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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Eugene Yujun, Fu | - |
dc.contributor.author | Grace, Ngai | - |
dc.contributor.author | Hong Va, Leong | - |
dc.date.accessioned | 2023-04-10T09:47:12Z | - |
dc.date.available | 2023-04-10T09:47:12Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | https://link.springer.com/article/10.1007/s10639-023-11592-0 | - |
dc.identifier.uri | https://dlib.phenikaa-uni.edu.vn/handle/PNK/7726 | - |
dc.description | CC BY | vi |
dc.description.abstract | As a high-impact educational practice, service-learning has demonstrated success in positively influencing students’ overall development, and much work has been done on investigating student learning outcomes from service-learning. A particular direction is to model students’ learning outcomes in the context of their learning experience, i.e., the various student, course, and pedagogical elements. It contributes to a better understanding of the learning process, a more accurate prediction of students’ attainments on the learning outcomes, and improvements in the design of learning activities to maximize student learning. | vi |
dc.language.iso | en | vi |
dc.publisher | Springer | vi |
dc.subject | high-impact educational practic | vi |
dc.subject | service-learning | vi |
dc.title | Using attention-based neural networks for predicting student learning outcomes in service-learning | vi |
dc.type | Book | vi |
Appears in Collections | ||
OER - Công nghệ thông tin |
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