Masaki Uto

According to our database, Masaki Uto authored at least 27 papers between 2015 and 2023.

Collaborative distances:

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

2023

Integration of Prediction Scores From Various Automated Essay Scoring Models Using Item Response Theory.

Masaki Uto, Itsuki Aomi, Emiko Tsutsumi, Maomi Ueno

IEEE Trans. Learn. Technol., December, 2023

Feasibility of Prediction of Student's Characteristics Using Texts of Essays Written During a Fully Online Course.

Minoru Nakayama, Masaki Uto, Satoru Kikuchi, Hiroh Yamamoto

Proceedings of the 27th International Conference Information Visualisation, 2023

Neural Automated Short-Answer Grading Considering Examinee-Specific Features.

Masaki Uto

Proceedings of the IEEE International Conference on Advanced Learning Technologies, 2023

Difficulty-Controllable Neural Question Generation for Reading Comprehension using Item Response Theory.

Masaki Uto, Yuto Tomikawa, Ayaka Suzuki

Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023

Neural Automated Essay Scoring Considering Logical Structure.

Misato Yamaura, Itsuki Fukuda, Masaki Uto

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

2022

An Item Response Theory Approach to Enhance Peer Assessment Effectiveness in Massive Open Online Courses.

Minoru Nakayama, Filippo Sciarrone, Marco Temperini, Masaki Uto

Int. J. Distance Educ. Technol., 2022

Evaluation of Programming Skills via Peer Assessment and IRT Estimation Techniques.

Minoru Nakayama, Filippo Sciarrone, Marco Temperini, Masaki Uto

Proceedings of the 20th International Conference on Information Technology Based Higher Education and Training, 2022

Analytic Automated Essay Scoring Based on Deep Neural Networks Integrating Multidimensional Item Response Theory.

Takumi Shibata, Masaki Uto

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Learning Automated Essay Scoring Models Using Item-Response-Theory-Based Scores to Decrease Effects of Rater Biases.

Masaki Uto, Masashi Okano

IEEE Trans. Learn. Technol., 2021

Estimating Ability of Programming Skills using IRT based Peer Assessments.

Minoru Nakayama, Masaki Uto, Marco Temperini, Filippo Sciarrone

Proceedings of the 19th International Conference on Information Technology Based Higher Education and Training, 2021

A Multidimensional Item Response Theory Model for Rubric-Based Writing Assessment.

Masaki Uto

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

Integration of Automated Essay Scoring Models Using Item Response Theory.

Itsuki Aomi, Emiko Tsutsumi, Masaki Uto, Maomi Ueno

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

2020

Group Optimization to Maximize Peer Assessment Accuracy Using Item Response Theory and Integer Programming.

Masaki Uto, Nguyen Duc Thien, Maomi Ueno

IEEE Trans. Learn. Technol., 2020

Time- and Learner-Dependent Hidden Markov Model for Writing Process Analysis Using Keystroke Log Data.

Masaki Uto, Yoshimitsu Miyazawa, Yoshihiro Kato, Koji Nakajima, Hajime Kuwata

Int. J. Artif. Intell. Educ., 2020

Impact of the number of peers on a mutual assessment as learner's performance in a simulated MOOC environment using the IRT model.

Minoru Nakayama, Filippo Sciarrone, Masaki Uto, Marco Temperini

Proceedings of the 24th International Conference on Information Visualisation, 2020

Neural Automated Essay Scoring Incorporating Handcrafted Features.

Masaki Uto, Yikuan Xie, Maomi Ueno

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Automated Short-Answer Grading Using Deep Neural Networks and Item Response Theory.

Masaki Uto, Yuto Uchida

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

Robust Neural Automated Essay Scoring Using Item Response Theory.

Masaki Uto, Masashi Okano

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019

Rater-Effect IRT Model Integrating Supervised LDA for Accurate Measurement of Essay Writing Ability.

Masaki Uto

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

2018

Exact learning augmented naive Bayes classifier.

Shouta Sugahara, Masaki Uto, Maomi Ueno

Proceedings of the International Conference on Probabilistic Graphical Models, 2018

Item Response Theory Without Restriction of Equal Interval Scale for Rater's Score.

Masaki Uto, Maomi Ueno

Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

2017

Consistent Learning Bayesian Networks with Thousands of Variables.

Kazuki Natori, Masaki Uto, Maomi Ueno

Proceedings of the 3rd Workshop on Advanced Methodologies for Bayesian Networks, 2017

Group Optimization to Maximize Peer Assessment Accuracy Using Item Response Theory.

Masaki Uto, Nguyen Duc Thien, Maomi Ueno

Proceedings of the Artificial Intelligence in Education - 18th International Conference, 2017

2016

Item Response Theory for Peer Assessment.

Masaki Uto, Maomi Ueno

IEEE Trans. Learn. Technol., 2016

2015

Constraint-Based Learning Bayesian Networks Using Bayes Factor.

Kazuki Natori, Masaki Uto, Yu Nishiyama, Shuichi Kawano, Maomi Ueno

Proceedings of the Advanced Methodologies for Bayesian Networks, 2015

Academic Writing Support System Using Bayesian Networks.

Masaki Uto, Maomi Ueno

Proceedings of the 15th IEEE International Conference on Advanced Learning Technologies, 2015

Item Response Model with Lower Order Parameters for Peer Assessment.

Masaki Uto, Maomi Ueno

Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015