Online edition: ISSN 2432-6380
[TOP] | [2018] | [2019] | [2020] | [2021] | [2022] | [2023] | [2024] | [Japanese] / [English]
ET2024-47
Tendency Analysis of Statistical Analysis Course in Python Programming for New Graduates
Kozakai Ryota (AKKODiS)
pp. 1 - 7
ET2024-48
A Study on Usage of Statistical Surveys as Teaching Materials for Introduction to Data Wrangling
Katsumi Yoshine (Nanzan Univ.)
pp. 8 - 11
ET2024-49
A Visualization System for Board State and Gaze in Puyo Puyo
Hajime Tanaka, Youji Ochi (Kindai)
pp. 12 - 17
ET2024-50
Development of a Function for Identifying the Components of English Descriptive Paragraphs
Yuishin Fukuzawa (Kyutech), Akira Nakano (NIT, Kurume College), Hidenobu Kunitika (Kyutech)
pp. 18 - 22
ET2024-51
Piano Learning Support System using Hand Shape Recogunition Devise for Fingering Training
Yuma Nagai, Yukihiro Matsubara, Masaru Okamoto, Kousuke Mouri (Hiroshima City Univ.)
pp. 23 - 26
ET2024-52
The Effect of Behavior Visualization in Supporting Subgoal Learning for Programming
Kento Koike (TUS/CIT), Takahito Tomoto (CIT), Tomoya Horiguchi (Kobe Univ.), Tsukasa Hirashima (Hiroshima Univ.)
pp. 27 - 34
ET2024-53
Development of a Mixed Reality Environment for Tidal Phenomena Learning
Shinobu Hasegawa (JAIST), Narabodee Nabmuree (SIIT), Prarinya Siritanawan (Shinsyu Univ.), Wen Gu (JAIST)
pp. 35 - 38
ET2024-54
Consideration on Learning Methods Proposing Function in a Self-Regulated Learning Support System
Ryo Sasanuma, Hisayoshi Kunimune (Chiba Inst. of Tech)
pp. 39 - 44
ET2024-55
Educational aspects of the accompanying support of IT specialists in a work execution model that enables childcare providers to develop their own information systems
Koji Yamada, Takumi Sakamoto (Osaka Sangyo Uinv.)
pp. 45 - 50
ET2024-56
Combining Manga Drawing and Generative AI-Based Dialogue Simulation to Support Empathic Understanding of Adversaries in Persuasion
Hideyuki Suzuki (Ibaraki Univ.), Hideo Funaoi (Soka Univ.), Yoshihiko Kubota (Tamagawa Univ.), Hiroshi Kato (Open Univ. of Japan)
pp. 51 - 58
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.