Handbook of artificial intelligence in education.

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00237752%3A_____%2F25%3AN0000008" target="_blank" >RIV/00237752:_____/25:N0000008 - isvavai.cz</a>

Výsledek na webu

<a href="https://akjournals.com/view/journals/063/15/4/article-p589.xml" target="_blank" >https://akjournals.com/view/journals/063/15/4/article-p589.xml</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Handbook of artificial intelligence in education.

Popis výsledku v původním jazyce

This review provides an overview of the Handbook of Artificial Intelligence in Education, edited by du Boulay, Mitrovic, and Yacef. The book offers a comprehensive and structured examination of AIED, spanning its historical roots, theoretical foundations, system architectures, learning analytics, and practical applications across diverse educational contexts. The reviewer highlights the handbook’s balanced focus on both technological and human‑centred perspectives, emphasizing themes such as metacognition, affect, learner modelling, collaborative learning, and ethical considerations. Numerous examples of intelligent tutoring systems, open-ended learning environments, and AI‑supported assessment illustrate the field’s breadth. While the handbook does not cover recent developments in generative AI, it succeeds in presenting AIED as a multifaceted discipline extending far beyond current GPT‑based applications. Overall, the review recommends the volume as a valuable resource for educators, researchers, and practitioners seeking a deep and well-referenced introduction to AIED.

Název v anglickém jazyce

Handbook of artificial intelligence in education.

Popis výsledku anglicky

This review provides an overview of the Handbook of Artificial Intelligence in Education, edited by du Boulay, Mitrovic, and Yacef. The book offers a comprehensive and structured examination of AIED, spanning its historical roots, theoretical foundations, system architectures, learning analytics, and practical applications across diverse educational contexts. The reviewer highlights the handbook’s balanced focus on both technological and human‑centred perspectives, emphasizing themes such as metacognition, affect, learner modelling, collaborative learning, and ethical considerations. Numerous examples of intelligent tutoring systems, open-ended learning environments, and AI‑supported assessment illustrate the field’s breadth. While the handbook does not cover recent developments in generative AI, it succeeds in presenting AIED as a multifaceted discipline extending far beyond current GPT‑based applications. Overall, the review recommends the volume as a valuable resource for educators, researchers, and practitioners seeking a deep and well-referenced introduction to AIED.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

50301 - Education, general; including training, pedagogy, didactics [and education systems]

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů