Neural automated essay scoring incorporating handcrafted features M Uto, Y Xie, M Ueno Proceedings of the 28th International Conference on Computational …, 2020 | 94 | 2020 |
Item response theory for peer assessment M Uto, M Ueno IEEE transactions on learning technologies 9 (2), 157-170, 2015 | 88 | 2015 |
Data mining and text mining technologies for collaborative learning in an ILMS" Ssamurai" M Ueno IEEE International Conference on Advanced Learning Technology, 2004 | 80 | 2004 |
Bees algorithm for construction of multiple test forms in e-testing P Songmuang, M Ueno IEEE Transactions on Learning Technologies 4 (3), 209-221, 2010 | 61 | 2010 |
IRT-based adaptive hints to scaffold learning in programming M Ueno, Y Miyazawa IEEE Transactions on Learning Technologies 11 (4), 415-428, 2017 | 58 | 2017 |
Empirical comparison of item response theory models with rater's parameters M Uto, M Ueno Heliyon 4 (5), 2018 | 54 | 2018 |
Learning networks determined by the ratio of prior and data M Ueno The Twenty-Sixth Conference on Uncertainty in Artificial Intelligence(UAI …, 2010 | 51 | 2010 |
Maximum clique algorithm and its approximation for uniform test form assembly T Ishii, P Songmuang, M Ueno IEEE Transactions on Learning Technologies 7 (1), 83-95, 2014 | 48 | 2014 |
Learning log database and data mining system for e-learning–on-line statistical outlier detection of irregular learning processes M Ueno, K Nagaoka Proceedings of the International Conference on Advanced Learning …, 2002 | 44 | 2002 |
A generalized many-facet Rasch model and its Bayesian estimation using Hamiltonian Monte Carlo M Uto, M Ueno Behaviormetrika 47 (2), 469-496, 2020 | 42 | 2020 |
Online Outlier Detection System for Learning Time Data in E-Learning and Its Evaluation. M Ueno CATE, 248-253, 2004 | 42 | 2004 |
Robust learning Bayesian networks for prior belief M Ueno (UAI) The Twenty-Seventh Conference of Uncertainty in Artificial …, 2011 | 41 | 2011 |
Animated agent to maintain learner’s attention in e-learning M Ueno E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare …, 2004 | 36 | 2004 |
Computerized adaptive testing based on decision tree M Ueno, P Songmuang 2010 10th IEEE international conference on advanced learning technologies …, 2010 | 33 | 2010 |
Deep-IRT with Independent Student and Item Networks. E Tsutsumi, R Kinoshita, M Ueno International Educational Data Mining Society, 2021 | 31 | 2021 |
Probability based scaffolding system with fading M Ueno, Y Miyasawa Artificial Intelligence in Education: 17th International Conference, AIED …, 2015 | 31 | 2015 |
An Extension of the IRT to a Network Model M Ueno Behaviormetrika 29, 59-79, 2002 | 31 | 2002 |
Animated pedagogical agent based on decision tree for e-learning M Ueno IEEE International Conference on Advanced Learning Technologies (ICALT'05 …, 2005 | 30 | 2005 |
Bayesian agent in e-learning M Ueno, T Okamoto Seventh IEEE international conference on advanced learning technologies …, 2007 | 29 | 2007 |
Web based computerized testing system for distance education M Ueno Educational Technology Research 28 (1-2), 59-69, 2005 | 29 | 2005 |