Fifth Workshop on Intelligent Textbooks (iTextbooks)
The 24th International Conference on Artificial Intelligence in Education (AIED’2023)
Call for Papers and Demos
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 to facilitate the access to textbooks and improve the reading process? What can be extracted from textbook content and data-mined from the logs of students interacting with it? This workshop seeks research contributions addressing these and other research questions related to the idea of intelligent textbooks. It aims at bringing together researchers working on different aspects of learning technologies to establish intelligent textbooks as a new, interdisciplinary research field.
Topics of Interest
- Modeling and representation of textbooks: examining the prerequisite and semantic structure of textbooks to enhance their readability;
- Analysis and mining of textbook usage logs: analyzing the patterns of learners’ use of textbooks to obtain insights on learning and the pedagogical value of textbook content;
- Generation, manipulation, and presentation: exploring and testing different formats and forms of textbook content to find the most effective means of presenting different knowledge;
- Assessment and personalization: developing methods that can generate assessments and enhance textbooks with adaptive support to meet the needs of every learner using the textbook;
- Knowledge visualization: augmenting textbooks with concept maps, open learner models and other knowledge-rich extensions;
- Collaborative technologies: building and deploying social components of digital textbooks that enable learners to interact with not only content but other learners;
- Smart interactive content: extending online textbooks with various kinds of smart interactive Content to improve learning, engagement, learned modeling, and personalization;
- Intelligent information retrieval and question-answering for digital textbooks;
- Content curation and enrichment: sorting through external resources on the web and finding the relevant resources to augment the textbook and provide additional information for learners.
May 12, 2023 May 19, 2023
Notification of acceptance:
Jun 02, 2023 Jun 09, 2023
Final version of accepted papers: June 23, 2023
- Accepted papers will be presented orally and included in the workshop proceedings.
- At this point we invite full (up to 12 pages) short (up to 6 pages) paper submissions.
- Submissions should follow the 1-column CEUR-ART style.
- The docx template can be downloaded from:
- The general Overleaf page for LaTeX users is available at: .
- Submission should be made in pdf format through the EasyChair system ( ).
- Submissions will be reviewed by members of the workshop program committee.
- The program will include a mixture of paper presentations and demonstrations of iTextbooks systems and services.
- All accepted publications will appear in the workshop proceedings published as a CEUR-WS volume.
- See the volumes of the two previous workshops here: | | |
, Utrecht University
, University of Pittsburgh
, University of Massachutsetts Amherst
Isaac Alpizar Chacon (Utrecht University & Instituto Tecnológico de Costa Rica)
Debshila Basu Mallick (OpenStax, Rice University)
Peter Brusilovsky (University of Pittsburgh)
Paulo Carvalho (Carnegie Mellon University)
Brendan Flanagan (Kyoto University)
Reva Freedman (Northern Illinois University)
Benny Johnson (VitalSource Technologies)
Andrew Lan (University of Massachusetts Amherst)
Noboru Matsuda (North Carolina State University)
Roger Nkambou (Université du Québec à Montréal)
Andrew Olney (University of Memphis)
Philip Pavlik (University of Memphis)
Cliff Shaffer (Virginia Tech)
Sergey Sosnovsky (Utrecht University)
Khushboo Thaker (University of Pittsburgh)
Ilaria Torre (University of Genoa)
09:00 - 09:30 Intro
09:30 - 10:30 Session 1 (Textbook usage analysis)
10:30 - 11:00 Coffee break
11:00 - 12:30 Session 2 (Invited talk + crowdsourcing)
12:30 - 13:20 Lunch break
13:20 - 14:50 Session 3 (Textbook content analysis)
14:50 - 15:20 Coffee break
15:20 - 16:40 Session 4 (Demos)