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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