| Vol-3444 urn:nbn:de:0074-3444-7 Copyright © 2023 for the individual papers by the papers' authors. Copyright © 2023 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# iTextbooks 2023
Intelligent Textbooks 2023

### Proceedings of the Fifth International Workshop on Intelligent Textbooks 2023
co-located with the 24th International Conference on Artificial Intelligence in Education (AIED 2023)

### Tokyo, Japan, July 3, 2023.

Edited by

### Sergey Sosnovsky *
Peter Brusilovsky **
Andrew Lan ***

* Utrecht University, Department of Information and Computing Sciences, Princetonplein 5, 3584 CC Utrecht, Netherlands
** University of Pittsburgh, School of Computing and Information, 135 North Bellefield Ave., Pittsburgh, PA 15260, USA
*** University of Massachusetts Amherst, College of Information and Computer Sciences, 140 Governors Dr., Amherst, MA 01003, USA

## Table of Contents

- Preface
  1-2 Summary: There were 16 papers submitted for peer-review to this workshop. Out of these, 9 papers were accepted for this volume, 6 as regular papers and 3 as short papers.

### Session 1: Textbook usage analysis

- Analyzing Student Session Data in an eTextbook 3-14
  Samnyeong Heo, Mohammed Farghally, Mostafa Mohammed, Clifford Shaffer
- Advancing Intelligent Textbooks with Automatically Generated Practice: A Large-Scale Analysis of Student Data 15-26
  Rachel Van Campenhout, Michelle Clark, Bill Jerome, Jeffrey Dittel, Benny Johnson

### Session 2: Crowdsourcing

- Exploring the Content Ecosystem of the First Open-source Adaptive Tutor and its Applications on Intelligent Textbooks 27-36
  Ioannis Anastasopoulos

### Session 3: Textbook content analysis

- Layout and Activity-based Textbook Modeling for Automatic PDF Textbook Extraction 37-53
  Élise Lincker, Olivier Pons, Camille Guinaudeau, Isabelle Barbet, Jérôme Dupire, Céline Hudelot, Vincent Mousseau, Caroline Huron
- Eliminating Hallucinations: GPT-based Explanatory AI for Intelligent Textbooks and Documentation 54-65
  Francesco Sovrano, Kevin Ashley, Alberto Bacchelli
- Harnessing Textbooks for High-Quality Labeled Data: An Approach to Automatic Keyword Extraction 66-77
  Lorenzo Pozzi, Isaac Alpizar-Chacon, Sergey Sosnovsky

### Session 4: Demos

- Digitalizing educational workbooks and collecting handwritten answers for automatic scoring 78-87
  Tomo Asakura, Hung Nguyen, Nghia Truong, Nam Ly, Cuong Nguyen, Hiroshi Miyazawa, Yoichi Tsuchida, Takahiro Yamamoto, Masamitsu Ito, Toshihiko Horie, Fumiko Yasuno, Tsunenori Ishioka, Kokoro Kobayashi, Ikuko Shimizu, Masaki Nakagawa
- Converting Physical Textbooks into Interactive and Immersive ‘Phygital’ Textbooks: A Proposed System Architecture Design for Textbook Companion Apps 88-93
  Devanshu Saindane, Sunny Prakash Prajapati, Syaamantak Das
- Curio: An On-Demand Help-Seeking System on iTextbooks for Accelerating Research on Educational Recommendation Algorithms 94-101
  Ying-Jui Tseng, Yu-Hsin Lin, Gautam Yadav, Norman Bier, Vincent Aleven

2023-07-09: submitted by Sergey Sosnovsky, metadata incl. bibliographic data published under Creative Commons CC0
2023-07-19: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|