Details of the Researcher
Best LBR Paper Award
2025 International Conference on Artificial Intelligence in Education (AIED) Tell Me Who Your Students Are: GPT Can Generate Valid Multiple-Choice Questions When Students’ (Mis)Understanding Is Hinted
Automatic Feedback Generation for Japanese Reading Comprehension Short-Answer Questions Using Discourse-Structure-based Answer Diagnostic Graphs
Momoka Furuhashi, Hiroaki Funayama, Yuichiroh Matsubayashi, Machi Shimmei, Yoriko Isobe, Yutaka Ishii, Kentaro Inui
Journal of Natural Language Processing 33 (1) 240-282 2026
Publisher: Association for Natural Language ProcessingDOI： 10.5715/jnlp.33.240
ISSN： 1340-7619
eISSN： 2185-8314
Misconception-Aware Prompting Can Generate Authentic Analytical Multiple-Choice Questions
Machi Shimmei, Masaki Uto, Yuichiroh Matsubayashi, Kentaro Inui, Aditi Mallavarapu, Noboru Matsuda
IEEE Access 2026
DOI： 10.1109/ACCESS.2026.3681235
Tell Me Who Your Students Are: GPT Can Generate Valid Multiple-Choice Questions When Students’ (Mis)Understanding is Hinted Peer-reviewed
Machi Shimmei, Masaki Uto, Yuichiroh Matsubayashi, Kentaro Inui, Aditi Mallavarapu, Noboru Matsuda
2025
DOI： 10.1007/978-3-031-99264-3_16
Machine-Generated Questions Attract Instructors When Acquainted with Learning Objectives Peer-reviewed
Machi Shimmei, Norman Bier, Noboru Matsuda
2023
DOI： 10.1007/978-3-031-36272-9_1
Automatic Question Generation for Evidence-based Online Courseware Engineering. Peer-reviewed
Machi Shimmei, Noboru Matsuda
Proceedings of the Fourth International Workshop on Intelligent Textbooks 2022 co-located with 23d International Conference on Artificial Intelligence in Education (AIED 2022)(iTextbooks@AIED) 18-25 2022
Publisher: CEUR-WS.org
Latent Skill Mining and Labeling from Courseware Content Peer-reviewed
Noboru Matsuda, Jesse Wood, Raj Shrivastava, Machi Shimmei, Norman Bier
Journal of Educational Data Mining 14 (2) 1-31 2022
Learning Association Between Learning Objectives and Key Concepts to Generate Pedagogically Valuable Questions Peer-reviewed
Machi Shimmei, Noboru Matsuda
320-324 2021
Publisher: Springer International PublishingDOI： 10.1007/978-3-030-78270-2_57
Learning a Policy Primes Quality Control: Towards Evidence-Based Automation of Learning Engineering. Peer-reviewed
Machi Shimmei, Noboru Matsuda
Proceedings of the 13th International Conference on Educational Data Mining(EDM) 224-232 2020
Publisher: International Educational Data Mining Society
Evidence-Based Recommendation for Content Improvement Using Reinforcement Learning.
Machi Shimmei, Noboru Matsuda
Artificial Intelligence in Education - 20th International Conference 369-373 2019
Publisher: SpringerDOI： 10.1007/978-3-030-23207-8_68
PASTEL: Evidence-based Learning Engineering Method to Create Intelligent Online Textbook at Scale.
Noboru Matsuda, Machi Shimmei
Proceedings of the First Workshop on Intelligent Textbooks co-located with 20th International Conference on Artificial Intelligence in Education (AIED 2019)(iTextbooks@AIED) 70-80 2019
Publisher: CEUR-WS.org
統計学を対象としたAIと人の誤概念修正インタラクションの探求
震明 万智
Offer Organization: 科学技術振興機構
Category: 戦略的な研究開発の推進/戦略的創造研究推進事業/ACT-X
2025 - 2027
https://orcid.org/0000-0002-4790-8863