Toward an improved learning process: the relevance of ethnicity to data mining prediction of students’ performance
- 2 December 2019
- journal article
- research article
- Published by Springer Science and Business Media LLC in SN Applied Sciences
- Vol. 2 (1), 8
- https://doi.org/10.1007/s42452-019-1752-1
Abstract
No abstract availableKeywords
This publication has 26 references indexed in Scilit:
- Exploring instructors’ technology readiness, attitudes and behavioral intentions towards e-learning technologies in Egypt and United Arab EmiratesEducation and Information Technologies, 2016
- Using data mining techniques to predict students at risk of poor performancePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2016
- Teachers’ First-Year Experience with Chromebook Laptops and Their Attitudes Towards Technology IntegrationTechnology, Knowledge and Learning, 2016
- The State of the Art on Educational Data Mining in Higher EducationInternational Journal of Computer Trends and Technology, 2016
- Learning with Data: Visualization to Support Teaching, Learning, and AssessmentTechnology, Knowledge and Learning, 2015
- Significance and Challenges of Big Data ResearchBig Data Research, 2015
- Exploratory Analysis in Learning AnalyticsTechnology, Knowledge and Learning, 2015
- Predicting Student Performance by Using Data Mining Methods for ClassificationCybernetics and Information Technologies, 2013
- Educational Data Mining: A Review of the State of the ArtIEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 2010
- Education, horizontal inequalities and ethnic relations in NigeriaInternational Journal of Educational Development, 2007