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Odiel Estrada-Molina; Juanjo Mena; Alexander López-Padrón – International Review of Research in Open and Distributed Learning, 2024
No records of systematic reviews focused on deep learning in open learning have been found, although there has been some focus on other areas of machine learning. Through a systematic review, this study aimed to determine the trends, applied computational techniques, and areas of educational use of deep learning in open learning. The PRISMA…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Open Education, Educational Trends
Jongile, Sonwabo – International Journal on E-Learning, 2022
The identification of predictor variables for students at-risk of dropping out of university has received increased attention in higher education settings internationally concerning the context of origin in which they are developed and the different academic context in which they are introduced, often lacking schema-theoretic perspectives to offer…
Descriptors: Predictor Variables, At Risk Students, Potential Dropouts, College Students
Lenning, Oscar T.; And Others – 1980
The research literature on types of student retention, correlates of retention, and action strategies to improve retention is reviewed. Retention or student persistence can be assessed in terms of completion of a degree of certificate, a program but not a degree, or a term or course. Retention may also be persistence to attain a personal goal but…
Descriptors: Academic Persistence, College Admission, College Attendance, College Environment