Where do they go next? Causal inference-based prediction and visual analysis of graduates’ first destination
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12650-024-01002-z.pdf
Reference41 articles.
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2. Alicioglu G, Sun B (2022) A survey of visual analytics for explainable artificial intelligence methods. Comput Graph 102:502–520. https://doi.org/10.1016/j.cag.2021.09.002
3. Alyahyan E, Düştegör D (2020) Predicting academic success in higher education: literature review and best practices. Int J Educ Technol High Educ 17:1–21. https://doi.org/10.1186/s41239-020-0177-7
4. Beaulac C, Rosenthal JS (2019) Predicting university students’ academic success and major using random forests. Res High Educ 60:1048–1064. https://doi.org/10.1007/s11162-019-09546-y
5. Chen Y, Zhai L (2023) A comparative study on student performance prediction using machine learning. Educ Inf Technol 28(9):12039–12057. https://doi.org/10.1007/s10639-023-11672-1
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