Abstract
The transition of textbooks from printed copies to digital and online formats has facilitated numerous attempts to enrich them with various kinds of interactive functionalities, link them with external resources or extract valuable information from them. As a result, new research challenges and opportunities emerge that call for the application of artificial intelligence methods to enhance digital textbooks and students’ interaction with them. In this report, we summarize our workshop series on Intelligent Textbooks from 2019 to 2022. We focus on the evolution of the topics covered in the workshops’ programs and identify the main themes that have been proposed by the intelligent textbooks community.
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CITATION STYLE
Sosnovsky, S., Brusilovsky, P., & Lan, A. (2022). Intelligent Textbooks: Themes and Topics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13356 LNCS, pp. 111–114). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-11647-6_19
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