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Direct linkBotts, Ryan T.; Carter, Lori; Crockett, Catherine – PRIMUS, 2018
The efforts to improve the quantitative reasoning (quantitative literacy) skills of college students in the United States have been gaining momentum in recent years. At the same time, the blended learning approach to course delivery has gained in popularity, promising better learning with flexible modalities and pace. This paper presents the…
Descriptors: Blended Learning, Statistical Analysis, Comparative Analysis, Outcomes of Education
Download full textSpoon, Kelly; Beemer, Joshua; Whitmer, John C.; Fan, Juanjuan; Frazee, James P.; Stronach, Jeanne; Bohonak, Andrew J.; Levine, Richard A. – Journal of Educational Data Mining, 2016
Random forests are presented as an analytics foundation for educational data mining tasks. The focus is on course- and program-level analytics including evaluating pedagogical approaches and interventions and identifying and characterizing at-risk students. As part of this development, the concept of individualized treatment effects (ITE) is…
Descriptors: Data Analysis, Individualized Instruction, Teaching Methods, Intervention
BEATTY, LESLIE – 1961
A BOOKLET DESIGNED FOR ELEMENTARY SCHOOL STUDENTS TO BE USED INDEPENDENTLY FROM AND IN ADDITION TO THE REGULAR CLASSROOM CURRICULUM IN MATHEMATICS IS PRESENTED. THE PURPOSE IS TO TEACH THE FIFTH- OR SIXTH-GRADE STUDENT TO USE GOOD JUDGMENT AND REASONING IN LOCATING THE DECIMAL POINT. A DISCUSSION OF THE PURPOSE AND IMPORTANCE OF BEING ABLE,…
Descriptors: Concept Formation, Division, Elementary School Students, Fractions
