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AI in Education, Volume 2, Issue 1

2026 March - 4 articles

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Articles (4)

  • Review
  • Open Access
486 Views
21 Pages

Open-Source Large Language Models in Education: A Narrative Review of Evidence, Pedagogical Roles, and Learning Outcomes

  • Michael Pin-Chuan Lin,
  • Jing-Yuan Huang,
  • Daniel H. Chang,
  • Gerald Tembrevilla,
  • G. Michael Bowen,
  • Eric Poitras,
  • Vasudevan Janarthanan and
  • Jeeho Ryoo

27 February 2026

Open-source large language models (LLMs) are increasingly explored in educational contexts due to their transparency, adaptability, and alignment with institutional governance and equity considerations. Despite growing interest, empirical research on...

  • Tutorial
  • Open Access
568 Views
19 Pages

9 February 2026

With the rise of social media and the sharing of information, as well as the use of AI tools like ChatGPT in education, the ability to evaluate information credibility has become a crucial skill. The CREDIBLE framework, standing for Credibility, Reli...

  • Article
  • Open Access
1,171 Views
13 Pages

2 February 2026

This study provides direct evidence from university professors’ experiences regarding the key features they use to identify artificial intelligence (AI)–generated texts and ranks these features by their perceived importance. The research...

  • Article
  • Open Access
427 Views
28 Pages

22 January 2026

Understanding how learners process data visualizations with seductive details is essential for improving comprehension and engagement. This study examined the influence of task-relevant and task-irrelevant seductive details on attentional distributio...

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AI Educ. - ISSN 3042-8130