Integrating Artificial Intelligence in Education: Pedagogical Foundations, Benefits, Risks, and Strategic Pathways

DOI

10.2991/978-2-38476-599-7_17How to use a DOI?

Keywords

Artificial Intelligence in Education; Adaptive Learning; Intelligent Tutoring Systems; Learning Analytics; Generative AI; AI Literacy; Digital Transformation; AI Governance; Educational Innovation

Abstract

This chapter provides a structured analysis of Artificial Intelligence (AI) in education by examining its conceptual foundations, principal applications, benefits, risks, and strategic conditions for sustainable adoption. It introduces key AI domains - including machine learning, natural language processing, intelligent tutoring systems, learning analytics, expert systems, computer vision, multimodal AI, and generative AI - and relates them to pedagogical and institutional objectives. The chapter highlights how AI can support personalized learning, immediate feedback, early identification of at-risk learners, accessibility, teacher productivity, and data-informed institutional decision-making. At the same time, it critically addresses challenges linked to algorithmic bias, privacy and surveillance, academic integrity, teacher readiness, digital inequality, reliability, and governance gaps. The chapter concludes with a phased, human-centered framework for AI integration that emphasizes pedagogical alignment, institutional readiness, ethical governance, capacity building, assessment redesign, stakeholder trust, and continuous improvement.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits any noncommercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if you modified the licensed material. You do not have permission under this license to share adapted material derived from this chapter or parts of it.

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TY  - CONF
AU  - Daniel Hunyadi
AU  - Daniel Mara
AU  - Mihaela-Alina Vanu
PY  - 2026
DA  - 2026/07/31
TI  - Integrating Artificial Intelligence in Education: Pedagogical Foundations, Benefits, Risks, and Strategic Pathways
BT  - Proceedings of the International Conference on Management and Entrepreneurial Leadership for K-12 Education Excellence (LEADK12 2026)
PB  - Atlantis Press
SP  - 273
EP  - 297
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-599-7_17
DO  - 10.2991/978-2-38476-599-7_17
ID  - Hunyadi2026
ER  -