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Deeva, Galina; De Smedt, Johannes; De Weerdt, Jochen – IEEE Transactions on Learning Technologies, 2022
Due to the unprecedented growth in available data collected by e-learning platforms, including platforms used by massive open online course (MOOC) providers, important opportunities arise to structurally use these data for decision making and improvement of the educational offering. Student retention is a strategic task that can be supported by…
Descriptors: Electronic Learning, MOOCs, Dropouts, Prediction
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Andrea Zanellati; Stefano Pio Zingaro; Maurizio Gabbrielli – IEEE Transactions on Learning Technologies, 2024
Academic dropout remains a significant challenge for education systems, necessitating rigorous analysis and targeted interventions. This study employs machine learning techniques, specifically random forest (RF) and feature tokenizer transformer (FTT), to predict academic attrition. Utilizing a comprehensive dataset of over 40 000 students from an…
Descriptors: Dropouts, Dropout Characteristics, Potential Dropouts, Artificial Intelligence
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UNICEF Office of Research - Innocenti, 2022
Joint efforts by the Government of Nepal, development partners and key stakeholders to achieve SDG 4 by 2030 have improved education access, participation and retention. However, learning outcomes in Nepal remain stagnant. What resources and contextual factors are associated with good school performance in Nepal? By merging and analyzing existing…
Descriptors: Foreign Countries, School Effectiveness, Data Use, Influences
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Stephen M. McPherson – SRATE Journal, 2025
This quantitative based applied research study examined data collected fromstudents who have withdrawnfromor completed aneducator preparation program (EPP) ina small rural public community college in WestVirginia. This study compared studentretention rates with Frontier andRemote (FAR) designation by home zip code. These data informedthe research…
Descriptors: Teacher Education, Rural Schools, Public Colleges, Community Colleges
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De Silva, Liyanachchi Mahesha Harshani; Chounta, Irene-Angelica; Rodríguez-Triana, María Jesús; Roa, Eric Roldan; Gramberg, Anna; Valk, Aune – Journal of Learning Analytics, 2022
Although the number of students in higher education institutions (HEIs) has increased over the past two decades, it is far from assured that all students will gain an academic degree. To that end, institutional analytics (IA) can offer insights to support strategic planning with the aim of reducing dropout and therefore of minimizing its negative…
Descriptors: College Students, Dropouts, Dropout Prevention, Data Analysis
Weisz, Sarah, Ed. – Healthy Schools Campaign, 2022
Taking action to address health-related chronic absenteeism can have a powerful impact on students' academic success and build the foundation for healthy, successful lives. This document focuses on providing educators, particularly school district decision-makers, with knowledge and practical guidance for creating meaningful change to address…
Descriptors: Attendance, Diseases, Dental Health, Behavior