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Almeda, Ma. Victoria; Zuech, Joshua; Utz, Chris; Higgins, Greg; Reynolds, Rob; Baker, Ryan S. – Online Learning, 2018
Online education continues to become an increasingly prominent part of higher education, but many students struggle in distance courses. For this reason, there has been considerable interest in predicting which students will succeed in online courses and which will receive poor grades or drop out prior to completion. Effective intervention depends…
Descriptors: Performance Factors, Online Courses, Electronic Learning, Models
Crehan, Kevin D.; Haladyna, Thomas M. – 1994
More attention is currently being paid to the distractors of a multiple-choice test item (Thissen, Steinberg, and Fitzpatrick, 1989). A systematic relationship exists between the keyed response and distractors in multiple-choice items (Levine and Drasgow, 1983). New scoring methods have been introduced, computer programs developed, and research…
Descriptors: Comparative Analysis, Computer Assisted Testing, Distractors (Tests), Models
Bishop, John; And Others – 1985
This collection contains three studies of the relationship between incentives, learning, and employability. The first study, "Incentives, Learning, and Employability," by John Bishop, models students' choices concerning what to learn and how much effort to spend learning it in terms of the outcome of a comparison of benefits and expected costs and…
Descriptors: Academic Achievement, Behavior Modification, Comparative Analysis, Competition
Goltermann, Glen; Doelker, Richard E., Jr. – 1975
The purpose of this article is to deal with the following issues as they relate to educational grading policy: (1) to examine the use and misuse of grades in education; (2) to explore the use of performance based grading versus traditional grading and compare institutions using traditional grading versus those using performance based or…
Descriptors: Academic Achievement, Affirmative Action, Comparative Analysis, Educational Policy