Construction and Analysis of College Students’ Career Expectation Model Based on Data Mining
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-60777-6_42
Reference7 articles.
1. Lent, R.W., Morris, T.R., Penn, L.T., Ireland, G.W.: Social-cognitive predictors of career exploration and decision-making: Longitudinal test of the career self-management model. J. Couns. Psychol. 66(2), 184–194 (2019). https://doi.org/10.1037/cou0000307. Epub 2018 Aug 9 PMID: 30091621
2. Xu, Q., Chen, S., Xu, Y., Ma, C.: Detection and analysis of graduate students’ academic emotions in the online academic forum based on text mining with a deep learning approach. Front. Psychol. 20(14), 1107080 (2023). https://doi.org/10.3389/fpsyg.2023.1107080. PMID:37151331, PMCID:PMC10157494
3. Wei, Y., Rao, X., Fu, Y., Song, L., Chen, H., Li, J.: Machine learning prediction model based on enhanced bat algorithm and support vector machine for slow employment prediction. PLoS ONE 18(11), e0294114 (2023). https://doi.org/10.1371/journal.pone.0294114. PMID:37943766, PMCID:PMC10635481
4. Guleria, P., Sood, M.: Explainable AI and machine learning: performance evaluation and explainability of classifiers on educational data mining inspired career counseling. Educ. Inf. Technol. (Dordr) 28(1), 1081–1116. (2023). https://doi.org/10.1007/s10639-022-11221-2. Epub 2022 Jul 16. PMID: 35875826, PMCID: PMC9287825
5. Fedushko, S., Ustyianovych, T., Syerov, Y.: Intelligent academic specialties selection in higher education for Ukrainian entrants: a recommendation system. J. Intell. 10(2), 32 (2022). https://doi.org/10.3390/jintelligence10020032. PMID:35736004, PMCID:PMC9225517
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