iTextbooks 2025
Intelligent Textbooks 2025

Table of Contents

• Preface
  Summary: There were 8 papers submitted for peer-review to this workshop. Out of these, 6 papers were accepted for this volume, 3 as regular papers and 3 as short papers.

Session 1

• AI-driven Interactive Hierarchical Concept Maps for Digital Learning Environments and Intelligent Textbooks 3-16
  Sergiy Tytenko
• AI Enhanced Intelligent Texts and Learning Gains 17-24
  Scott Crossley, Joon Suh Choi, Wesley Morris, Langdon Holmes, David Joyner
• LLM-powered Framework for Automatic Generation of Metacognitive Scaffolding Cues for Introductory Programming in Higher Education 25-36
  Anushka Durg, Can Kultur, Adam Zhang, Jaromir Savelka

Session 2

• Lessons from a Multimodal and Trustworthy AI System for Intelligent Textbooks 37-44
  Karan Taneja, Anjali Singh, Ashok Goel
• Improving Textbook Accessibility through AI Simplification: Readability Improvements and Meaning Preservation 45-58
  Benny Johnson, Bill Jerome, Jeffrey Dittel, Rachel Van Campenhout
• Using Digital Textbook and Classroom Data to Explore Multimodal (Audio, Visual, & Textual) LLM Retrieval Techniques 59-70
  Brian Wright, Vishwanath Guruvayur, Luke Napolitano, Doruk Ozar, Ali Rivera, Ananya Sai, Bereket Tafesse