Literaturnachweis - Detailanzeige
| Autor/inn/en | Qazdar, Aimad; Er-Raha, Brahim; Cherkaoui, Chihab; Mammass, Driss |
|---|---|
| Titel | A Machine Learning Algorithm Framework for Predicting Students Performance: A Case Study of Baccalaureate Students in Morocco |
| Quelle | In: Education and Information Technologies, 24 (2019) 6, S.3577-3589 (13 Seiten)Infoseite zur Zeitschrift
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| Zusatzinformation | ORCID (Qazdar, Aimad) |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 1360-2357 |
| DOI | 10.1007/s10639-019-09946-8 |
| Schlagwörter | Data Analysis; Academic Achievement; At Risk Students; High School Students; Computer Software; Academic Failure; Prediction; Models; Student Records; Management Systems; Computer Assisted Instruction; Physics; Science Achievement; Foreign Countries; Morocco |
| Abstract | The use of machine learning with educational data mining (EDM) to predict learner performance has always been an important research area. Predicting academic results is one of the solutions that aims to monitor the progress of students and anticipates students at risk of failing the academic pathways. In this paper, we present a framework for predicting student performance based on Machine Learning algorithm at H.E.K high school in Morocco from 2016 to 2018. The proposed model was analyzed and tested using student's data collected from The School Management System "MASSAR" (SMS-MASSAR). The dataset used in this study concerns 478 Physics students during the school years: 2015-2016, 2016-2017 and 2017-2018. The predictive performance results showed that our model can make more precise predictions of student's performance. (As Provided). |
| Anmerkungen | Springer. Available from: Springer Nature. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/ |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2020/1/01 |
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