iTextbooks 2023
Intelligent Textbooks 2023

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