Handbook of Artificial Intelligence in Education

This Handbook provides a comprehensive overview of the development of Artificial Intelligence in Education (AIED) from its early foundations in the 1970s to the present day. It evaluates the use of AI techniques such as modelling, machine learning, analytics, language understanding, and production to create systems that help learners, teachers, and educational administrators. The book discusses theories of affect, metacognition, and pedagogy applied in AIED systems, as well as foundational aspects of AIED architecture, design, authoring, and evaluation. It also explores collaborative learning, the use of games and psychomotor learning, and concludes with a critical discussion of the wider context of AI in Education, examining its commercialization, social and political role, and ethics. The Handbook is intended for researchers and advanced students of education technology, innovation policy, and university management, as well as undergraduate courses in AI, computer science, and education.

Format: Hardback
Length: 696 pages
Publication date: 20 April 2023
Publisher: Edward Elgar Publishing Ltd

This comprehensive Handbook delves into the evolution of Artificial Intelligence in Education (AIED), spanning from its early roots in the 1970s to the present day. It offers a comprehensive evaluation of the utilization of AI techniques, including modelling, machine learning, analytics, language understanding, and production, to develop systems aimed at enhancing learners, teachers, and educational administrators. The Handbook explores various theories of affect, metacognition, and pedagogy applied in AIED systems, as well as foundational aspects such as architecture, design, authoring, and evaluation. It also examines collaborative learning, the integration of games and psychomotor learning, and the broader context of Artificial Intelligence in Education, encompassing commercialization, social and political implications, and ethical considerations. The Handbook concludes with a critical discussion of the future prospects of AIED, exploring potential challenges and opportunities within the next 20 years.

Designed for researchers and advanced students in education technology, innovation policy, and university management, this Handbook provides a deep and insightful exploration of the current state of AIED. Its chapters are valuable resources for supporting undergraduate courses in AI, computer science, and education, fostering a better understanding of the transformative potential of AI in the field of education.

Dimension: 244 x 169 (mm)
ISBN-13: 9781800375406