Using Text Mining to Illuminate How Community and Technical Colleges Adapt During COVID-19
Author:
Affiliation:
1. Advanced Studies in Education, California State University Stanislaus, Turlock, California, USA
2. Educational Leadership and Policy Analysis, University of Wisconsin-Madison, Madison, Wisconsin, USA
Funder
National Science Foundation
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/10668926.2024.2355883
Reference52 articles.
1. Air Educause & Nacubo. (2022). The joint statement on analytics. https://changewithanalytics.com/statement/
2. Amour M. S. (2020 November 19). Who’s up who’s down and why. Inside Higher Ed. https://www.insidehighered.com/news/2020/11/19/community-college-enrollments-down-nationally-not-everywhere
3. Impacts of the COVID-19 Pandemic on Life of Higher Education Students: A Global Perspective
4. Faculty perspectives on work from home: Teaching efficacy, constraints and challenges during COVID’ 19 lockdown
5. On Finding the Natural Number of Topics with Latent Dirichlet Allocation: Some Observations
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
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