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Direct linkAlturki, 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
Download full textPrice, Jane, Ed. – 1992
This publication contains 25 papers from a conference on defining quality higher education. Opening sections cover the conference program and members of the conference's steering committee. A representative sampling of papers includes the following: "The College Student Experiences Questionnaire: A Follow-Up Study of Academic and Social…
Descriptors: Accreditation (Institutions), College Faculty, College Freshmen, College Students
