Masaki Uto

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 28

Top Topics

Item Response Theory

Augmented Naive Bayes

Massive Open Online Courses

Top Venues

IEEE Trans. Learn. Technol.

AIED Companion (1)

Publications

Naoki Shindo, Masaki Uto
ChatGPT-Based Virtual Standardized Patient that Amends Overly Detailed Responses in Objective Structured Clinical Examinations. AIED Companion (1) (2024)
Yuto Tomikawa, Masaki Uto
Difficulty-Controllable Multiple-Choice Question Generation for Reading Comprehension Using Item Response Theory. AIED Companion (1) (2024)
Masaki Uto, Yuto Takahashi
Neural Automated Essay Scoring for Improved Confidence Estimation and Score Prediction Through Integrated Classification and Regression. AIED Companion (1) (2024)
Kota Aramaki, Masaki Uto
Collaborative Essay Evaluation with Human and Neural Graders Using Item Response Theory Under a Nonequivalent Groups Design. AIED Companion (2) (2024)
Minoru Nakayama, Masaki Uto, Satoru Kikuchi, Hiroh Yamamoto
Feasibility of Prediction of Student's Characteristics Using Texts of Essays Written During a Fully Online Course. IV (2023)
Misato Yamaura, Itsuki Fukuda, Masaki Uto
Neural Automated Essay Scoring Considering Logical Structure. AIED (2023)
Masaki Uto, Yuto Tomikawa, Ayaka Suzuki
Difficulty-Controllable Neural Question Generation for Reading Comprehension using Item Response Theory. BEA@ACL (2023)
Masaki Uto
Neural Automated Short-Answer Grading Considering Examinee-Specific Features. ICALT (2023)
Masaki Uto, Itsuki Aomi, Emiko Tsutsumi, Maomi Ueno
Integration of Prediction Scores From Various Automated Essay Scoring Models Using Item Response Theory. IEEE Trans. Learn. Technol. 16 (6) (2023)
Minoru Nakayama, Filippo Sciarrone, Marco Temperini, Masaki Uto
An Item Response Theory Approach to Enhance Peer Assessment Effectiveness in Massive Open Online Courses. Int. J. Distance Educ. Technol. 20 (1) (2022)
Minoru Nakayama, Filippo Sciarrone, Marco Temperini, Masaki Uto
Evaluation of Programming Skills via Peer Assessment and IRT Estimation Techniques. ITHET (2022)
Takumi Shibata, Masaki Uto
Analytic Automated Essay Scoring Based on Deep Neural Networks Integrating Multidimensional Item Response Theory. COLING (2022)
Masaki Uto, Masashi Okano
Learning Automated Essay Scoring Models Using Item-Response-Theory-Based Scores to Decrease Effects of Rater Biases. IEEE Trans. Learn. Technol. 14 (6) (2021)
Minoru Nakayama, Masaki Uto, Marco Temperini, Filippo Sciarrone
Estimating Ability of Programming Skills using IRT based Peer Assessments. ITHET (2021)
Masaki Uto
A Multidimensional Item Response Theory Model for Rubric-Based Writing Assessment. AIED (1) (2021)
Itsuki Aomi, Emiko Tsutsumi, Masaki Uto, Maomi Ueno
Integration of Automated Essay Scoring Models Using Item Response Theory. AIED (2) (2021)
Masaki Uto, Yuto Uchida
Automated Short-Answer Grading Using Deep Neural Networks and Item Response Theory. AIED (2) (2020)
Masaki Uto, Yikuan Xie, Maomi Ueno
Neural Automated Essay Scoring Incorporating Handcrafted Features. COLING (2020)
Minoru Nakayama, Filippo Sciarrone, Masaki Uto, Marco Temperini
Impact of the number of peers on a mutual assessment as learner's performance in a simulated MOOC environment using the IRT model. IV (2020)
Masaki Uto, Yoshimitsu Miyazawa, Yoshihiro Kato, Koji Nakajima, Hajime Kuwata
Time- and Learner-Dependent Hidden Markov Model for Writing Process Analysis Using Keystroke Log Data. Int. J. Artif. Intell. Educ. 30 (2) (2020)
Masaki Uto, Nguyen Duc Thien, Maomi Ueno
Group Optimization to Maximize Peer Assessment Accuracy Using Item Response Theory and Integer Programming. IEEE Trans. Learn. Technol. 13 (1) (2020)
Masaki Uto, Masashi Okano
Robust Neural Automated Essay Scoring Using Item Response Theory. AIED (1) (2020)
Masaki Uto
Rater-Effect IRT Model Integrating Supervised LDA for Accurate Measurement of Essay Writing Ability. AIED (1) (2019)
Masaki Uto, Maomi Ueno
Item Response Theory Without Restriction of Equal Interval Scale for Rater's Score. AIED (2) (2018)
Shouta Sugahara, Masaki Uto, Maomi Ueno
Exact learning augmented naive Bayes classifier. PGM (2018)
Masaki Uto, Nguyen Duc Thien, Maomi Ueno
Group Optimization to Maximize Peer Assessment Accuracy Using Item Response Theory. AIED (2017)
Kazuki Natori, Masaki Uto, Maomi Ueno
Consistent Learning Bayesian Networks with Thousands of Variables. AMBN (2017)
Masaki Uto, Maomi Ueno
Item Response Theory for Peer Assessment. IEEE Trans. Learn. Technol. 9 (2) (2016)
Masaki Uto, Maomi Ueno
Academic Writing Support System Using Bayesian Networks. ICALT (2015)
Kazuki Natori, Masaki Uto, Yu Nishiyama, Shuichi Kawano, Maomi Ueno
Constraint-Based Learning Bayesian Networks Using Bayes Factor. AMBN@JSAI-isAI (2015)
Masaki Uto, Maomi Ueno
Item Response Model with Lower Order Parameters for Peer Assessment. AIED (2015)