iTextbooks 2026
Intelligent Textbooks 2026

Table of Contents

• Preface
  Summary: There were 13 papers submitted for peer-review to this workshop. Out of these, 9 papers were accepted for this volume, 4 as regular papers, 4 as short papers, and 1 as a demo.

Session 1: Interaction with Textbooks

• LLM feedback isn’t automatically better: Static scaffolds outperform dynamic feedback in textbook-embedded practice 4-18
  Benny G. Johnson, Jeffrey S. Dittel, Oscar J. Ortiz, Rodrigo Bistolfi, Michelle W. Clark, Bill Jerome, Richard Benton, Rachel Van Campenhout
• Balancing Efficacy and Engagement in Interactive Texts (short paper) 19-25
  Jonah Bard

Session 2: Question Generation

• From concepts to learning objectives to questions: a pedagogically-aware prompting pipeline to generate questions from textbooks 26-36
  Sergey Sosnovsky, Keyang He, Andre Bekema

Session 3: Textbook Quality and Enrichment

• Mitigating the “Triple Burden”: Grade-Level Translation of Science Texts Using Multiagent Systems and Prompt Optimization 37-50
  Joel Walsh, Oscar Arenas, Ashley Marquez, Karina Méndez Pérez, Benjamin Nye
• InkSpire: An LLM-Powered System for Designing and Generating Disciplinarily Aligned and Context-Aware Reading Scaffolds (short paper) 51-59
  Yuwei Liang, Ruiqian Wang, Bodong Chen
• Automated Textbook Auditing with Multi-Agent LLM Systems (short paper) 60-66
  Ciprian Cristescu, Adrian-Marius Dumitran, Angela-Liliana Dumitran, Gabriel Stefan,
• Embedding In-Browser Linux Labs as Smart Content for Intelligent Textbooks (demo / poster paper) 67-72
  Andrzej Wójtowicz

Session 4: Beyond Text in Textbooks

• Representing Image-Required Mathematics for Intelligent Textbooks: A Controlled Comparison of Diagram Encodings 73-86
  Ethan Croteau, Neil Heffernan
• Textbook-Informed Lecture Video Segmentation for Fine-Grained OER Reuse (short paper) 87-94
  Zhaoyi Shi, Lubna Ali, Ulrik Schroeder