TY - GEN
T1 - Intelligent Textbooks 2026
T2 - 27th International Conference on Artificial Intelligence in Education, AIED 2026
AU - Sosnovsky, Sergey
AU - Brusilovsky, Peter
AU - Lan, Andrew S.
AU - Alpizar-Chacon, Isaac
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
PY - 2026
Y1 - 2026
N2 - Textbooks have evolved over the last several decades in many aspects. Most textbooks can be accessed online, many of them freely. They often come with libraries of supplementary educational resources or online educational services built on top of them. As a result of these enrichments, new research challenges and opportunities emerge that call for the application of AIED methods to enhance digital textbooks and learners’ interaction with them. Therefore, we ask: How can we use intelligent and adaptive technologies to facilitate access to digital textbooks and improve the learning process? What new insights about knowledge and learning can be extracted from textbook content and data-mined from the logs of students interacting with it? How can these insights be leveraged to develop improved intelligent texts? How can we leverage new language technology to manage and augment textbooks? This workshop will feature research contributions addressing these and other research questions related to intelligent textbooks. It will bring together researchers working on different aspects of learning technologies to establish intelligent textbooks as a new, interdisciplinary research field.
AB - Textbooks have evolved over the last several decades in many aspects. Most textbooks can be accessed online, many of them freely. They often come with libraries of supplementary educational resources or online educational services built on top of them. As a result of these enrichments, new research challenges and opportunities emerge that call for the application of AIED methods to enhance digital textbooks and learners’ interaction with them. Therefore, we ask: How can we use intelligent and adaptive technologies to facilitate access to digital textbooks and improve the learning process? What new insights about knowledge and learning can be extracted from textbook content and data-mined from the logs of students interacting with it? How can these insights be leveraged to develop improved intelligent texts? How can we leverage new language technology to manage and augment textbooks? This workshop will feature research contributions addressing these and other research questions related to intelligent textbooks. It will bring together researchers working on different aspects of learning technologies to establish intelligent textbooks as a new, interdisciplinary research field.
KW - adaptive presentation and navigation
KW - assessment generation
KW - content curation and enrichment
KW - digital and online textbooks
KW - generative AI
KW - intelligent textbooks
KW - interactive textbooks
KW - LLM
KW - modelling and representation of textbook content
KW - open educational resources (OER)
UR - https://www.scopus.com/pages/publications/105043887040
U2 - 10.1007/978-3-032-29794-5_28
DO - 10.1007/978-3-032-29794-5_28
M3 - Contribución a la conferencia
AN - SCOPUS:105043887040
SN - 9783032297938
T3 - Communications in Computer and Information Science
SP - 175
EP - 180
BT - Artificial Intelligence in Education. Late Breaking Results, WideAIED, Practitioners, Industry and Policies, Blue Sky, Doctoral Consortium, FoL Workshops and Tutorials, FoL Invited Papers - 27th International Conference, AIED 2026, Proceedings
A2 - Blanchard, Emmanuel G.
A2 - Chen, Guanliang
A2 - Chi, Min
A2 - Isotani, Seiji
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 27 June 2026 through 3 July 2026
ER -