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Luis, Ricardo M. Meira Ferrão; Llamas-Nistal, Martin; Iglesias, Manuel J. Fernández – Smart Learning Environments, 2022
E-learning students have a tendency to get demotivated and easily dropout from online courses. Refining the learners' involvement and reducing dropout rates in these e-learning based scenarios is the main drive of this study. This study also shares the results obtained and crafts a comparison with new and emerging commercial solutions. In a…
Descriptors: Artificial Intelligence, Identification, Electronic Learning, Dropout Characteristics
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Hamilton, Stephen F. – Teachers College Record, 1986
The author considers the effect of raising school standards on the dropout rate. Research related to dropout prevention programs is reviewed in order to identify charactertistics of effective programs. The West German system of early student differentiation is examined. (MT)
Descriptors: Academic Standards, Comparative Analysis, Dropout Prevention, Dropout Rate
Ascher, Carol; Schwartz, Wendy – 1987
Determining how many students drop out of school and why they leave is not easy. The definition of a "dropout" varies from school district to school district, and the mobility of students makes counting them accurately nearly impossible. In an effort to define dropouts in a way that can be applied uniformly across the country, a…
Descriptors: Definitions, Dropout Characteristics, Dropout Prevention, Dropout Rate