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Sivakorn Malakul – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence (AI) tools have been increasingly utilised in the production of educational media, including animated educational videos (AEVs) incorporating pedagogical agents (PAs). These tools support the efficient creation of multimedia content and reduce teachers' technical workload. Objectives: This study investigates the…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Teacher Attitudes
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)
Kshitij Sharma; Serena Lee-Cultura; Sofia Papavlasopoulou; Michail Giannakos – Journal of Computer Assisted Learning, 2025
Background: Effort measurement is essential for adaptation to interactive learning technologies. Most contemporary technologies measure effort through the log data (reaction time and correctness). Some adaptive technologies use facial expressions and attention to adapt. Objectives: We present a novel, complementary, and multimodal definition of…
Descriptors: Academic Persistence, Educational Technology, Technology Uses in Education, Assistive Technology
Shang Shanshan; Geng Sen – Journal of Computer Assisted Learning, 2024
Background: Artificial intelligence-generated content (AIGC) has stepped into the spotlight with the emergence of ChatGPT, making effective use of AIGC for education a hot topic. Objectives: This study seeks to explore the effectiveness of integrating AIGC into programming learning through debugging. First, the study presents three levels of AIGC…
Descriptors: Artificial Intelligence, Educational Technology, Technology Integration, Programming
Enzo Simonnet; Mathieu Loiseau; Élise Lavoué – Journal of Computer Assisted Learning, 2025
Background: Vocabulary learning is an essential dimension of foreign language learning. The learners have a huge responsibility in this task. Among other factors, time constraints and an overall lack of maintained motivation on the part of students makes it especially challenging. Consequently, improving vocabulary learning requires strategies to…
Descriptors: Vocabulary Skills, Technology Uses in Education, Educational Technology, Motivation
Sule Biyik Bayram; Gamze Özener; Nilay Çakici; Handan Eren; Sinan Aydogan; Deniz Öztürk; Emel Gülnar; Nurcan Çaliskan – Journal of Computer Assisted Learning, 2024
Background: There are deficiencies in ensuring the permanence of some theoretical information taught in nursing education and transferring it to practice environment. Mobile-assisted teaching can be useful to eliminate deficiencies. The aim of this study was to determine the effect of mobile-assisted teaching on nursing students' learning…
Descriptors: Foreign Countries, Nursing Students, Human Body, Electronic Learning
Dhvani Toprani; Marcela Borge – Journal of Computer Assisted Learning, 2025
Background: In this paper, we extend findings from previous iterations of a design-based project called ThinkerSpaces design studios that promotes human-centred design among children. ThinkerSpaces design studios is a play-based afterschool club that follows principles of embedded design by prioritising learner agency, exploration and ongoing…
Descriptors: Children, After School Programs, Play, Technology Uses in Education
Valentina Nachtigall; Selina Yek; Nikol Rummel – Journal of Computer Assisted Learning, 2024
Background: With the increasing availability of immersive technologies such as 360° videos for educational purposes, research needs to shift from media comparison studies to value-added studies in order to identify conditions for effective learning with such technologies. For the educational use of history-related virtual reality media, which are…
Descriptors: Computer Simulation, Video Technology, Technology Uses in Education, Educational Technology
Yadviga Radzitskaya; Artem Islamov – Journal of Computer Assisted Learning, 2024
Nanolearning represents an educational methodology rooted in personalisation and the individualisation of the educational process, leveraging contemporary information technologies. Nanolearning, closely intertwined with self-regulated learning, entails an individual's capacity to plan, monitor and regulate their learning process, objectives and…
Descriptors: Microcredentials, Teaching Methods, Information Technology, Learning Processes
Jing Chen; Tianhui Chen – Journal of Computer Assisted Learning, 2025
Background: The creation of Intelligent Supervision Platforms in universities leverages Big Data for robust monitoring and decision-making, which significantly enhances overall efficiency and adaptability in educational environments. Objectives: This research focuses on evaluating how Big Data-driven Intelligent Supervision Platforms in…
Descriptors: Educational Change, Higher Education, Universities, Supervision
Wenji Wang; Wenjuan Wang – Journal of Computer Assisted Learning, 2025
Background Study: The combination of artificial intelligence (AI) and foreign language learning is emerging as a significant trend in language education. Objectives: This study aimed to investigate the impact of technology acceptance, attitude and motivation on behavioural intentions regarding the use of AI in language learning. Methods:…
Descriptors: College Students, Student Behavior, Intention, Educational Technology
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
Idit Adler; Liat Liberman; Ilana Dubovi – Journal of Computer Assisted Learning, 2025
Background: This study investigates the effect of immersion levels in virtual reality (VR) learning environments on the acquisition of declarative and procedural knowledge. Prior research indicates that immersion affects cognitive load, but its impact on declarative and procedural knowledge outcomes remains unclear. This study utilises a…
Descriptors: Computer Simulation, Cognitive Processes, Difficulty Level, Outcomes of Education
Anne Husted Henriksen; Marta Topor; Gustav Bøg Petersen; Rasmus Ahmt Rohde; Linn Damsgaard; Anne-Mette Veber Nielsen; Andreas Wulff-Abramsson; Guido Makransky; Jacob Wienecke – Journal of Computer Assisted Learning, 2025
Background: The study was motivated by the need to enhance children's literacy skills through innovative teaching methods. This research aims to address limitations in regular classroom teaching by exploring embodied learning and virtual reality (VR) as potential solutions. Objectives: The primary aim of the study was to investigate the effects of…
Descriptors: Young Children, Literacy, Intervention, Teaching Methods
Ranieri, Maria; Luzzi, Damiana; Cuomo, Stefano; Bruni, Isabella – Journal of Computer Assisted Learning, 2022
Background: Over recent years, interest towards the use of immersive technologies has grown in parallel with the lowering of equipment costs: educators have started embedding them into their teaching practices at different levels of the educational system, from primary school to higher education. In general, immersive technologies are seen as…
Descriptors: Educational Technology, Video Technology, Technology Uses in Education, Transfer of Training

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