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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
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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
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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
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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)
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Shimaya, Jiro; Yoshikawa, Yuichiro; Ogawa, Kohei; Ishiguro, Hiroshi – Journal of Computer Assisted Learning, 2021
Encouraging students to actively ask questions during lectures is a formidable challenge that can be addressed through innovative use of information technology. We developed a robotic system that allows students in a lecture to collaboratively decide questions to be asked by a humanoid robot. To verify whether the system reduces hesitation to ask…
Descriptors: Robotics, Technology Integration, Questioning Techniques, Synchronous Communication
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Ahnaf Chowdhury Niloy; Salma Akter; Nayeema Sultana; Jakia Sultana; Sayed Imran Ur Rahman – Journal of Computer Assisted Learning, 2024
Background: The increasing prevalence of Artificial Intelligence (AI) language models, exemplified by ChatGPT, has sparked inquiries into their influence on creative writing skills in educational contexts. This study aims to quantitatively investigate whether ChatGPT's use negatively affects university students' creative writing abilities,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Creative Writing, Writing Ability
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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
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Karvounidis, T.; Chimos, K.; Bersimis, S.; Douligeris, C. – Journal of Computer Assisted Learning, 2014
In this work, Web 2.0 technologies in higher education are evaluated using students' perceptions, satisfaction, performance and behaviour. The study evaluates the Web 2.0 tools as stand-alone entities as well in terms of their cross-operability and integration (confluence) to synergistic contributions towards the enhancement of student…
Descriptors: Web 2.0 Technologies, Computer Software Evaluation, Higher Education, Student Attitudes
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De Wever, B.; Van Keer, H.; Schellens, T.; Valcke, M. – Journal of Computer Assisted Learning, 2009
This article examines the impact of the introduction of roles and the added value of self-assessment on students' level of knowledge construction in online asynchronous discussions in a first-year university course in instructional sciences. Students' postings in 20 discussion groups were used as the research data for this study. All messages,…
Descriptors: Computer Mediated Communication, Discussion Groups, Knowledge Level, Content Analysis