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Direct linkNahar, Khaledun; Shova, Boishakhe Islam; Ria, Tahmina; Rashid, Humayara Binte; Islam, A. H. M. Saiful – Education and Information Technologies, 2021
Information is everywhere in a hidden and scattered way. It becomes useful when we apply Data mining to extracts the hidden, meaningful, and potentially useful patterns from these vast data resources. Educational data mining ensures a quality education by analyzing educational data based on various aspects. In this paper, we have analyzed the…
Descriptors: Learning Analytics, College Students, Engineering Education, Data Collection
Download full textHuberty, Carl J.; Smith, Douglas U. – 1975
Eight discriminators were identified and data were obtained from the records of 80 graduate students who attained one of four achievement levels at the conclusion of a beginning course in educational statistics. Although the internal discriminatory power of the set of eight measures was very high, estimates of the true power were discouragingly…
Descriptors: Academic Achievement, Classification, Courses, Grades (Scholastic)
