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Trivedi, Shubhendu; Pardos, Zachary A.; Sarkozy, Gabor N.; Heffernan, Neil T. – International Educational Data Mining Society, 2012
Learning a more distributed representation of the input feature space is a powerful method to boost the performance of a given predictor. Often this is accomplished by partitioning the data into homogeneous groups by clustering so that separate models could be trained on each cluster. Intuitively each such predictor is a better representative of…
Descriptors: Homogeneous Grouping, Prediction, Tutors, Cluster Grouping
Baker-Graham, Abigail – 1994
This paper discusses the use of outdoor education activities with adolescent at-risk girls. Many young women in this age group unconsciously adopt stereotypical female roles and perceive their identities in terms of their relationships to males. A women-only group provides space in which girls and young women can search for their identities,…
Descriptors: Adolescents, Dropout Prevention, Females, Foreign Countries
Galloway, Dan; Schwartz, Wendell – 1994
Efforts at one high school to reconsider its practices of ability grouping and explore alternative assessment and grouping practices are described. Assessment of the schools' practices found that students in lower ability groups had a less stimulating curriculum, fewer positive role models, lower motivation, lower expectations for themselves, and…
Descriptors: At Risk Persons, Cooperative Learning, Educational Change, Educational Diagnosis