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Direct linkJose Silva-Lugo; Heather Maness – Sage Research Methods Cases, 2025
The study provides a detailed methodological approach, cross-industry standard process for data mining, for predicting at-risk students with an imbalanced class. The objective was to identify the best machine learning model for predicting students at risk of failing the course during weeks 2-8 of the semester. We encountered issues in the dataset,…
Descriptors: Prediction, Predictor Variables, At Risk Students, Information Retrieval
Download full textPavešic, Barbara Japelj, Ed.; Koršnáková, Paulína, Ed.; Meinck, Sabine, Ed. – International Association for the Evaluation of Educational Achievement, 2022
This open access book brings together national experts from across the Dinaric region to rigorously review IEA's Trends in International Mathematics and Science Study (TIMSS) 2019 grade four data to develop a multidimensional and culturally sensitive perspective on their TIMSS 2019 primary-level results. The Dinaric region, named after the Dinaric…
Descriptors: Foreign Countries, Elementary Secondary Education, Science Achievement, International Assessment
