A Machine Learning Approach for Predicting Students’ Second-Year Outcomes

Author:

Kubayi Shiluva Claudia,Jadhav Ashwini,Ajoodha Ritesh

Publisher

Springer Nature Singapore

Reference17 articles.

1. Koen C, Cele M, Libhaber A (2006) Student activism and student exclusions in South Africa. Int J Educ Dev 26:404–414

2. Rooney C, Van Walbeek C (2015) Some determinants of academic exclusion and graduation in three faculties at UCT

3. Zhang G, Anderson TJ, Ohland MW, Thorndyke BR (2004) Identifying factors influencing engineering student graduation: a longitudinal and cross-institutional study. J Eng Educ 93(4):313–320

4. Poggendorf BP (2013) Exploring predicted versus actual first-to-second year retention rates: a study of evangelical Lutheran church in America colleges. Ph.D. dissertation

5. Anand P, Herrington A, Agostinho S (2008) Constructivist-based learning using location-aware mobile technology: an exploratory study. In: EdMedia+ innovate learning. Association for the Advancement of Computing in Education (AACE), pp 2312–2316

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