John Hollander

According to our database, John Hollander authored at least 12 papers between 2015 and 2025.

Collaborative distances:

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

2025

Generative Data Imputation for Sparse Learner Performance Data Using Generative Adversarial Imputation Networks.

Liang Zhang, Jionghao Lin, John Sabatini, Diego Zapata-Rivera, Carol Forsyth, Yang Jiang, John Hollander, Xiangen Hu, Arthur C. Graesser

CoRR, March, 2025

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

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

IEEE Trans. Learn. Technol., 2025

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

Proceedings of the Adaptive Instructional Systems, 2025

2024

Raising the Roof: Situating Verbs in Symbolic and Embodied Language Processing.

John Hollander, Andrew Olney

Cogn. Sci., April, 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

The spatial role of verbs in embodied language processing.

John Hollander, Andrew Olney

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 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

2021

Vertical directionality ratings as lexical norms for English verbs.

John Hollander, Andrew Olney

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2015

Comparative Evaluation of Top-N Recommenders in e-Commerce: An Industrial Perspective.

Dimitris Paraschakis, Bengt J. Nilsson, John Hollander

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015