Monitoring Student Performance Based on Educational Measurements

Author:

Liubchenko ViraORCID,Komleva NataliiaORCID,Zinovatna SvitlanaORCID

Publisher

Springer Nature Switzerland

Reference15 articles.

1. Tandberg, D.A., Martin, R.R.: Quality Assurance and Improvement in Higher Education: The Role of the States. State Higher Education Executive Officers Association, Washington (2019)

2. Weingarten, H.P., Hicks, M., Kaufman, A., Chatoor, K., MacKay, E., Pichette, J.: Postsecondary Education Metrics for the 21st Century. Higher Education Quality Council of Ontario, Toronto (2019)

3. Crissien-Borrero, T.-J., Velásquez-Rodríguez, J., Neira-Rodado, D., Turizo-Martínez, L.-G.: Measuring the quality of management in education. Review article. El profesional de la información 28(6), e280604 (2019)

4. Batool, S., Rashid, J., Nisar, M., Kim, J., Kwon, H.Y., Hussain, A.: Educational data mining to predict students’ academic performance: a survey study. Educ. Inf. Technol. 28(1), 905–971 (2022)

5. Guo, T., Bai, X., Tian, X., Firmin, S., Xia, F.: Educational anomaly analytics: features, methods, and challenges. Front. Big Data 4, 811840 (2022)

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