First Workshop on Intelligent Textbooks

The 20th International Conference on Artificial Intelligence in Education (AIED’2019)

Date: June 25, 2019; Location: 2nd Floor, DePaul CDM, Chicago, IL, USA


We are happy to announce that we will be organizing a full-day workshop at AIED 2019. AIED 2019 is held in Chicago, IL, USA during June 25-29, 2019. Our workshop is located on the Second Floor of DePaul University's College of Computing and Digital Media (DePaul CDM). The location is 3-min walk from the conference hotel; please see the AIED website for details. You can also look at the map and details on the Attendify App, maintained by the conference organizers.

To help workshop attendees in exchanging information, we created an open Mendeley group. We want everyone, including workshop participants and beyond, to share relevant papers on the topic of intelligent textbooks; doing so is very important to this new and diverse field. Please share any papers and resources that you think are relevant, no matter whether they are your own or not. Thank you!

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. See here for an article published in NewScientist on intelligent textbooks with contributions from our organizers.

The workshop themes include but are not limited to:
  • Modelling 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;
  • Collaborative technologies: building and deploying social components of digital textbooks that enable learners to interact with not only content but other learners;
  • 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;
  • 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;
  • Knowledge visualization: augmenting textbooks with concept maps, open learner models and other knowledge-rich extensions;
  • 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.

Tentative Schedule

Workshop proceedings can be found here. Presentation slides are linked below.

9:00-9:30 Opening remarks

Session 1 - Analysis of Intelligent Textbooks

9:30-9:55 An Analysis of Interactive Feature Use in Two Ebooks. Barbara Ericson

9:55-10:20 Visualisation Analysis for Exploring Prerequisite Relations in Textbooks. Samuele Passalacqua, Frosina Koceva, Chiara Alzetta, Ilaria Torre and Giovanni Adorni

10:20-10:45 Reading Mirror: Social Navigation and Social Comparison for Electronic Textbooks. Jordan Barria-Pineda, Peter Brusilovsky and Daqing He

10:45-11:00 Scaffolded, Scrutable Open Learner Model (SOLM) as a foundation for personalised e-textbooks. Judy Kay and Bob Kummerfeld

11:00-11:30 Coffee break

Session 2 - Building Intelligent Textbooks

11:30-11:55 An Overview of Recent Developments in Intelligent e-Textbooks and Reading Analytics. David Boulanger and Vivekanandan Kumar

11:55-12:20 Interactive and Personalized Activity eBooks for Learning to Read: The iRead case. Nick Deligiannis, Dionysis Panagiotopoulos, Panagiotis Patsilinakos, Chrysanthi Raftopoulou and Antonios Symvonis

12:20-12:45 PASTEL: Evidence-based learning engineering method to create intelligent online textbook at scale. Noboru Matsuda and Machi Shimmei

12:45-13:00 BBookX: Creating Semi-Automated Textbooks to Support Student Learning and Decrease Student Costs. Bart Pursel, Crystal Ramsay, Nesirag Dave, Chen Liang and C. Lee Giles

13:00-14:15 Lunch break

Session 3

14:15-14:30 What’s a Textbook? Envisioning the 21st Century K-12 Text. Steven Ritter, Josh Fisher, Amy Lewis, Sandy Bartle Finocchi, Bob Hausmann and Stephen Fancsali

14:30-14:45 Student Modeling with Automatic Knowledge Component Extraction for Adaptive Textbooks. Khushboo Thaker, Peter Brusilovsky and Daqing He

14:45-15:00 Interlingua: linking textbooks across different languages. Isaac Alpizar Chacon and Sergey Sosnovsky

15:00-15:15 Tobbits Calculation Workbook: An Offline-to-Online Intelligent Textbook. Junchen Feng and Ke Li

15:15-15:30 Using a Causal Concept Map Based ITS to Add Intelligence to a Textbook for Human Anatomy. Ben Kluga, Manohar Sai Jasti, Virginia Naples and Reva Freedman

15:30-15:45 Using Programmed Instruction to Help Students Engage with eTextbook Content. Mostafa Mohammed, Susan Rodger and Clifford Shaffer

15:45-16:15 Closing discussions

Important Dates

Paper submission: May 10, 2019

Notification of acceptance: May 25, 2019

Final version of accepted papers: June 10, 2019

Workshop date: June 25, 2019

Call for Papers

Accepted papers will be presented either orally or in a poster session and included in the workshop proceedings. At this point we invite full (up to 12 pages) and short (up to 4 pages) paper submissions. Submissions should follow the Springer format. See here for details. Submission should be made in pdf format through the EasyChair system here. Submissions will be reviewed by members of the workshop program committee.

Workshop Organizers and Program Committee


Sergey Sosnovsky, Utrecht University

Peter Brusilovsky, University of Pittsburgh

Richard G. Baraniuk, Rice University

Rakesh Agrawal, Data Insights Laboratories

Andrew S. Lan, University of Massachutsetts Amherst

Program Committee

Christopher Brinton, Purdue University

Vinay Chaudhri

Barbara Ericson, University of Michigan

Brendan Flanagan, Kyoto University

Kobi Gal, Ben Gurion University

Elena Glassman, Harvard University

Phillip Grimaldi, OpenStax

Noboru Matsuda, North Carolina State University

Roger Nkambou, Université du Québec À Montréal

Xavier Ochoa, New York University

Hiroaki Ogata, Kyoto University

Cliff Shaffer, Virginia Tech

Atsushi Shimada, Kyushu University

Erin Walker, Arizona State University

Andrew Waters, OpenStax