Zobrazeno 1 - 10 of 17 pro vyhledávání: '"Shun Okuhara"'
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Akademický článek
Conversational agents enhance women's contribution in online debates
Autor: Rafik Hadfi, Shun Okuhara, Jawad Haqbeen, Sofia Sahab, Susumu Ohnuma, Takayuki Ito
Publikováno v: Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract The advent of Artificial Intelligence (AI) is fostering the development of innovative methods of communication and collaboration. Integrating AI into Information and Communication Technologies (ICTs) is now ushering in an era of social progr
Externí odkaz: https://doaj.org/article/b1792fd2c00040e8aab6b516309be569
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2
Inferred Study Habits of Students from E-Learning – Focusing on Increasing Test Scores in Pre-Enrollment Education
Autor: Ryo Sugawara, Shun Okuhara
Publikováno v: European Journal of Education and Pedagogy. 4:31-36
In this study, we used the placement test scores, e-learning history, and posttest scores obtained in the pre-enrollment education at University A conducted in 2015, 2016, and 2017 to exploratorily classify seven types of students according to learni
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::82ebbdf4a411d9111efa67bbfbf9191c
https://doi.org/10.24018/ejedu.2023.4.3.659
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3
Group Work Using Active Learning
Autor: Ryo Sugawara, Shun Okuhara
Publikováno v: International Journal of Virtual and Personal Learning Environments. 12:1-15
An active learning group work course at “A” university in Japan is characterized by two-way interactions between students as well as between teachers and students. The spread of COVID-19 prompted a shift from in-person lessons to online synchrono
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::495088a5a9aee9f12920d49f52b61bf1
https://doi.org/10.4018/ijvple.313412
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8
Insights from a Large-Scale Discussion on COVID-19 in Collective Intelligence
Autor: Takumi Sato, Shun Okuhara, Jawad Ahmad Haqbeen, Murtaza Hofiani, Takayuki Ito, Sofia Sahab
Publikováno v: WI/IAT
We present a large-scale case study using an agent platform that gathered cross-class public opinions about the COVID-19 situation. Our system extracts valuable insights from users from the perspective of offering suggestions to public health policy
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bfe6e9de860dd48fee854405a820572f
https://doi.org/10.1109/wiiat50758.2020.00082
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9
Agents that Learn to Vote for a Joint Action Through Multi-Agent Reinforcement Learning
Autor: Takayuki Ito, Shun Okuhara, Natsuki Matsunami
Publikováno v: IIAI-AAI
In multi-agent reinforcement learning (MARL), it is desired to achieve the overall cooperation in a decentralized manner without compromising each agent’ s autonomy. In this regard, there arises a strong relation between reward design as a mechanis
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b8c4ad0c6c5922cb42bc6aff044ed427
https://doi.org/10.1109/iiai-aai50415.2020.00173
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10
Exploratory Study on Correlations between Students' Characteristics and Effects in the Case of Online Learning on University Students
Autor: Yoshikazu Sato, Yuki Fukuyama, Ryo Sugawara, Shun Okuhara
Publikováno v: ICAIIC
The failure to ensure spontaneous e-learning may not, in fact, be due to structural problems in the e-learning system itself, but may rather be attributable to a gap between the instructional design of materials provided by e-learning and the learnin
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::562e9473e13d3026587cdbd3df611185
https://doi.org/10.1109/icaiic48513.2020.9065210
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