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Jelle Wemmenhove; Dorina Bór; Rianne Conijn; Jim Portegies – Journal of Computer Assisted Learning, 2025
Background: Recently human-centred design plays an increasing role in learning analytics, however this approach is mostly lacking in the design and evaluation of Intelligent Tutoring Systems (ITSs). A potential way to incorporate human-centred design principles in ITS development is by adopting a service design approach. Objectives: This article…
Descriptors: Intelligent Tutoring Systems, Program Evaluation, Design, Stakeholders
Ani Grubišic; Ines Šaric-Grgic; Angelina Gašpar; Branko Žitko – Journal of Computer Assisted Learning, 2025
Background: Adaptive educational systems have gained increasing attention due to their ability to personalise educational content based on individual learner progress. Prior research highlights that intelligent tutoring systems (ITSs) and adaptive courseware models improve learning outcomes by dynamically adjusting instructional materials.…
Descriptors: Usability, Courseware, Natural Language Processing, Intelligent Tutoring Systems
Markus W. H. Spitzer; Lisa Bardach; Eileen Richter; Younes Strittmatter; Korbinian Moeller – Journal of Computer Assisted Learning, 2025
Background: Many students face difficulties with algebra. At the same time, it has been observed that fraction understanding predicts achievements in algebra; hence, gaining a better understanding of how algebra understanding builds on fraction understanding is an important goal for research and educational practice. Objectives: However, a wide…
Descriptors: Psychological Patterns, Network Analysis, Fractions, Algebra
Fateme Ashrafzade; Yousef Mahdavinasab; Nasrin Mohammadhasani; Mahsa Moradi – Journal of Computer Assisted Learning, 2025
Background: The integration of pedagogical agents (PAs) into educational settings has become widespread, yet the impact of humorous versus non-humorous PAs on student academic performance and engagement remains underexplored. Although research highlights the benefits of PAs, the specific role of humour in enhancing educational outcomes is not well…
Descriptors: Grade 5, Elementary School Students, Learner Engagement, Academic Achievement
J. Weidlich; D. Gaševic; H. Drachsler; P. Kirschner – Journal of Computer Assisted Learning, 2025
Background: As researchers rush to investigate the potential of AI tools like ChatGPT to enhance learning, well-documented pitfalls threaten the validity of this emerging research. Issues of media comparison research, where the confounding of instructional methods and technological affordances is unrecognised, may render effects uninterpretable.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Benefits, Barriers
Mingyu Feng; Natalie Brezack; Chunwei Huang; Yvonne Kao; Kelly Collins; Melissa Lee; Megan Schneider; Wynnie Chan – Journal of Computer Assisted Learning, 2025
Background: Computer-assisted educational technologies that integrate affective supports into math practices could be particularly beneficial for addressing troubling declines in middle grade students' math achievement, affect, and motivation. MathSpring is a web-based intelligent tutor that offers personalised content, remedial tutoring, and…
Descriptors: Intelligent Tutoring Systems, Technology Uses in Education, Mathematics Education, Mathematics Achievement

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