Editorial: Artificial intelligence for technology enhanced learning
Abstract
Together, these papers show that technical innovation in TEL is increasingly centered on adaptive architectures, multimodal knowledge representation, efficient assessment generation, LLM evaluation, and human-centered interaction design.A second group of papers examines how AI systems are applied in authentic educational contexts to support personalized learning, adaptive feedback, self-regulated learning, and assessment.Zhang et al. review the current status and future prospects of AI in residency training. They highlight the role of AI-assisted systems in personalized teaching, adaptive learning pathways, and real-time feedback, especially in skills-based medical education.Ou, Nogueira, and Qin investigate AI-assisted music practice applications for trainee violinists.Their study shows that intelligent practice tools can improve technical performance, selfefficacy, and self-regulated learning behaviors. The paper demonstrates how AI can support learner autonomy and sustained engagement in artistic training. Hadzhikoleva, Hadzhikolev, Gaftandzhieva, and Pashev propose a conceptual framework for multi-component summative assessment in e-learning environments. By integrating Bloom's taxonomy, fuzzy logic, and generative AI, they aim to improve transparency, adaptability, and pedagogical grounding in digital assessment.Nguyen and Nguyen examine AI-assisted academic cheating among postgraduate students. Their conceptual model identifies policy ambiguity, academic pressure, and…
How strong is the evidence?
Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 2 of 5 (High · randomized trial). Randomized trials of a reasonable size are the strongest single-study design.
Read the paper
Related studies
- Knowledge Management Perspective of Generative Artificial Intelligence
- Navigating Generative Artificial Intelligence Promises and Perils for Knowledge and Creative Work
- Characterizing the evolving research on enterprise content management
- Large language models and multimodal foundation models for precision oncology
- From Generative AI to Extended Reality: Multidisciplinary Perspectives on the Challenges, Opportunities, and Future of Educational Computing
- Generative Artificial Intelligence: A New Engine for Advancing Environmental Science and Engineering
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.