Jeffrey Matayoshi

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 15

Top Topics

Educational Data Mining

Adaptive Learning

Simulation Study

Top Venues

Int. J. Artif. Intell. Educ.

Publications

Jeffrey Matayoshi, Hasan Uzun, Eric Cosyn
Analyzing Response Times and Answer Feedback Tags in an Adaptive Assessment. AIED (Posters/Late Breaking Results/...) (2023)
Jeffrey Matayoshi, Eric Cosyn, Hasan Uzun
Does Practice Make Perfect? Analyzing the Relationship Between Higher Mastery and Forgetting in an Adaptive Learning System. EDM (2022)
Jeffrey Matayoshi, Hasan Uzun, Eric Cosyn
Using a Randomized Experiment to Compare the Performance of Two Adaptive Assessment Engines. EDM (2022)
Jeffrey Matayoshi, Shamya Karumbaiah
Using Marginal Models to Adjust for Statistical Bias in the Analysis of State Transitions. LAK (2021)
James Cunningham, Raktim Mukhopadhyay, Rishabh Ranjit Kumar Jain, Jeffrey Matayoshi, Eric Cosyn, Hasan Uzun
Pre-course Prediction of At-Risk Calculus Students. AIED (2) (2021)
Jeffrey Matayoshi, Eric Cosyn, Hasan Uzun
Evaluating the Impact of Research-Based Updates to an Adaptive Learning System. AIED (2) (2021)
Jeffrey Matayoshi, Eric Cosyn, Hasan Uzun
Are We There Yet? Evaluating the Effectiveness of a Recurrent Neural Network-Based Stopping Algorithm for an Adaptive Assessment. Int. J. Artif. Intell. Educ. 31 (2) (2021)
Jeffrey Matayoshi, Shamya Karumbaiah
Investigating the Validity of Methods Used to Adjust for Multiple Comparisons in Educational Data Mining. EDM (2021)
Jeffrey Matayoshi, Christopher Lechuga
Automated Matching of ITS Problems with Textbook Content. iTextbooks@AIED (2020)
Jeffrey Matayoshi
Well-Graded Families and the Union-Closed Sets Conjecture. Electron. J. Comb. 27 (1) (2020)
Jeffrey Matayoshi, Hasan Uzun, Eric Cosyn
Studying Retrieval Practice in an Intelligent Tutoring System. L@S (2020)
Jeffrey Matayoshi, Eric Cosyn, Hasan Uzun
Using Recurrent Neural Networks to Build a Stopping Algorithm for an Adaptive Assessment. AIED (2) (2019)
Jeffrey Matayoshi, Hasan Uzun, Eric Cosyn
Deep (Un)Learning: Using Neural Networks to Model Retention and Forgetting in an Adaptive Learning System. AIED (1) (2019)
Christopher Doble, Jeffrey Matayoshi, Eric Cosyn, Hasan Uzun, Arash Karami
A Data-Based Simulation Study of Reliability for an Adaptive Assessment Based on Knowledge Space Theory. Int. J. Artif. Intell. Educ. 29 (2) (2019)
Jeffrey Matayoshi, Umberto Granziol, Christopher Doble, Hasan Uzun, Eric Cosyn
Forgetting curves and testing effect in an adaptive learning and assessment system. EDM (2018)