IEICE Technical Report

Online edition: ISSN 2432-6380

Educational Technology

Workshop Date : 2025-12-06 / Issue Date : 2025-11-29

ET2025-37
A Study on a Feedback Method Based on Cartwheel Comparison Between Experts and Novices Using Generative AI
Naoki Teramoto, Youji Ochi (Kindai Univ.)
pp. 1 - 6

ET2025-38
Design of Information Education Curriculum for AI and Data Science
Yosuke Takubo, Akira Ohno, Takashi Yokoyama, Mikiko Sode (Niihama Col.)
pp. 7 - 11

ET2025-39
A Python Learning Support Application for the High School Curriculum "Informatics I"
Hiroshi Sunaga (OGU), Mana Higuchi (MJG)
pp. 12 - 17

ET2025-40
Sign Language Communication in Professional Settings -- An Analysis of Parameters in Contact Signing --
Nobuko Kato, Mikihisa Shiratori (NTUT), Akihisa Shitara (Tsukuba Univ.), Fumio Yoneyama, Yuhki Shiraishi (NTUT)
pp. 18 - 22

ET2025-41
A Feedback Generation Method to Promote Self-Regulated Learning Based on Compilation Logs
Yuya Fujii, Sho Yamamoto, Youji Ochi (Kindai Univ.)
pp. 23 - 28

ET2025-42
Verification of the effectiveness of extending state transition diagrams in a modeling learning support environment
Seitaro Kakumu (Shinshu University Graduate School), Yoshihiro Koshi, Mizue Kayama, Nobuyuki Tachi (Shinshu University), Takashi Nagai (Institute of Technologists), Hiroaki Nose (Nagano prefectural institute of technology)
pp. 29 - 36

ET2025-43
Exploring Stage-Based Self-Review in Graduation Thesis Writing with Generative AI Support
Daisuke Suzuki (Hokuriku Univ./Musashino Univ.)
pp. 37 - 41

ET2025-44
A Preliminary Study on Scoring Descriptive Questions Using Generative AI
Naoaki Shibata (Niiza General Technical High School)
pp. 42 - 45

ET2025-45
Adaptive review question generation method using question history for AI chatbot in learning management system
Hiroyuki Yokota, Kento Koike, Takako Akakura (TUS)
pp. 46 - 51

ET2025-46
Feasibility of extracting learning contents from course syllabi and materials
Minoru Nakayama (Meiji Univ.)
pp. 52 - 57

ET2025-47
Clustering for large S-P charts based on Hopfield neural networks
Toshimichi Saito, Yuta Arai, Mizuki Ohira, Seigo Nakamura (HU)
pp. 58 - 62

ET2025-48
Post hoc Scoring under Constraints Using a Dichotomous Item Response Model
Masanori Shiro (AIST)
pp. 63 - 65

Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.

The Institute of Electronics, Information and Communication Engineers (IEICE), Japan