Developing a Text Support Tool for English Language Learners. - Jill Burstein; Jane Shore; John Sabatini 001; Yong-Won Lee; Matthew Ventura (AIED, 2007)

The Automated Text Adaptation Tool. - Jill Burstein; Jane Shore; John Sabatini 001; Yong-Won Lee; Matthew Ventura (HLT-NAACL (Demonstrations), 2007)

Automatic Scoring of Children's Read-Aloud Text Passages and Word Lists. - Klaus Zechner; John Sabatini 001; Lei Chen 004 (BEA@NAACL, 2009)

Automated Scoring of a Summary-Writing Task Designed to Measure Reading Comprehension. - Nitin Madnani; Jill Burstein; John Sabatini 001; Tenaha O'Reilly (BEA@NAACL-HLT, 2013)

Language Muse: Automated Linguistic Activity Generation for English Language Learners. - Nitin Madnani; Jill Burstein; John Sabatini 001; Kietha Biggers; Slava Andreyev (ACL (System Demonstrations), 2016)

Continuous fluency tracking and the challenges of varying text complexity. - Beata Beigman Klebanov; Anastassia Loukina; John Sabatini 001; Tenaha O'Reilly (BEA@EMNLP, 2017)

Generating Language Activities in Real-Time for English Learners using Language Muse. - Jill Burstein; Nitin Madnani; John Sabatini 001; Dan McCaffrey; Kietha Biggers; Kelsey Dreier (L@S, 2017)

My Turn To Read: An Interleaved E-book Reading Tool for Developing and Struggling Readers. - Nitin Madnani; Beata Beigman Klebanov; Anastassia Loukina; Binod Gyawali; Patrick L. Lange; John Sabatini 001; Michael Flor (ACL (3), 2019)

Automated Estimation of Oral Reading Fluency During Summer Camp e-Book Reading with MyTurnToRead. - Anastassia Loukina; Beata Beigman Klebanov; Patrick L. Lange; Yao Qian; Binod Gyawali; Nitin Madnani; Abhinav Misra; Klaus Zechner; Zuowei Wang; John Sabatini 001 (INTERSPEECH, 2019)

Would you?: Could you? On a tablet? Analytics of Children's eBook Reading. - Beata Beigman Klebanov; Anastassia Loukina; Nitin Madnani; John Sabatini 001; Jennifer Lentini (LAK, 2019)

Detecting learning in noisy data: the case of oral reading fluency. - Beata Beigman Klebanov; Anastassia Loukina; John Lockwood; Van Rynald T. Liceralde; John Sabatini 001; Nitin Madnani; Binod Gyawali; Zuowei Wang; Jennifer Lentini (LAK, 2020)

Automated Disengagement Tracking Within an Intelligent Tutoring System. - Su Chen; Ying Fang; Genghu Shi; John Sabatini 001; Daphne Greenberg; Jan C. Frijters; Arthur C. Graesser (Frontiers Artif. Intell., 2020)

How Item and Learner Characteristics Matter in Intelligent Tutoring Systems Data. - John Hollander; John Sabatini 001; Art Graesser (AIED (2), 2022)

Effect of Q-matrix Misspecification on Variational Autoencoders (VAE) for Multidimensional Item Response Theory (MIRT) Models Estimation. - Mahbubul Hasan; Lih-Yuan Deng; John Sabatini 001; Dale Bowman; Ching-Chi Yang; John Hollander (EDM, 2022)

Using Simple Text Mining Tools to Power an Intelligent Learning System for Lengthy, Domain Specific Texts. - John Sabatini 001; John Hollander (AIED (Posters/Late Breaking Results/...), 2023)

A framework of literacy development and how AI can transform theory and practice. - John Sabatini 001; Arthur C. Graesser; John Hollander; Tenaha O'Reilly (Br. J. Educ. Technol., 2023)

Predicting Learning Performance with Large Language Models: A Study in Adult Literacy. - Liang Zhang; Jionghao Lin; Conrad Borchers; John Sabatini 001; John Hollander; Meng Cao; Xiangen Hu (HCI (44), 2024)

Where is Ethics in the Evolution of AIED's Future? - Arthur C. Graesser; Xiangen Hu; John P. Sabatini; Colin M. Carmon (Int. J. Artif. Intell. Educ., 2024)

Exploring the Potential of Large Language Models for Estimating the Reading Comprehension Question Difficulty. - Yoshee Jain; John Hollander; Amber He; Sunny Tang; Liang Zhang; John Sabatini 001 (HCI (47), 2025)

Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI. - Liang Zhang; Jionghao Lin; John Sabatini 001; Conrad Borchers; Daniel Weitekamp III; Meng Cao; John Hollander; Xiangen Hu; Arthur C. Graesser (IEEE Trans. Learn. Technol., 2025)

Generative Data Imputation for Sparse Learner Performance Data Using Generative Adversarial Imputation Networks. - Liang Zhang; Jionghao Lin; John Sabatini 001; Diego Zapata-Rivera; Carol Forsyth; Yang Jiang; John Hollander; Xiangen Hu; Arthur C. Graesser (CoRR, 2025)