Recent Advances in Intelligent Textbooks for Better Learning

Resource type
Book Section
Authors/contributors
Title
Recent Advances in Intelligent Textbooks for Better Learning
Abstract
Intelligent textbooks are a new form of digital textbooks that provides students with intelligent learning services, such as automatic question answering, adaptive navigation support, automatic linking, and personalized recommendation. Educators are investing much effort into the conversion of their paper-based textbooks and digital textbooks into intelligent textbooks. This chapter provides a brief introduction to the development of intelligent textbooks and reviews major adaptive technologies and the usage of intelligent textbooks in the past decade. We first summarize the development of intelligent textbooks and the existing authoring platforms. Then, the key intelligent technologies used in the intelligent textbooks are reviewed, including domain modeling, student modeling, and instruction technologies. Moreover, the empirical studies conducted to evaluate intelligent textbooks are summarized. This chapter would promote understanding of the current state of the technology and platform development of intelligent textbooks.
Book Title
AI in Learning: Designing the Future
Place
Cham
Publisher
Springer International Publishing
Date
2023
Pages
247-261
Language
en
ISBN
978-3-031-09687-7
Accessed
23/02/2024, 23:57
Library Catalogue
Springer Link
Citation
Jiang, B., Gu, M., & Du, Y. (2023). Recent Advances in Intelligent Textbooks for Better Learning. In H. Niemi, R. D. Pea, & Y. Lu (Eds.), AI in Learning: Designing the Future (pp. 247–261). Springer International Publishing. https://doi.org/10.1007/978-3-031-09687-7_15