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Direct linkGontzis, Andreas F.; Kotsiantis, Sotiris; Panagiotakopoulos, Christos T.; Verykios, Vassilios S. – Interactive Learning Environments, 2022
Attrition is one of the main concerns in distance learning due to the impact on the incomes and institutions reputation. Timely identification of students at risk has high practical value in effective students' retention services. Big Data mining and machine learning methods are applied to manipulate, analyze and predict students' failure,…
Descriptors: Student Attrition, Distance Education, At Risk Students, Achievement
Gkontzis, Andreas F.; Kotsiantis, Sotiris; Panagiotakopoulos, Christos T.; Verykios, Vassilios S. – Interactive Learning Environments, 2022
Attrition is one of the main concerns in distance learning due to the impact on the incomes and institutions reputation. Timely identification of students at risk has high practical value in effective students' retention services. Big Data mining and machine learning methods are applied to manipulate, analyze, and predict students' failure,…
Descriptors: Student Attrition, Distance Education, At Risk Students, Achievement
Download full textKidd, Julie K.; McKnight, Patrick E.; Gallington, Debbie A.; Strauss, Lauren I.; Lyu, Hao; Lauritzen, Hans Christian; Choe, Jihyae; Holmberg, Courtney A.; Pasnak, Robert – Grantee Submission, 2021
Cognitive abilities, executive functions (EFs) and patterning, and simple measures of early literacy and mathematics were measured for 275 kindergartners during the second and third month of formal schooling. An exploratory factor analysis revealed four factors. The first was a literacy factor, to which a number series scale made a small…
Descriptors: Mathematics Skills, Reading Skills, Cognitive Ability, Kindergarten
