Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
ET |
2024-01-20 15:55 |
Kyoto |
Kyoto University Yoshida Campus / Online (Primary: On-site, Secondary: Online) |
Difficulty-Controllable Question Generation of Reading Comprehension incorporating Answerability Evaluation Mechanism Ayaka Suzuki, Masaki Uto (UEC) ET2023-51 |
Question generation (QG) for reading comprehension is a technology for automatically generating questions related to giv... [more] |
ET2023-51 pp.38-44 |
HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka |
Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
Deep Item Response Theory using Facial Features Yan Zhou, Kenji Suzuki (Univ. Tsukuba), Shiro Kumano (NTT/Univ. Tsukuba) |
This study proposes a method to integrate students' facial features during item responses into a deep item response theo... [more] |
|
ET |
2023-11-11 09:10 |
Kagawa |
Kagawa University Saiwai-cho (Main) Campus / Online (Primary: On-site, Secondary: Online) |
Joint Generation of Questions and Reference Answers for Reading Comprehension with Difficulty-Controllability Teruyoshi Goto, Yuto Tomikawa, Masaki Uto (UEC) ET2023-24 |
Recently, deep learning techniques have been employed to automatically generate reading comprehension questions tailored... [more] |
ET2023-24 pp.1-7 |
ET |
2022-10-15 15:10 |
Saga |
Saga University and Online (Primary: On-site, Secondary: Online) |
Program code development performance estimation using a peer assessment technique Minoru Nakayama (Tokyo Tech.), Masaki Uto (UEC), Marco Temperini (Sapienza Univ.), Filippo Sciarrone (Univ. Mercatorum) ET2022-26 |
Assessment for teaching programming skills is often employed a peer
assessment for code sets as a performance assessme... [more] |
ET2022-26 pp.29-34 |
ET |
2021-12-11 13:00 |
Online |
Online |
Development of trait-based neural automated essay scoring incorporating multidimensional item response theory Takumi Shibata, Masaki Uto (UEC) ET2021-33 |
In recent years, deep neural network (DNN)-based automated essay scoring (AES) models that can simultaneously predict th... [more] |
ET2021-33 pp.23-28 |
ET |
2021-11-06 11:05 |
Online |
Online |
Program code development performance estimation using a peer assessment technique Minoru Nakayama (Tokyo Tech.), Masaki Uto (UEC), Macro Temperini (Sapienza Univ.), Filippo Sciarrone (Roma Tre Univ.) ET2021-23 |
Peer assessment data in open answer session of programming language
practices were analyzed with the item response the... [more] |
ET2021-23 pp.7-12 |
HCS, HIP, HI-SIGCOASTER [detail] |
2021-05-24 16:15 |
Online |
Online |
Relationship between subjective evaluation of emotional images and pupillary reactions Jijika Murokawa, Minoru Nakayama (Tokyo Tech.) HCS2021-8 HIP2021-8 |
Relationships between emotion evoked images and pupil responses were analysed, and a possibility of estimation for impre... [more] |
HCS2021-8 HIP2021-8 pp.38-43 |
ET |
2020-10-17 15:10 |
Online |
Online |
Verification of Information Literacy Education Using Item Response Theory Takaaki Ohkawauchi, Takayuki Kobayashi, Busujima Yuji, Eriko Tanaka (Nihon Univ.) ET2020-26 |
Continuous improvement activities of lectures are required in university education. However, there are few discussions o... [more] |
ET2020-26 pp.24-27 |
HIP |
2020-09-15 11:20 |
Online |
Online (Zoom) |
Effect of cognitive process in knowledge of food safety Masahiko Tamura (Ritsumeikan Univ.), Yasuhiro Inatsu (NARO), Tomomi Nonaka, Kohei Matsumura, Tatsuya Sato, Masayoshi Nagai (Ritsumeikan Univ.), Koichiro Eto (AIST), Itsuko Horiguchi (TUS), Shogo Amano, Kazuya Matsubara, Yuji Wada (Ritsumeikan Univ.) HIP2020-31 |
We examined the effect of individual differences of cognitive processes on our knowledge on food and food safety. In rec... [more] |
HIP2020-31 pp.40-44 |
HIP, HCS, HI-SIGCOASTER [detail] |
2020-05-14 16:10 |
Online |
Online |
Estimation of recognizing emotions of facial images using EEG features Satoru Waseda, Minoru Nakayama (TokyoTech) HCS2020-10 HIP2020-10 |
Relationship between viewer's scalp potentials and subjective impression
during viewing facial emotions was analysed u... [more] |
HCS2020-10 HIP2020-10 pp.47-52 |
ET |
2020-03-07 11:25 |
Kagawa |
National Institute of Technology, Kagawa Collage (Cancelled but technical report was issued) |
A feasibility of performance assessment using a large scale data set of mutual evaluation Minoru Nakayama (TokyoTech), Masaki Uto (UEC), Filippo Sciarrone (uniroma3), Marco Temperini (Sapienza) ET2019-79 |
Learning performance is often evaluated using a peer assessment setting such as MOOC environment. Their feasibility and ... [more] |
ET2019-79 pp.19-22 |
HCS |
2020-01-26 15:30 |
Oita |
Room407, J:COM HorutoHall OITA (Oita) |
The difference of the degree of difficulty among false belief tasks
-- Analysis by Item Response Theory (IRT) -- Kaoru Toyama (Ryukoku Univ.) HCS2019-80 |
The false belief tasks have been used for more than 35 years to measure the existence of a theory of mind. Even today, t... [more] |
HCS2019-80 pp.153-156 |
ET |
2019-03-15 15:40 |
Tokushima |
Naruto University of Education |
Development of a Learning Support System for the Education of Test Theory Taisuke Kawamata, Kazashi Fujita, Takako Akakura (TUS) ET2018-115 |
The role of e-testing technology has dramatically increased in recent years, heightening the importance of test theory e... [more] |
ET2018-115 pp.157-160 |
HCS |
2018-03-14 14:20 |
Miyagi |
Research Institute of Electrical Communication, Tohoku University |
Affection on User's Empathy Caused by Text Content Kazunori MAtsumoto, Kazushi Ikeda, Syunichi Tahara, Keiichirou Hoashi (KDDI Research Labs.) HCS2017-115 |
(To be available after the conference date) [more] |
HCS2017-115 pp.131-137 |
ET |
2018-03-03 15:45 |
Kochi |
Kochi University of Technology (Eikokuji Campus) |
Evaluation of items of writing rubric through differential item functioning Katsuhiko Ishikawa (YAMAGAKU Univ.), Akifumi Notsu (OUN) ET2017-131 |
In evaluating essay, we are not able to set only one correct answer, different from language test. Even if evaluation ru... [more] |
ET2017-131 pp.243-248 |
ET |
2018-03-03 16:05 |
Kochi |
Kochi University of Technology (Eikokuji Campus) |
Modeling the temporal change of student proficiency using records in e-learning Midori Kodama, Takahiro Hata, Ippei Shake (NTT) ET2017-132 |
Estimating student’s proficiency from the records of learning system is the key technology to provide adaptive learning ... [more] |
ET2017-132 pp.249-252 |
ET |
2017-06-10 15:30 |
Shizuoka |
Shizuoka Univ. (Hamamatsu) |
An Algorithm for Testing Understanding Level Based on the Number of Consecutive Correct Answers
-- Evaluation by Agent Simulation Based on Item Characteristic Curves -- Koichi Asakura (Daido Univ.), Yoshiki Kawai (System Server), Toyohide Watanabe (NISRI) ET2017-17 |
This paper proposes an algorithm for testing understanding level of students for programming education. This algorithm ... [more] |
ET2017-17 pp.31-35 |
R |
2017-05-26 15:30 |
Okayama |
Purity Makibi |
Design and implementation of large scale online testing system targeted at undergraduate students Hideo Hirose (Hiroshima Inst. of Tech.) R2017-7 |
We are now accepting a variety of students in many universities.
To educate every students, we have provided online tes... [more] |
R2017-7 pp.37-42 |
TL |
2016-12-17 16:00 |
Tokyo |
Room 303/304/305, Building #8, Waseda University |
[Invited Talk]
In search of a psychologically realistic model of acceptability judgements
-- Towards a better understanding of how "context(ual) effects" work -- Kow Kuroda (Kyorin Univ.) TL2016-55 |
This paper proposes a psychological plausible model of acceptability judgement that implements a reconceptualization of ... [more] |
TL2016-55 pp.95-100 |
IBISML |
2015-03-05 13:00 |
Kyoto |
Kyoto University |
[Invited Talk]
Detection of cheating in Boltzmann machine learning
-- A parameter-free algorithm to sparse solution -- Masayuki Ohzeki (KU) IBISML2014-85 |
We generalize a mathematical model in the item response theory into that in the Boltzmann machine learning to detect “ch... [more] |
IBISML2014-85 pp.1-8 |