Advanced International Journal for Research

E-ISSN: 3048-7641   •   Impact Factor: 9.11

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Volume 7 Issue 2
March-April 2026

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Understandable Artificial Intelligence in Teaching

Author(s) Dr. Suresh Kumar Pandey, Dr. Vivek Kumar Pandey
Country India
Abstract There are developing fears about the Fair-mindedness, Answerability, Transparency, and Integrity of informative intrusions maintained through the usage of Artificial Intelligence processes. One of the developing approaches for collective confidence in AI systems is to use eXplainable AI (XAI), which helps the use of approaches that yield see-through descriptions and reasons for decisions AI arrangements make. Since the existing literature on XAI, this paper maintains that XAI in teaching has unities with the larger use of AI but also has characteristic needs. Therefore, we initial current a background, discussed to for example XAI-ED, that educations six vital features in relative to explain ability for learning, scheming and evolving informative AI tools. These key features focus on the participants, assistances, approaches for presenting descriptions, broadly used classes of AI representations, human-centred strategies of the AI interfaces and possible drawbacks of as long as elucidations within teaching. We formerly current four comprehensive case trainings that prove the application of eXplainable AI-ED in quatern diverse informative Artificial Intelligence tools. The paper concludes by conversing prospects, contests and upcoming study needs for the current incorporation of XAI in teaching.
Keywords Artificial intelligence (AI), AI in education (AIED), eXplainable AI (XAI).
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 7, Issue 2, March-April 2026
Published On 2026-03-21
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E-ISSN 3048-7641
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