Vol-2674
urn:nbn:de:0074-2674-1

Copyright © 2020 for the individual papers by the papers' authors. Copyright © 2020 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 2020
Intelligent Textbooks 2020

Proceedings of the Second International Workshop on Intelligent Textbooks 2020
co-located with 21st International Conference on Artificial Intelligence in Education (AIED 2020)

Online, July 06, 2020.

Edited by

Sergey Sosnovsky *
Peter Brusilovsky
Richard Baraniuk *
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
*** Rice University, Department of Electrical and Computer Engineering, 6100 Main Street Houston, TX 77005, USA
**** University of Massachusetts Amherst, College of Information and Computer Sciences, 140 Governors Dr., Amherst, MA 01003, USA

Table of Contents

Preface 1-3

Session 1: Textbook Analysis and Representation

Transformation of PDF Textbooks into Intelligent Educational Resources 4-16
Isaac Alpizar-Chacon, Max van der Hart, Zef S. Wiersma, Lorenzo Theunissen, Sergey Sosnovsky
Automated Matching of ITS Problems with Textbook Content 17-28
Jeffrey Matayoshi, Christopher Lechuga
Digging Into Prerequisite Annotation 29-34
Chiara Alzetta, Ilenia Galluccio, Frosina Koceva, Samuele Passalacqua, Ilaria Torre

Session 2: Textbook Analysis and Enrichment

The Mobile Fact and Concept Textbook System (MoFaCTS) 35-49
Philip I. Pavlik Jr., Andrew M. Olney, Amanda Banker, Luke Eglington, Jeffrey Yarbro
Using Knowledge Graph for Explainable Recommendation of External Content in Electronic Textbooks 50-61
Behnam Rahdari, Peter Brusilovsky, Khushboo Thaker, Jordan Barria-Pineda
Using Digital Textbooks as Knowledge Base to Detect Student Idea Development in Collaborative Discourse (short paper) 62-66
Jiuning Zhong, Guangji Yuan, Jianwei Zhang, Mei-Hwa Chen

Session 3: Textbook Adaptation

Inferring Student Comprehension from Highlighting Patterns in Digital Textbooks: An Exploration in an Authentic Learning Platform 67-79
David Kim, Adam Winchell, Andrew Waters, Phillip Grimaldi, Richard Baraniuk, Michael Mozer
LiveHint: Intelligent Digital Support for Analog Learning Experiences 80-89
Joshua Fisher, Stephen Fancsali, Amy Lewis, Victoria Fisher, Robert Hausmann, Martina Pavelko, Sandy Bartle Finocchi, Steven Ritter
Learning Objects Based Adaptive Textbooks with Dynamic Traversal for Quantum Cryptography 90-102
Vidya Bommanapally, Mahadevan Subramaniam, Abhishek Parakh, Parvathi Chundi, Venkata Meghana Puppala

2020-08-14: submitted by Sergey Sosnovsky, metadata incl. bibliographic data published under Creative Commons CC0
2020-09-16: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|