Do Not Trust a Model Because It is Confident: Uncovering and Characterizing Unknown Unknowns to Student Success Predictors in Online-Based Learning

Author:

Galici Roberta1ORCID,Kaser Tanja2ORCID,Fenu Gianni1ORCID,Marras Mirko1ORCID

Affiliation:

1. Department of Mathematics and Computer Science, University of Cagliari, Italy

2. Machine Learning for Education Laboratory, EPFL, Switzerland

Funder

University of Cagliari

Swiss State Secretariat for Education, Research and lnnovation SERI

Publisher

ACM

Reference33 articles.

1. Predicting academic success in higher education: literature review and best practices

2. Beat the Machine: Challenging Humans to Find a Predictive Model’s;Attenberg Joshua;Unknown Unknowns". ACM J. Data Inf. Qual.,2015

3. Christian Berger , Lidia Alcalay , Alejandra Torretti , and Neva Milicic . 2011. Socio-emotional well-being and academic achievement: Evidence from a multilevel approach. Psicologia: reflexao e critica 24 ( 2011 ), 344–351. Christian Berger, Lidia Alcalay, Alejandra Torretti, and Neva Milicic. 2011. Socio-emotional well-being and academic achievement: Evidence from a multilevel approach. Psicologia: reflexao e critica 24 (2011), 344–351.

4. How to Quantify Student’s Regularity?

5. Moon-Heum Cho and Demei Shen . 2013. Self-regulation in online learning. Distance education 34, 3 ( 2013 ), 290–301. Moon-Heum Cho and Demei Shen. 2013. Self-regulation in online learning. Distance education 34, 3 (2013), 290–301.

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