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ORCIDJohn Sabatini 0001
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- affiliation: University of Memphis, Department of Psychology, TN, USA
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Journal Articles
- 2024
[j3]Arthur C. Graesser, Xiangen Hu
, John P. Sabatini, Colin M. Carmon:
Where is Ethics in the Evolution of AIED's Future? Int. J. Artif. Intell. Educ. 34(1): 92-96 (2024)- 2023
- [j2]John Sabatini, Arthur C. Graesser, John Hollander, Tenaha O'Reilly:
A framework of literacy development and how AI can transform theory and practice. Br. J. Educ. Technol. 54(5): 1174-1203 (2023) - 2020
- [j1]Su Chen, Ying Fang, Genghu Shi, John Sabatini, Daphne Greenberg, Jan C. Frijters, Arthur C. Graesser:
Automated Disengagement Tracking Within an Intelligent Tutoring System. Frontiers Artif. Intell. 3: 595627 (2020)
Conference and Workshop Papers
- 2024
- [c15]Liang Zhang, Jionghao Lin, Conrad Borchers, John Sabatini, John Hollander, Meng Cao, Xiangen Hu:
Predicting Learning Performance with Large Language Models: A Study in Adult Literacy. HCI (44) 2024: 333-353 - 2023
- [c14]John Sabatini, John Hollander:
Using Simple Text Mining Tools to Power an Intelligent Learning System for Lengthy, Domain Specific Texts. AIED (Posters/Late Breaking Results/...) 2023: 727-733 - 2022
- [c13]John Hollander, John Sabatini, Art Graesser:
How Item and Learner Characteristics Matter in Intelligent Tutoring Systems Data. AIED (2) 2022: 520-523 - [c12]Mahbubul Hasan, Lih-Yuan Deng, John Sabatini, Dale Bowman, Ching-Chi Yang, John Hollander:
Effect of Q-matrix Misspecification on Variational Autoencoders (VAE) for Multidimensional Item Response Theory (MIRT) Models Estimation. EDM 2022 - 2020
- [c11]Beata Beigman Klebanov, Anastassia Loukina, John Lockwood, Van Rynald T. Liceralde, John Sabatini, Nitin Madnani, Binod Gyawali, Zuowei Wang, Jennifer Lentini:
Detecting learning in noisy data: the case of oral reading fluency. LAK 2020: 490-495 - 2019
- [c10]Nitin Madnani, Beata Beigman Klebanov, Anastassia Loukina, Binod Gyawali, Patrick L. Lange, John Sabatini, Michael Flor:
My Turn To Read: An Interleaved E-book Reading Tool for Developing and Struggling Readers. ACL (3) 2019: 141-146 - [c9]Anastassia Loukina, Beata Beigman Klebanov, Patrick L. Lange, Yao Qian, Binod Gyawali, Nitin Madnani, Abhinav Misra, Klaus Zechner, Zuowei Wang, John Sabatini:
Automated Estimation of Oral Reading Fluency During Summer Camp e-Book Reading with MyTurnToRead. INTERSPEECH 2019: 21-25 - [c8]Beata Beigman Klebanov, Anastassia Loukina, Nitin Madnani, John Sabatini, Jennifer Lentini:
Would you?: Could you? On a tablet? Analytics of Children's eBook Reading. LAK 2019: 106-110 - 2017
- [c7]Beata Beigman Klebanov, Anastassia Loukina, John Sabatini, Tenaha O'Reilly:
Continuous fluency tracking and the challenges of varying text complexity. BEA@EMNLP 2017: 22-32 - [c6]Jill Burstein, Nitin Madnani, John Sabatini, Dan McCaffrey, Kietha Biggers, Kelsey Dreier:
Generating Language Activities in Real-Time for English Learners using Language Muse. L@S 2017: 213-215 - 2016
- [c5]Nitin Madnani, Jill Burstein, John Sabatini, Kietha Biggers, Slava Andreyev:
Language Muse: Automated Linguistic Activity Generation for English Language Learners. ACL (System Demonstrations) 2016: 79-84 - 2013
- [c4]Nitin Madnani, Jill Burstein, John Sabatini, Tenaha O'Reilly:
Automated Scoring of a Summary-Writing Task Designed to Measure Reading Comprehension. BEA@NAACL-HLT 2013: 163-168 - 2009
- [c3]Klaus Zechner, John Sabatini, Lei Chen:
Automatic Scoring of Children's Read-Aloud Text Passages and Word Lists. BEA@NAACL 2009: 10-18 - 2007
- [c2]Jill Burstein, Jane Shore, John Sabatini, Yong-Won Lee, Matthew Ventura:
Developing a Text Support Tool for English Language Learners. AIED 2007: 542-544 - [c1]Jill Burstein, Jane Shore, John Sabatini, Yong-Won Lee, Matthew Ventura:
The Automated Text Adaptation Tool. HLT-NAACL (Demonstrations) 2007: 3-4
Informal and Other Publications
- 2024
- [i2]Liang Zhang, Jionghao Lin, Conrad Borchers, John Sabatini, John Hollander, Meng Cao, Xiangen Hu:
Predicting Learning Performance with Large Language Models: A Study in Adult Literacy. CoRR abs/2403.14668 (2024) - [i1]Liang Zhang, Jionghao Lin, John Sabatini, Conrad Borchers, Daniel Weitekamp, Meng Cao, John Hollander, Xiangen Hu, Arthur C. Graesser:
Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI. CoRR abs/2409.15631 (2024)
Coauthor Index
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