Jeffrey Matayoshi

According to our database, Jeffrey Matayoshi authored at least 16 papers between 2018 and 2024.

Collaborative distances:

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

2024

An Evaluation of a Placement Assessment for an Adaptive Learning System.

Jeffrey Matayoshi, Eric Cosyn, Christopher Lechuga, Hasan Uzun

Proceedings of the 17th International Conference on Educational Data Mining, 2024

2023

Analyzing Response Times and Answer Feedback Tags in an Adaptive Assessment.

Jeffrey Matayoshi, Hasan Uzun, Eric Cosyn

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

Using a Randomized Experiment to Compare the Performance of Two Adaptive Assessment Engines.

Jeffrey Matayoshi, Hasan Uzun, Eric Cosyn

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

Does Practice Make Perfect? Analyzing the Relationship Between Higher Mastery and Forgetting in an Adaptive Learning System.

Jeffrey Matayoshi, Eric Cosyn, Hasan Uzun

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

2021

Are We There Yet? Evaluating the Effectiveness of a Recurrent Neural Network-Based Stopping Algorithm for an Adaptive Assessment.

Jeffrey Matayoshi, Eric Cosyn, Hasan Uzun

Int. J. Artif. Intell. Educ., 2021

Using Marginal Models to Adjust for Statistical Bias in the Analysis of State Transitions.

Jeffrey Matayoshi, Shamya Karumbaiah

Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021

Investigating the Validity of Methods Used to Adjust for Multiple Comparisons in Educational Data Mining.

Jeffrey Matayoshi, Shamya Karumbaiah

Proceedings of the 14th International Conference on Educational Data Mining, 2021

Evaluating the Impact of Research-Based Updates to an Adaptive Learning System.

Jeffrey Matayoshi, Eric Cosyn, Hasan Uzun

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

Pre-course Prediction of At-Risk Calculus Students.

James Cunningham, Raktim Mukhopadhyay, Rishabh Ranjit Kumar Jain, Jeffrey Matayoshi, Eric Cosyn, Hasan Uzun

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2020

Well-Graded Families and the Union-Closed Sets Conjecture.

Jeffrey Matayoshi

Electron. J. Comb., 2020

Studying Retrieval Practice in an Intelligent Tutoring System.

Jeffrey Matayoshi, Hasan Uzun, Eric Cosyn

Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

Automated Matching of ITS Problems with Textbook Content.

Jeffrey Matayoshi, Christopher Lechuga

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

2019

A Data-Based Simulation Study of Reliability for an Adaptive Assessment Based on Knowledge Space Theory.

Christopher Doble, Jeffrey Matayoshi, Eric Cosyn, Hasan Uzun, Arash Karami

Int. J. Artif. Intell. Educ., 2019

Deep (Un)Learning: Using Neural Networks to Model Retention and Forgetting in an Adaptive Learning System.

Jeffrey Matayoshi, Hasan Uzun, Eric Cosyn

Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

Using Recurrent Neural Networks to Build a Stopping Algorithm for an Adaptive Assessment.

Jeffrey Matayoshi, Eric Cosyn, Hasan Uzun

Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

2018

Forgetting curves and testing effect in an adaptive learning and assessment system.

Jeffrey Matayoshi, Umberto Granziol, Christopher Doble, Hasan Uzun, Eric Cosyn

Proceedings of the 11th International Conference on Educational Data Mining, 2018