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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Helen, Crompton | - |
dc.contributor.author | Diane, Burke | - |
dc.date.accessioned | 2023-04-27T08:01:01Z | - |
dc.date.available | 2023-04-27T08:01:01Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | https://link.springer.com/article/10.1186/s41239-023-00392-8 | - |
dc.identifier.uri | https://dlib.phenikaa-uni.edu.vn/handle/PNK/8361 | - |
dc.description | CC bY | vi |
dc.description.abstract | This systematic review provides unique findings with an up-to-date examination of artificial intelligence (AI) in higher education (HE) from 2016 to 2022. Using PRISMA principles and protocol, 138 articles were identified for a full examination. Using a priori, and grounded coding, the data from the 138 articles were extracted, analyzed, and coded. The findings of this study show that in 2021 and 2022, publications rose nearly two to three times the number of previous years. With this rapid rise in the number of AIEd HE publications, new trends have emerged. The findings show that research was conducted in six of the seven continents of the world. | vi |
dc.language.iso | en | vi |
dc.publisher | Springer | vi |
dc.subject | PRISMA principles | vi |
dc.subject | AIEd HE publications | vi |
dc.title | Artificial intelligence in higher education: the state of the field | vi |
dc.type | Book | vi |
Appears in Collections | ||
OER - Công nghệ thông tin |
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