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Estimating Students' Adjustment Level in Distance Education Using Machine Learning and Resampling
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Ayse Alkan – International Journal of Technology in Education and Science, 2025
COVID-19's impact catalyzed the integration of distance education into our lives, shaping a crucial facet of modern learning. Initially, students, educators, and administrators encountered diverse challenges in navigating this paradigm shift. Swiftly addressing these hurdles promises enhanced efficacy in remote education. This research, blending…
Descriptors: Student Adjustment, Distance Education, Elementary Secondary Education, College Students