John Sabatini

According to our database, John Sabatini authored at least 19 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI.

Liang Zhang, Jionghao Lin, John Sabatini, Conrad Borchers, Daniel Weitekamp, Meng Cao, John Hollander, Xiangen Hu, Arthur C. Graesser

CoRR, 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

Predicting Learning Performance with Large Language Models: A Study in Adult Literacy.

Liang Zhang, Jionghao Lin, Conrad Borchers, John Sabatini, John Hollander, Meng Cao, Xiangen Hu

Proceedings of the Adaptive Instructional Systems, 2024

2023

A framework of literacy development and how AI can transform theory and practice.

John Sabatini, Arthur C. Graesser, John Hollander, Tenaha O'Reilly

Br. J. Educ. Technol., September, 2023

Using Simple Text Mining Tools to Power an Intelligent Learning System for Lengthy, Domain Specific Texts.

John Sabatini, John Hollander

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

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, Dale Bowman, Ching-Chi Yang, John Hollander

Proceedings of the 15th International Conference on Educational Data Mining, 2022

How Item and Learner Characteristics Matter in Intelligent Tutoring Systems Data.

John Hollander, John Sabatini, Art Graesser

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

2020

Automated Disengagement Tracking Within an Intelligent Tutoring System.

Su Chen, Ying Fang, Genghu Shi, John Sabatini, Daphne Greenberg, Jan C. Frijters, Arthur C. Graesser

Frontiers Artif. Intell., 2020

Detecting learning in noisy data: the case of oral reading fluency.

Beata Beigman Klebanov, Anastassia Loukina, John Lockwood, Van Rynald T. Liceralde, John Sabatini, Nitin Madnani, Binod Gyawali, Zuowei Wang, Jennifer Lentini

Proceedings of the LAK '20: 10th International Conference on Learning Analytics and Knowledge, 2020

2019

Would you?: Could you? On a tablet? Analytics of Children's eBook Reading.

Beata Beigman Klebanov, Anastassia Loukina, Nitin Madnani, John Sabatini, Jennifer Lentini

Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 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

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

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, Michael Flor

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2017

Generating Language Activities in Real-Time for English Learners using Language Muse.

Jill Burstein, Nitin Madnani, John Sabatini, Dan McCaffrey, Kietha Biggers, Kelsey Dreier

Proceedings of the Fourth ACM Conference on Learning @ Scale, 2017

Continuous fluency tracking and the challenges of varying text complexity.

Beata Beigman Klebanov, Anastassia Loukina, John Sabatini, Tenaha O'Reilly

Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications, 2017

2016

Language Muse: Automated Linguistic Activity Generation for English Language Learners.

Nitin Madnani, Jill Burstein, John Sabatini, Kietha Biggers, Slava Andreyev

Proceedings of ACL-2016 System Demonstrations, Berlin, Germany, August 7-12, 2016, 2016

2013

Automated Scoring of a Summary-Writing Task Designed to Measure Reading Comprehension.

Nitin Madnani, Jill Burstein, John Sabatini, Tenaha O'Reilly

Proceedings of the Eighth Workshop on Innovative Use of NLP for Building Educational Applications, 2013

2009

Automatic Scoring of Children's Read-Aloud Text Passages and Word Lists.

Klaus Zechner, John Sabatini, Lei Chen

Proceedings of the Fourth Workshop on Innovative Use of NLP for Building Educational Applications, 2009

2007

The Automated Text Adaptation Tool.

Jill Burstein, Jane Shore, John Sabatini, Yong-Won Lee, Matthew Ventura

Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2007

Developing a Text Support Tool for English Language Learners.

Jill Burstein, Jane Shore, John Sabatini, Yong-Won Lee, Matthew Ventura

Proceedings of the Artificial Intelligence in Education, 2007