Analyzing the relation among different factors leading to Ph.D. dropout using numerical association rule mining
Author:
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Education
Link
https://link.springer.com/content/pdf/10.1007/s10639-023-12260-z.pdf
Reference70 articles.
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3. Aulck, L., Velagapudi, N., Blumenstock, J., & West, J. (2016). Predicting student dropout in higher education. arXiv. https://doi.org/10.48550/arXiv.1606.06364
4. Austin, A. E. (2002). Preparing the next generation of faculty: Graduate school as socialization to the academic career. The journal of higher education, 73(1), 94–122. https://doi.org/10.1080/00221546.2002.11777132
5. Bair, C. R., & Haworth, J. G. (2005). Doctoral student attrition and persistence: A meta-synthesis of research. Higher education: Handbook of theory and research, 481-534. https://doi.org/10.1007/1-4020-2456-8
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