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Advancements in Feedback Research: Beyond Perceptions to Learning Impact
Sun, April 27, 1:30 to 3:00pm MDT (1:30 to 3:00pm MDT), The Colorado Convention Center, Floor: Terrace Level, Bluebird Ballroom Room 3BSession Type: Symposium
Abstract
Feedback is a powerful influence on student learning and a current area of educational research. The Feedback Interaction Model by Lipnevich and Smith emphasizes the importance of perceptions and individual differences in the feedback process. This symposium explores recent advancements in feedback research, focusing on how these elements interact to affect learning outcomes. Findings from five studies highlight the role of feedback characteristics, students’ characteristics, and perceptions in feedback effectiveness across diverse educational contexts, revealing how students perceive feedback according to their language background. The role of individual differences in feedback research, AI-generated feedback effectiveness, and social dynamics in feedback transmission are examined. A leading scholar in the field of feedback research will critically discuss the findings and future directions.
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Papers
Reading and Writing Feedback Perceptions Across K-20 Contexts: A Systematic Review - Danielle N. Berry, University of Oklahoma; Molly L. Taylor, Virginia Commonwealth University; Korinthia D. Nicolai, Indiana University; Alison C. Koenka, University of Oklahoma; Nicole Barnes, American Psychological Association; Luciana C. de Oliveira, Virginia Commonwealth University; Sharon Zumbrunn, Virginia Commonwealth University
“I’m Sorry, Dave. This Feedback is not Constructive”: Comparing Student Perceptions with Generative AI - Pedram Zarei, Texas State Unniversity; Diane L. Schallert, University of Texas at Austin; Carlton J. Fong, Texas State University; Sajjad Mahdavivand Fard, Texas State University; Ali Dezhkameh Bejoshin, Texas State University
Social Network Analysis of Peer Feedback Flow in High School Students: Patterns, Predictors, and Implications - Anastasiya A. Lipnevich, City University of New York; Ligia Tomazin, Graduate Center - CUNY; Carolina Lopera-Oquendo, City University of New York
Characterizing and Understanding Contextual Variation in Learning From Providing and Receiving Feedback - Christian D. Schunn, University of Pittsburgh; Qiuchen Yu, Central China Normal University; Jing Yang, Dalian University of Foreign Languages
And What if They had a Choice? The Impact of Learner Control Over Automated Feedback - Livia Kuklick, Humboldt University - Berlin