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Xu Fang; Yutong Cai – Journal of Computer Assisted Learning, 2025
Background: The application of generative artificial intelligence (GenAI) in education has been deepening. However, at the same time, behaviours that jeopardise academic health, such as learners' over-reliance on generative AI and massive plagiarism of generated content of generative AI in essay writing, have begun to emerge, and the issue of…
Descriptors: Ethics, College Students, Artificial Intelligence, Technology Uses in Education
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
Changhong Peng; Weixing Gu; Liping Jiang – Journal of Computer Assisted Learning, 2025
Background Study: In the field of English as a foreign language education, receptive skills such as listening and reading play a vital role in learners' academic success and professional development. These skills not only improve language comprehension but also facilitate language production. Objectives: Therefore, the primary objective of this…
Descriptors: Foreign Countries, Telecommunications, Metacognition, Second Language Learning
Ziyun Zhang; Ruixi Yang – Journal of Computer Assisted Learning, 2025
Key Findings: This study identifies a strong positive relationship between digital literacy and language proficiency, highlighting how technological competence enhances motivation, engagement and PL, leading to improved language learning outcomes. Purpose: This research explores the connection between digital literacy and language proficiency,…
Descriptors: College Students, Individualized Instruction, Technology Uses in Education, Digital Literacy
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)
Temesgen Samuel; Hsiu-Ling Chen; Abebayehu Yohannes – Journal of Computer Assisted Learning, 2025
Background: As highly interactive hands-on learning tools, robots can inspire new generations of mathematics students. However, to date, no comprehensive systematic reviews have been conducted on robot-assisted mathematics education from K-12 through higher education. Hence, it is important to explore the research evidence of robot-assisted…
Descriptors: Mathematics Instruction, Robotics, Technology Uses in Education, Elementary Secondary Education
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
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
Lixin Wang – Journal of Computer Assisted Learning, 2025
Background: This paper represents an empirical study that examines the impact of specific teaching methods on the effectiveness of preschool music education. Objectives: The current study seeks to determine whether the integration of digital technology improves the music learning outcomes of preschoolers. Methods: The author compared the learning…
Descriptors: Foreign Countries, Preschool Children, Preschool Curriculum, Preschool Education
Masoumeh Kouhsari; Junjun Chen – Journal of Computer Assisted Learning, 2025
Background: The increasing integration of artificial intelligence (AI) in education has highlighted the need for research on its role in fostering career sustainability among school leaders. Existing knowledge lacks a comprehensive understanding of how trust in AI relates to school leaders' performance and well-being amidst rapid technological…
Descriptors: Artificial Intelligence, Technology Uses in Education, Trust (Psychology), Technology Integration
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
Liron Levy-Nadav; Tamar Shamir-Inbal; Ina Blau – Journal of Computer Assisted Learning, 2025
Background: The rapid rise of Generative Artificial Intelligence (GenAI) is transforming education. At this stage, there is not yet a well-established and tested theoretical framework clarifying which competencies learners must possess to use GenAI effectively and safely. This study draws on three theoretical frameworks: Eshet-Alkalai's Digital…
Descriptors: Digital Literacy, Competence, Artificial Intelligence, Technology Uses in 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
Yu-Shan Chang – Journal of Computer Assisted Learning, 2025
Background: Due to the rapid development of artificial intelligence (AI) and the widespread adoption of online learning post-COVID-19, the metaverse has become an important strategy for innovative teaching. Objectives: This study aimed to investigate the impact of the metaverse on learning engagement, learning emotions, and creative performance in…
Descriptors: Learner Engagement, Psychological Patterns, Emotional Response, Artificial Intelligence
Ali Alqarni – Journal of Computer Assisted Learning, 2025
Background: Critical thinking is essential in modern education, and artificial intelligence (AI) offers new possibilities for enhancing it. However, the lack of validated tools to assess teachers' AI-integrated pedagogical skills remains a challenge. Objectives: The current study aimed to develop and validate the Artificial Intelligence-Critical…
Descriptors: Artificial Intelligence, Technology Uses in Education, Test Construction, Test Validity
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