Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Lehong Shi"'
Publikováno v:
Education Sciences, Vol 14, Iss 11, p 1187 (2024)
Recent research indicates the significant potential of artificial intelligence (AI) in enhancing teachers’ instructional practices in areas such as lesson planning, personalized teacher intervention and feedback, and performance assessment. To full
Externí odkaz:
https://doaj.org/article/13af3dbd5efe47c3b3f7dd97c028dcf3
Publikováno v:
Computers and Education Open, Vol 6, Iss , Pp 100178- (2024)
Integrating artificial intelligence (AI) into teaching practices is increasingly vital for preparing students for a technology-centric future. This study examined the influence of a case-based AI professional development (PD) program on AI integratio
Externí odkaz:
https://doaj.org/article/08e9a6edae7c4c14aa0681cdb96f0afa
Publikováno v:
Journal of Science Education and Technology. 30:361-379
Machine learning (ML) has been increasingly employed in science assessment to facilitate automatic scoring efforts, although with varying degrees of success (i.e., magnitudes of machine-human score agreements [MHAs]). Little work has empirically exam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b11a5d1744663f38729307360e8faa4e
https://doi.org/10.1007/s10956-020-09875-z
https://doi.org/10.1007/s10956-020-09875-z
Publikováno v:
Journal of Research in Science Teaching. 57:1430-1459
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd1d801dc7c29bdb228b26675b374327
https://doi.org/10.1002/tea.21658
https://doi.org/10.1002/tea.21658
Autor:
Xiaoming Zhai, Lehong Shi
Publikováno v:
Journal of Science Education and Technology. 29:743-757
This study investigated how students’ and teachers’ pedagogical roles in mobile learning moderated the relationship between high school students’ perceived usefulness of mobile technology and the actual use frequency, as well as how students’
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c78380ba75f769b357f90474b5ba154
https://doi.org/10.1007/s10956-020-09852-6
https://doi.org/10.1007/s10956-020-09852-6
Publikováno v:
Studies in Science Education. 56:111-151
Machine learning (ML) is an emergent computerised technology that relies on algorithms built by ‘learning’ from training data rather than ‘instruction’, which holds great potential to revolutionise...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ddcedf848d22086602eef5e2a5f72aa
https://doi.org/10.1080/03057267.2020.1735757
https://doi.org/10.1080/03057267.2020.1735757
Autor:
Lehong Shi
Publikováno v:
Proceedings of the 2022 AERA Annual Meeting.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::391601b45a841e3d7e395625fd655349
https://doi.org/10.3102/1894925
https://doi.org/10.3102/1894925
Autor:
Lehong Shi
Publikováno v:
AERA 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a16414eee1c6736f82d1dd589ccc0d4e
https://doi.org/10.3102/ip.22.1891811
https://doi.org/10.3102/ip.22.1891811