Format:
1 Online-Ressource (xviii, 678 Seiten)
,
Illustrationen, Diagramme
ISBN:
9781800375413
Series Statement:
Elgar Handbooks in Education
Content:
Front Matter -- Copyright -- Contents -- Figures -- Tables -- Contributors -- Foreword -- PART I SCENE SETTING -- 1. Introduction to the Handbook of Artificial Intelligence in Education -- 2. The history of artificial intelligence in education - the first quarter century -- PART II THEORIES UNDERPINNING AIED -- 3. The role and function of theories in AIED -- 4. Theories of metacognition and pedagogy applied to AIED systems -- 5. Theories of affect, meta-affect, and affective pedagogy -- 6. Scrutable AIED -- PART III THE ARCHITECTURE AND DESIGN OF AIED SYSTEMS -- 7. Domain modeling for AIED systems with connections to modeling student knowledge: a review -- 8. Student modeling in open-ended learning environments -- 9. Six instructional approaches supported in AIED systems -- 10. Theory-driven design of AIED systems for enhanced interaction and problem-solving -- 11. Deeper learning through interactions with students in natural language -- 12. Authoring tools to build AIED systems -- PART IV ANALYTICS -- 13. Continuous student modeling for programming in the classroom: challenges, methods, and evaluation -- 14. Human-AI co-orchestration: the role of artificial intelligence in orchestration -- 15. Using learning analytics to support teachers -- 16. Predictive modeling of student success -- 17. Social analytics to support engagement with learning communities -- PART V AIED SYSTEMS IN USE -- 18. Intelligent systems for psychomotor learning: a systematic review and two cases of study -- 19. Artificial intelligence techniques for supporting face-to-face and online collaborative learning -- 20. Digital learning games in artificial intelligence in education (AIED): a review -- 21. Artificial intelligence-based assessment in education -- 22. Evaluations with AIEd systems -- 23. Large-scale commercialization of AI in school-based environments.
Content:
"Gathering insightful and stimulating contributions from leading global experts in Artificial Intelligence in Education (AIED), this comprehensive Handbook traces the development of AIED from its early foundations in the 1970s to the present day. The Handbook evaluates the use of AI techniques such as modelling in closed and open domains, machine learning, analytics, language understanding and production to create systems aimed at helping learners, teachers, and educational administrators. Chapters examine theories of affect, metacognition and pedagogy applied in AIED systems; foundational aspects of AIED architecture, design, authoring and evaluation; and collaborative learning, the use of games and psychomotor learning. It concludes with a critical discussion of the wider context of Artificial Intelligence in Education, examining its commercialisation, social and political role, and the ethics of its systems, as well as reviewing the possible challenges and opportunities for AIED in the next 20 years. Providing a broad yet detailed account of the current field of Artificial Intelligence in Education, researchers and advanced students of education technology, innovation policy, and university management will benefit from this thought-provoking Handbook. Chapters will also be useful to support undergraduate courses in AI, computer science, and education"--
Additional Edition:
ISBN 9781800375406
Additional Edition:
Erscheint auch als Druck-Ausgabe Handbook of artificial intelligence in education Cheltenham : Edward Elgar Publishing, 2023 ISBN 9781800375406
Language:
English
Subjects:
Computer Science
,
Education
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