| A data-based simulation study of reliability for an adaptive assessment based on knowledge space theory C Doble, J Matayoshi, E Cosyn, H Uzun, A Karami International Journal of Artificial Intelligence in Education 29 (2), 258-282, 2019 | 46 | 2019 |
| A practical perspective on knowledge space theory: ALEKS and its data E Cosyn, H Uzun, C Doble, J Matayoshi Journal of Mathematical Psychology 101, 102512, 2021 | 41 | 2021 |
| Adjusting the L statistic when self-transitions are excluded in affect dynamics J Matayoshi, S Karumbaiah Journal of Educational Data Mining 12 (4), 1-23, 2020 | 13 | 2020 |
| Forgetting curves and testing effect in an adaptive learning and assessment system J Matayoshi, U Granziol, C Doble, H Uzun, E Cosyn Educational Data Mining 2018, 607-612, 2018 | 13 | 2018 |
| Deep (un) learning: Using neural networks to model retention and forgetting in an adaptive learning system J Matayoshi, H Uzun, E Cosyn Artificial Intelligence in Education: 20th International Conference, AIED …, 2019 | 11 | 2019 |
| Are we there yet? Evaluating the effectiveness of a recurrent neural network-based stopping algorithm for an adaptive assessment J Matayoshi, E Cosyn, H Uzun International Journal of Artificial Intelligence in Education 31 (2), 304-336, 2021 | 10 | 2021 |
| The real zeros of a random algebraic polynomial with dependent coefficients J Matayoshi The Rocky Mountain Journal of Mathematics, 1015-1034, 2012 | 8* | 2012 |
| Using Marginal Models to Adjust for Statistical Bias in the Analysis of State Transitions J Matayoshi, S Karumbaiah LAK21: 11th International Learning Analytics and Knowledge Conference, 449-455, 2021 | 7 | 2021 |
| Studying Retrieval Practice in an Intelligent Tutoring System J Matayoshi, H Uzun, E Cosyn Seventh ACM Conference on Learning @ Scale, 51-62, 2020 | 7 | 2020 |
| Identifying Student Learning Patterns with Semi-Supervised Machine Learning Models J MATAYOSHI, E COSYN International Conference on Computers in Education, 11-20, 2018 | 7 | 2018 |
| Negative learning behavior alert system EE Cosyn, JS Matayoshi US Patent 10,713,965, 2020 | 6* | 2020 |
| Automated Matching of ITS Problems with Textbook Content J Matayoshi, C Lechuga Second International Workshop on Intelligent Textbooks, 17-28, 2020 | 5 | 2020 |
| On the properties of well-graded partially union-closed families J Matayoshi Journal of Mathematical Psychology 80, 15-21, 2017 | 5 | 2017 |
| Using recurrent neural networks to build a stopping algorithm for an adaptive assessment J Matayoshi, E Cosyn, H Uzun Artificial Intelligence in Education: 20th International Conference, AIED …, 2019 | 4 | 2019 |
| Learning, forgetting, and the correlation of knowledge in knowledge space theory J Matayoshi, H Uzun Journal of Mathematical Psychology 109, 102674, 2022 | 3 | 2022 |
| Using a Randomized Experiment to Compare the Performance of Two Adaptive Assessment Engines. J Matayoshi, H Uzun, E Cosyn International Educational Data Mining Society, 2022 | 2 | 2022 |
| Investigating the Validity of Methods Used to Adjust for Multiple Comparisons in Educational Data Mining J Matayoshi, S Karumbaiah Educational Data Mining 2021, 33-45, 2021 | 2 | 2021 |
| Does Practice Make Perfect? Analyzing the Relationship between Higher Mastery and Forgetting in an Adaptive Learning System. J Matayoshi, E Cosyn, H Uzun International Educational Data Mining Society, 2022 | 1 | 2022 |
| Evaluating the impact of research-based updates to an adaptive learning system J Matayoshi, E Cosyn, H Uzun International Conference on Artificial Intelligence in Education, 451-456, 2021 | 1 | 2021 |
| Pre-course Prediction of At-Risk Calculus Students J Cunningham, R Mukhopadhyay, RRK Jain, J Matayoshi, E Cosyn, ... International Conference on Artificial Intelligence in Education, 124-128, 2021 | 1 | 2021 |
