ManyClasses 1: Assessing the generalizable effect of immediate versus delayed feedback across many college classes
Autor: | Emily Fyfe, Joshua R de Leeuw, Paulo F. Carvalho, Robert Goldstone, Janelle Sherman, David Admiraal, Laura Alford, Alison Bonner, Chad Brassil, Christopher Brooks, Tracey Carbonetto, Sau Hou Chang, Laura Cruz, Melina Czymoniewicz-Klippel, Frances Daniel, Michelle D Driessen, Noel Habashy, Carrie Hanson-Bradley, Ed Hirt, Virginia Hojas Carbonell, Daniel Jackson, Shay Jones, Jennifer Keagy, Brandi Keith, Sarah Malmquist, Barry McQuarrie, Kelsey Metzger, Maung Min, Sameer Patil, Ryan Patrick, Etienne Pelaprat, Maureen L Petrunich-Rutherford, Meghan Porter, Kristina Prescott, Cathrine Reck, Terri Renner, Eric Robbins, Adam Smith, Phil Stuczynski, Jaye Thompson, Nikolaos Tsotakos, Judith Turk, Kyle Unruh, Jennifer Webb, Stephanie Whitehead, Elaine Wisniewski, Benjamin Motz |
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Rok vydání: | 2019 |
Předmět: |
PsyArXiv|Social and Behavioral Sciences
PsyArXiv|Social and Behavioral Sciences|Educational Psychology bepress|Social and Behavioral Sciences PsyArXiv|Social and Behavioral Sciences|Cognitive Psychology bepress|Education|Educational Psychology bepress|Social and Behavioral Sciences|Psychology|Cognitive Psychology |
Popis: | Psychology researchers have long attempted to identify educational practices that improve student learning. However, experimental research on these practices is often conducted in laboratory contexts or in a single course, threatening the external validity of the results. In this paper, we establish an experimental paradigm for evaluating the benefits of recommended practices across a variety of authentic educational contexts – a model we call ManyClasses. The core feature is that researchers examine the same research question and measure the same experimental effect across many classes spanning a range of topics, institutions, teacher implementations, and student populations. We report the first ManyClasses study, which examined how the timing of feedback on class assignments, either immediate or delayed by a few days, affected subsequent performance on class assessments. Across 38 classes, the overall estimate for the effect of feedback timing was 0.002 (95% HDI -0.05 to 0.05), indicating that there was no effect of immediate versus delayed feedback on student learning that generalizes across classes. Further, there were no credibly non-zero effects for 40 pre-registered moderators related to class-level and student-level characteristics. Yet, our results provide hints that in certain kinds of classes, which were under-sampled in the current study, there may be modest advantages for delayed feedback. More broadly, these findings provide insights regarding the feasibility of conducting within-class randomized experiments across a range of naturally occurring learning environments. |
Databáze: | OpenAIRE |
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