Research on Construction of Student Academic Early Warning Model Based on Ensemble Learning
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9499-1_18
Reference22 articles.
1. Wang, Z., Zhu, C., Ying, Z., Wang, B., Jin, X., Yang, H.: Design and implementation of early warning system based on educational big data. In: International Conference on Systems and Informatics (ICSAI), pp. 549–553. IEEE (2018)
2. Yang, P., Ming, Y.: Research on the management model of university students academic early warning based on big data analysis. In: International Conference on Communications, Information System and Computer Engineering (CISCE), pp. 639–642. IEEE (2019)
3. Akçapınar, G., Arif, A., Petek, A.: Using learning analytics to develop early-warning system for at-risk students. Int. J. Educ. Technol. High. Educ. 16(1), 1–20 (2019)
4. Bañeres, Rodríguez, M.E., Guerrero-Roldán, A.E., Karadeniz, A.: An early warning system to detect at-risk students in online higher education. Appl. Sci. 10(13), 4427 (2020)
5. Raffaghelli, J.E., Rodríguez, M.E., Guerrero-Roldán, A.E., Baneres, D.: Applying the UTAUT model to explain the students’ acceptance of an early warning system in higher education. Comput. Educ. 182, 104468 (2022)
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