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Direct linkDuy M. Pham; Kirk P. Vanacore; Adam C. Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
Effective personalization of education requires knowing how each student will perform under certain conditions, given their specific characteristics. Thus, the demand for interpretable and precise estimation of heterogeneous treatment effects is ever-present. This paper outlines a new approach to this problem based on the Leave-One-Out Potential…
Descriptors: Middle School Students, Middle School Teachers, Middle School Mathematics, Algebra
Performance Indicators in Math: Implications for Brief Experimental Analysis of Academic Performance
VanDerheyden, Amanda M.; Burns, Matthew K. – Journal of Behavioral Education, 2009
Brief experimental analysis (BEA) can be used to specify intervention characteristics that produce positive learning gains for individual students. A key challenge to the use of BEA for intervention planning is the identification of performance indicators (including topography of the skill, measurement characteristics, and decision criteria) that…
Descriptors: Intervention, Curriculum Based Assessment, Mathematics Skills, Educational Indicators
Download full textSmith, Vernon C.; Lange, Adam; Huston, Daniel R. – Journal of Asynchronous Learning Networks, 2012
Community colleges continue to experience growth in online courses. This growth reflects the need to increase the numbers of students who complete certificates or degrees. Retaining online students, not to mention assuring their success, is a challenge that must be addressed through practical institutional responses. By leveraging existing student…
Descriptors: Academic Achievement, At Risk Students, Prediction, Community Colleges
Peer reviewedFederico, Pat-Anthony – Contemporary Educational Psychology, 1986
Twenty-four measures of crystallized intelligence and fluid intelligence were obtained for samples of graduates and failures of an innovative instructional setting where computer-managed mastery learning was implemented to teach elementary electricity and electronics. Results suggest that some unconventional educational environments are not…
Descriptors: Adults, Computer Managed Instruction, Discriminant Analysis, Educational Environment
Brown, Robert M.; Byrd, Carol C. – 1984
To determine the most accurate means of estimating the expected grade or reading level of 61 sixth grade students, three expectancy formulas were compared to a custom regression equation from a user friendly microcomputer program. The expectancy formulas, based in part on student I.Q. and chronological age, and the regression equations were…
Descriptors: Age, Comparative Analysis, Computer Managed Instruction, Computer Programs
Sorensen, Philip H.; Pennell, Roger – 1982
This report was written to provide guidance in the development and evaluation of alternative instructional approaches that hold promise of improving instructional effectiveness. The main focus of the report is on how to identify and test interactive relationships between individual differences among learners and instructional conditions or…
Descriptors: Adults, Computer Managed Instruction, Criterion Referenced Tests, Evaluation Methods
