研究者詳細
Ｐｈ．Ｄ．（ノースカロライナ州立大学）
Best LBR Paper Award
2025年 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年
出版者・発行元： 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年
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 査読有り
Machi Shimmei, Masaki Uto, Yuichiroh Matsubayashi, Kentaro Inui, Aditi Mallavarapu, Noboru Matsuda
2025年
DOI： 10.1007/978-3-031-99264-3_16
Machine-Generated Questions Attract Instructors When Acquainted with Learning Objectives 査読有り
Machi Shimmei, Norman Bier, Noboru Matsuda
2023年
DOI： 10.1007/978-3-031-36272-9_1
Automatic Question Generation for Evidence-based Online Courseware Engineering. 査読有り
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年
出版者・発行元： CEUR-WS.org
Latent Skill Mining and Labeling from Courseware Content 査読有り
Noboru Matsuda, Jesse Wood, Raj Shrivastava, Machi Shimmei, Norman Bier
Journal of Educational Data Mining 14 (2) 1-31 2022年
Learning Association Between Learning Objectives and Key Concepts to Generate Pedagogically Valuable Questions 査読有り
Machi Shimmei, Noboru Matsuda
320-324 2021年
出版者・発行元： Springer International PublishingDOI： 10.1007/978-3-030-78270-2_57
Learning a Policy Primes Quality Control: Towards Evidence-Based Automation of Learning Engineering. 査読有り
Machi Shimmei, Noboru Matsuda
Proceedings of the 13th International Conference on Educational Data Mining(EDM) 224-232 2020年
出版者・発行元： 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年
出版者・発行元： 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年
出版者・発行元： 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
2025年 ～ 2027年
https://orcid.org/0000-0002-4790-8863