Investigating possibilities of mathematical models to identify at-risk students in the South African context

Appel, Vaughan Van

doi:10.18820/2519593x/pie.v37i2.1

Cited by 2 publications

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“…The discussion explores the EDM process within these systems, highlighting its significance in extracting meaningful insights from educational data. Chweya et al, 2020;Coronel & Morris, 2016;Du et al, 2020;Hasan et al, 2020;Khedr & El Seddawy, 2015;Li & Xu, 2023;Liang et al, 2016;Lottering et al, 2020;Matsebula & Mnkandla, 2016;Meghji et al, 2018, p. 2;Raghavjee et al, 2021;Ray & Saeed, 2018;Romero & Ventura, 2013;Roy & Singh, 2017;Singh & Pal, 2020;Thakar, 2015;Vambe & Sibanda, 2016;Wanjau & Muketha, 2018;Zohair & Mahmoud, 2019) Justification for the Focus on EDM over Learning Analytics…”

Section: Educational Data Miningmentioning

confidence: 99%

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Using educational data mining to predict sub-Saharan African science, technology, engineering, and mathematics students’ academic performance: a systematic review.

Mhlongo

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moulded the research idea into reality, and their support and empathy also contributed to the continuation and completion of this research. I also want to thank Ms. Deborah Cunynghame for her continuous assistance and help with the administrative tasks of my research. I also want to thank my family, friends, and colleagues who provided the much-needed moral and technical support. Finally, I want to thank the almighty God for giving me the idea, will, and a constant supply of strength to complete my research.

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Section: Educational Data Miningmentioning

confidence: 99%

“…EDM can assist HEIs in understanding the relationship between students and educators. It can predict the potential for negative student behaviours and the potential for dropout and students' academic performance (Vambe & Sibanda, 2016). The effectiveness and quality of decision-making can be significantly improved using EDM.…”

Section: Edm In Educational Systemsmentioning

confidence: 99%

Using educational data mining to predict sub-Saharan African science, technology, engineering, and mathematics students’ academic performance: a systematic review.

Mhlongo

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A Systematic Review of Research on the Use of Mathematical Modelling in the South African Education

Jakobsen,

Mhakure

2024

International Perspectives on the Teaching and Learning of Mathematical Modelling

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Investigating possibilities of mathematical models to identify at-risk students in the South African context

Cited by 2 publications

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Using educational data mining to predict sub-Saharan African science, technology, engineering, and mathematics students’ academic performance: a systematic review.

Using educational data mining to predict sub-Saharan African science, technology, engineering, and mathematics students’ academic performance: a systematic review.

A Systematic Review of Research on the Use of Mathematical Modelling in the South African Education

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