Xiaoqing Gu – Journal of Computer Assisted Learning, 2025
Background: ChatGPT, as a cutting-edge technology in education, is set to significantly transform the educational landscape, raising concerns about technological ethics and educational equity. Existing studies have not fully explored learners' intentions to adopt artificial intelligence generated content (AIGC) technology, highlighting the need…
Descriptors: College Students, Student Attitudes, Computer Attitudes, Computer Uses in Education
Venus Chan – Journal of Computer Assisted Learning, 2025
Background: Technology advancement changes not only interpreting practices but also its pedagogy, which has long been criticised for lacking authenticity in/out-of-classroom practices. Objective: This empirical research aims to develop a mobile-assisted language learning application powered by extended reality (XR). Shortened as 'XR MALL', this…
Descriptors: Computer Simulation, Computer Assisted Instruction, Second Language Learning, Translation
Yanan Dai; Abdullah Al Mamun; Mohammad Enamul Hoque; Mengling Wu; Yanan Cai – Journal of Computer Assisted Learning, 2025
Background: Virtual reality (VR) provides a unique immersive teaching experience and brings significant changes to existing education models. However, barriers may influence the resistance to and non-adoption of VR. Objectives: Grounded in innovation resistance theory (IRT), this study thus examined the resistance attitudes and non-adoption…
Descriptors: Educational Technology, Technology Integration, Innovation, Resistance (Psychology)
Allan Mesa Canonigo – Journal of Computer Assisted Learning, 2024
Motivation: This research investigates the transformative impact of integrating AI into mathematics education, aiming to enhance students' conceptual understanding and self-efficacy. It addresses the crucial need for innovative teaching methods in response to contemporary challenges in education and aims to fill gaps in understanding the potential…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Mathematics Instruction, Problem Solving
Yiwen Jin; Lies Sercu – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence has been reshaping many industries, and education is no exception. When ChatGPT burst onto the scene in late 2022, it ignited conversations among educators and researchers alike. Despite growing interest and experimentation with this technology in university classrooms, the field has been missing a comprehensive…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Higher Education
Nan Ma; Zhiyong Zhong – Journal of Computer Assisted Learning, 2025
Background: With the rapid advancement of technology, the integration of Generative Artificial Intelligence (GAI) in education has gained considerable attention. Many studies have examined GAI's impact on learning outcomes, yet their conclusions are inconsistent, highlighting the need for a comprehensive review to clarify its overall effects and…
Descriptors: Meta Analysis, Artificial Intelligence, Technology Uses in Education, Outcomes of Education
Qianwen Tang; Wenbo Deng; Yidan Huang; Shuaijie Wang; Hao Zhang – Journal of Computer Assisted Learning, 2025
Background: Generative Artificial Intelligence (AI) shows promise in enhancing personalised learning and improving educational efficiency. However, its integration into education raises concerns about misinformation and over-reliance, particularly among adolescents. Teacher supervision plays a critical role in mitigating these risks and ensuring…
Descriptors: Artificial Intelligence, Teaching Methods, Educational Quality, Technology Integration
Nikimaleki, Mitra; Rahimi, Mehrak – Journal of Computer Assisted Learning, 2022
Background: The unimaginable power of emerging technologies has transformed education in terms of content creation and instructional design. Due to high value of AR/VR in education, teachers of the 21st century are expected to empower themselves professionally to be able to utilize these technologies in their instructional practices. Despite…
Descriptors: Cooperative Learning, Computer Simulation, Educational Environment, Technology Integration
Ranellucci, John; Rosenberg, Joshua M.; Poitras, Eric G. – Journal of Computer Assisted Learning, 2020
Understanding how prepared teachers are to use technology to enhance their teaching can assist researchers to support them better, yet the theoretical basis for understanding teachers' self-beliefs is in need of stronger empirical support. The first objective of this study was to replicate and extend prior research that empirically tested portions…
Descriptors: Preservice Teachers, Technology Uses in Education, Computer Attitudes, Adoption (Ideas)
Wang, Y.-H. – Journal of Computer Assisted Learning, 2017
This study aimed to explore whether integrating augmented reality (AR) techniques could support a software editing course and to examine the different learning effects for students using online-based and AR-based blended learning strategies. The researcher adopted a comparative research approach with a total of 103 college students participating…
Descriptors: College Students, Computer Software, Computer System Design, Blended Learning
Rustam Shadiev; Yingying Feng; Roza Zhussupova; Yueh-Min Huang – Journal of Computer Assisted Learning, 2024
Background: Tele-collaborative projects serve as invaluable platforms for students from diverse countries to engage in cross-cultural communication and exchange cultural knowledge. These projects offer immense benefits in terms of fostering intercultural competence among participants. However, one challenge arises when participants engage in…
Descriptors: Telecommunications, Feedback (Response), Assistive Technology, Verbal Communication
Price, S.; Jewitt, C.; Sakr, M. – Journal of Computer Assisted Learning, 2016
This paper reports an empirical study that takes a multimodal analytical approach to examine how mobile technologies shape students' exploration and experience of place during a history learning activity in situ. In history education, mobile technologies provide opportunities for authentic experiential learning activities that have the potential…
Descriptors: History Instruction, Handheld Devices, Telecommunications, Learning Activities
Callaghan, M. N.; Long, J. J.; van Es, E. A.; Reich, S. M.; Rutherford, T. – Journal of Computer Assisted Learning, 2018
As more attention is placed on designing digital educational games to align with schools' academic aims (e.g., Common Core), questions arise regarding how professional development (PD) may support teachers' using games for instruction and how such integration might impact students' achievement. This study seeks to (a) understand how teachers use…
Descriptors: Computer Games, Teaching Methods, Computer Assisted Instruction, Faculty Development
Díaz, A.; Nussbaum, M.; Varela, I. – Journal of Computer Assisted Learning, 2015
Recent research has suggested that simply providing each child with a computer does not lead to an improvement in learning. Given that dozens of countries across the world are purchasing computers for their students, we ask which elements are necessary to improve learning when introducing digital resources into the classroom. Understood the…
Descriptors: Educational Technology, Access to Computers, Computer Uses in Education, Technology Integration
Wang, Y.-H. – Journal of Computer Assisted Learning, 2016
In this study, the researcher aimed to develop a mobile-assisted learning system and to investigate whether it could promote teenage learners' classical Chinese learning through the flipped classroom approach. The researcher first proposed the structure of the Cross-device Mobile-Assisted Classical Chinese (CMACC) system according to the pilot…
Descriptors: Foreign Countries, Chinese, Computer Assisted Instruction, Computer Uses in Education

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