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Alturki, Sarah; Hulpu?, Ioana; Stuckenschmidt, Heiner – Technology, Knowledge and Learning, 2022
The tremendous growth of educational institutions' electronic data provides the opportunity to extract information that can be used to predict students' overall success, predict students' dropout rate, evaluate the performance of teachers and instructors, improve the learning material according to students' needs, and much more. This paper aims to…
Descriptors: Grade Prediction, Academic Achievement, Data Use, Dropout Rate
Feygin, Amy; Miller, Trey; Poole, Jenny; Hatcher, Mark; Choi, Linda – College Completion Network, 2022
From fall 2021 to summer 2022, the American Institutes for Research (AIR) conducted virtual focus groups with administrators at 47 colleges: a nationally representative sample of 36 2-year and broad-access 4-year colleges and a purposive sample of 11 colleges selected for their track record with advising. The study identified four key findings…
Descriptors: Academic Advising, College Students, College Freshmen, Administrators