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Tobias Kohn – Journal of Computer Assisted Learning, 2025
Background: The recent advent of powerful, exam-passing large language models (LLMs) in public awareness has led to concerns over students cheating, but has also given rise to calls for including or even focusing education on LLMs. There is a perceived urgency to react immediately, as well as claims that AI-based reforms of education will lead to…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Usability
Lanqin Zheng; Zichen Huang; Lei Gao; Yunchao Fan – Journal of Computer Assisted Learning, 2025
Background: Online collaborative learning has been broadly applied in the field of higher education. Nevertheless, not all types of collaborative learning can produce the desired learning results. Objectives: To facilitate online collaborative learning, the present study proposed an innovative artificial intelligence-enabled group cognitive…
Descriptors: Artificial Intelligence, Technology Uses in Education, Electronic Learning, Online Courses
Daniel Kangwa; Mgambi Msambwa Msafiri; Antony Fute – Journal of Computer Assisted Learning, 2025
Background: This study explored the factors that influence the balance between academic integrity and the effective use of GenAI tools in higher education. It focused on the role of institutional guidelines in enhancing the responsible use of GenAI technologies to enhance academic integrity. Objectives: The study was theoretically grounded in the…
Descriptors: Integrity, Artificial Intelligence, Technology Uses in Education, Higher Education
Yanyan Sun; Yingfen Huang – Journal of Computer Assisted Learning, 2025
Background: Collaborative lesson planning is a crucial practice in teacher education, supporting pre-service teachers in lesson design and fostering professional development. While generative AI (GenAI) is increasingly integrated into education, its role in collaborative lesson planning remains unclear. Objectives: This study aims to explore how…
Descriptors: Artificial Intelligence, Technology Uses in Education, Lesson Plans, Preservice Teachers
Shilpi Harnal; Gaurav Sharma; Anupriya; Anand Muni Mishra; Deepak Bagga; Nikhil Saini; Pankaj Kumar Goley; Kumar Anupam – Journal of Computer Assisted Learning, 2024
Background: An innovative and interactive real-world environment can be presented with augmented reality (AR) that comprises digital visual elements, audio, or other sensory information delivered via technology to enhance one's experience. AR has numerous potential applications in various everyday fields. The education sector is one such arena…
Descriptors: Bibliometrics, Computer Simulation, Artificial Intelligence, Educational Technology
Patricia Feubli; Douglas MacKevett; Jürg Schwarz – Journal of Computer Assisted Learning, 2024
Background: This research paper presents a cross-sectional study that examinefs the preferences of students for hybrid teaching and learning scenarios. Unlike previous studies that merely describe hybrid scenarios, this research prioritizes them, offering evidence-based findings for informed policy decisions. Methods: The data collection method…
Descriptors: Blended Learning, Preferences, Foreign Countries, Educational Environment
A. M. Alexandra Schmitterer; Leonard. D. Tetzlaff; Marcus Hasselhorn; Garvin Brod – Journal of Computer Assisted Learning, 2024
Background: Learning Progress Assessments (LPA) have been developed to help teachers individualize their curriculum. The use of LPA is facilitated by an increasing number of computerized LPA tools. However, little is known about student factors that influence the effectiveness of computerized LPA. Objectives: In this study, we explored whether a…
Descriptors: Progress Monitoring, Student Evaluation, Information Technology, Influences
Lei Han; Haoyue Guo; Zongshuo Ma; Ruihua Wang; Mengshi Xiao – Journal of Computer Assisted Learning, 2024
Background: Given the current technological advancements and the growing need for remote education, multimedia learning has become more popular among teachers and students. Therefore, the creation of multimedia teaching programmes that can improve learning outcomes has become increasingly important. However, there is a lack of research on whether…
Descriptors: College Students, College Faculty, Multimedia Instruction, Visual Stimuli
Robert F. Siegle; Scotty D. Craig – Journal of Computer Assisted Learning, 2024
Background: The voices virtual on-screen characters use has been shown to impact learning and perception outcomes. Recent replication research on these voices showed that synthetic voices were not a detriment if produced by a high-quality engine with clear articulation. The current manuscript examines previous accent research that utilized now…
Descriptors: Acoustics, Artificial Intelligence, Electronic Learning, Quality Assurance
Na Yuan – Journal of Computer Assisted Learning, 2024
Background: In the modern music industry, AI music generators have gained particular importance. The use of AI greatly simplifies the creation of polyphony. In addition, it can increase student motivation and interest. Aims: This study focuses on the AI-assisted creation of polyphonic music. The purpose of this study is to determine how creating…
Descriptors: Artificial Intelligence, Motivation Techniques, Music Education, Technology Uses in Education
Kang, Youn Gu; Song, Hae-Deok; Yun, Hyejoo; Jo, Yunseong – Journal of Computer Assisted Learning, 2022
Background: This study aims to establish the mechanism by which virtual reality (VR) media characteristics affect learning transfer in a VR-based job-training environment. The two main determinants of learning transfer are the technology and the learner, but not many studies have considered both factors simultaneously. Objectives: This study aims…
Descriptors: Computer Simulation, Job Training, Transfer of Training, Engineering
Daniela Olea-Ibarra; Christian Hartmann; Maria Bannert – Journal of Computer Assisted Learning, 2025
Background: Enjoyment and epistemic emotions are essential in education as they drive learners to actively and persistently engage with learning material. Augmented Reality (hereinafter referred to as AR) is an emerging educational tool that offers unique opportunities for immersive learning experiences. By incorporating AR into the learning…
Descriptors: Psychological Patterns, Positive Attitudes, Computer Simulation, Active Learning
Wen Xin Zhang; John J. H. Lin; Ying-Shao Hsu – Journal of Computer Assisted Learning, 2025
Background Study: Assessing learners' inquiry-based skills is challenging as social, political, and technological dimensions must be considered. The advanced development of artificial intelligence (AI) makes it possible to address these challenges and shape the next generation of science education. Objectives: The present study evaluated the SSI…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Inquiry, Active Learning
Zhihao Cui; Oi-Lam Ng; Morris Siu-yung Jong; Xiaojing Weng – Journal of Computer Assisted Learning, 2025
Background: Amidst the increasing application of online education in the post-COVID era, new challenges in student engagement have emerged. However, most studies on online engagement have adopted macro-level approaches and relied on self-report measures of retrospective engagement. Few have examined micro-level engagement in terms of real-time and…
Descriptors: Middle School Students, Learner Engagement, Attention, Synchronous Communication
Chih-Chung Lin; Tzu-Hsuan Lin; Chi-Kay Tang – Journal of Computer Assisted Learning, 2025
Background: The integration of generative artificial intelligence (Gen-AI) into second language (L2) education has opened new possibilities for personalized and adaptive instruction. While Gen-AI has shown promise in supporting language production skills, its application in reading, particularly in pre-reading scaffolding, remains underexplored.…
Descriptors: Reading Comprehension, English (Second Language), Second Language Learning, College Freshmen

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