Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Humin Yang"'
Publikováno v:
International Journal of e-Collaboration. 19:1-18
The future of modern education and web-based learning is inherently associated with the advancement in modern technologies and computing capacities of new smart machines, such as artificial intelligence (AI). AI is a high-performance computing enviro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a46eee109784b06b1e02672da00fdf7b
https://doi.org/10.4018/ijec.316655
https://doi.org/10.4018/ijec.316655
Publikováno v:
Journal of Interconnection Networks. 22
Artificial intelligence can open modern opportunities and potentials for smart education. Smart learning purposes at providing holistic learning to learners utilizing modern technologies to fully prepare them for a fast-evolving world where adaptabil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52c09f41e2e98a27bea37a15d8e8e41e
https://doi.org/10.1142/s0219265921430313
https://doi.org/10.1142/s0219265921430313
Autor:
Humin Yang, Jiefeng Wang
Publikováno v:
International Journal of Continuing Engineering Education and Life-Long Learning. 33:10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15c5f9a29e414e41deb5e1838ce3e53b
https://doi.org/10.1504/ijceell.2023.127848
https://doi.org/10.1504/ijceell.2023.127848
Autor:
Humin Yang
Publikováno v:
International Journal of Continuing Engineering Education and Life-Long Learning. 1:1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5efcff5be15a15d220449af56b8aa5d3
https://doi.org/10.1504/ijceell.2022.10034412
https://doi.org/10.1504/ijceell.2022.10034412
Autor:
Henry Loghej, Humin Yang
Publikováno v:
International Journal of Continuing Engineering Education and Life-Long Learning. 29:362
In order to improve learning efficiency and quantify the quality of teaching, a method of modelling the influence of emotional factors on students' learning efficiency is proposed. The statistical feature analysis object model is constructed. The qua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa0f7902688e3bd3ade038a082229f0e
https://doi.org/10.1504/ijceell.2019.10023374
https://doi.org/10.1504/ijceell.2019.10023374