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Taylor, Sarah; Fawver, Bradley; Thomas, Joseph L.; Williams, A. Mark; Lohse, Keith R. – Journal of Motor Learning and Development, 2022
Contextual interference is an established phenomenon in learning research; random practice schedules are associated with poorer performance, but superior learning, compared with blocked practice schedules. We present a secondary analysis of N = 84 healthy young adults, replicating the contextual interference effect in a time estimation task. We…
Descriptors: Error Correction, Young Adults, Drills (Practice), Scheduling
Goswami, Sukalyan; Mukherjee, Kuntal – International Journal of Web-Based Learning and Teaching Technologies, 2020
Virtual resources team up to create a computational grid, which is used in computation-intensive problem solving. A majority of these problems require high performance resources to compute and generate results, making grid computation another type of high performance computing. The optimization in computational grids relates to resource…
Descriptors: Mathematics, Scheduling, Computation, Resources
Luke G. Eglington; Philip I. Pavlik – Grantee Submission, 2020
Decades of research has shown that spacing practice trials over time can improve later memory, but there are few concrete recommendations concerning how to optimally space practice. We show that existing recommendations are inherently suboptimal due to their insensitivity to time costs and individual- and item-level differences. We introduce an…
Descriptors: Scheduling, Drills (Practice), Memory, Testing
Luke G. Eglington; Philip I. Pavlik Jr. – npj Science of Learning, 2020
Decades of research has shown that spacing practice trials over time can improve later memory, but there are few concrete recommendations concerning how to optimally space practice. We show that existing recommendations are inherently suboptimal due to their insensitivity to time costs and individual- and item-level differences. We introduce an…
Descriptors: Scheduling, Drills (Practice), Memory, Testing
Bahargam, Sanaz; Erdos, Dóra; Bestavros, Azer; Terzi, Evimaria – International Educational Data Mining Society, 2015
Whether teaching in a classroom or a Massive Online Open Course it is crucial to present the material in a way that benefits the audience as a whole. We identify two important tasks to solve towards this objective; (1) group students so that they can maximally benefit from peer interaction and (2) find an optimal schedule of the educational…
Descriptors: Grouping (Instructional Purposes), Scheduling, Time Factors (Learning), Individualized Instruction
Kelchen, Robert; Goldrick-Rab, Sara – Journal of Higher Education, 2015
The persistently low college attainment rates of youth from poor families are partly attributable to their uncertainty about college affordability. The current federal financial aid system does not provide specific information about college costs until just before college enrollment and the information is only available to students completing a…
Descriptors: Cost Effectiveness, Input Output Analysis, Federal Aid, Student Loan Programs

Colvin, Robert H.; Taylor, D. Dax – Journal of Medical Education, 1978
By developing, validating, and using a formula for predicting students' time commitment to their studies, those responsible for developing curricula can make their planning more precise. The Estimated Module Work-Study Time formula developed at Southern Illinois University School of Medicine is described. (Author/LBH)
Descriptors: Competency Based Education, Computation, Curriculum Development, Guidelines

Whitin, David J. – Young Children, 1994
Suggests ways that children's literature can be used to extend mathematical thinking to daily life and events in the preschool and primary grades classroom. Discusses books pertaining to such events as the calendar, celebrating birthdays, the daily schedule, taking attendance, and the lunch menu. (BB)
Descriptors: Attendance, Books, Childrens Literature, Computation