Strategy Development and Feedback Processing During Complex Category Learning

In this study, 38 young adults participated in a probabilistic A/B prototype category learning task under observational and feedback-based conditions. The study compared learning success (testing accuracy) and strategy use (multi-cue vs. single feature vs. random pattern) between training conditions...

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Main Authors: Victoria Tilton-Bolowsky, Sofia Vallila-Rohter, Yael Arbel
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-11-01
Series:Frontiers in Psychology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyg.2021.672330/full
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author Victoria Tilton-Bolowsky
Sofia Vallila-Rohter
Yael Arbel
author_facet Victoria Tilton-Bolowsky
Sofia Vallila-Rohter
Yael Arbel
author_sort Victoria Tilton-Bolowsky
collection DOAJ
description In this study, 38 young adults participated in a probabilistic A/B prototype category learning task under observational and feedback-based conditions. The study compared learning success (testing accuracy) and strategy use (multi-cue vs. single feature vs. random pattern) between training conditions. The feedback-related negativity (FRN) and P3a event related potentials were measured to explore the relationships between feedback processing and strategy use under a probabilistic paradigm. A greater number of participants were found to utilize an optimal, multi-cue strategy following feedback-based training than observational training, adding to the body of research suggesting that feedback can influence learning approach. There was a significant interaction between training phase and strategy on FRN amplitude. Specifically, participants who used a strategy in which category membership was determined by a single feature (single feature strategy) exhibited a significant decrease in FRN amplitude from early training to late training, perhaps due to reduced utilization of feedback or reduced prediction error. There were no significant main or interaction effects between valence, training phase, or strategy on P3a amplitude. Findings are consistent with prior research suggesting that learners vary in their approach to learning and that training method influences learning. Findings also suggest that measures of feedback processing during probabilistic category learning may reflect changes in feedback utilization and may further illuminate differences among individual learners.
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spelling doaj.art-dfbb58dd4fce45428841ff8ec66d1b772022-12-21T20:07:45ZengFrontiers Media S.A.Frontiers in Psychology1664-10782021-11-011210.3389/fpsyg.2021.672330672330Strategy Development and Feedback Processing During Complex Category LearningVictoria Tilton-BolowskySofia Vallila-RohterYael ArbelIn this study, 38 young adults participated in a probabilistic A/B prototype category learning task under observational and feedback-based conditions. The study compared learning success (testing accuracy) and strategy use (multi-cue vs. single feature vs. random pattern) between training conditions. The feedback-related negativity (FRN) and P3a event related potentials were measured to explore the relationships between feedback processing and strategy use under a probabilistic paradigm. A greater number of participants were found to utilize an optimal, multi-cue strategy following feedback-based training than observational training, adding to the body of research suggesting that feedback can influence learning approach. There was a significant interaction between training phase and strategy on FRN amplitude. Specifically, participants who used a strategy in which category membership was determined by a single feature (single feature strategy) exhibited a significant decrease in FRN amplitude from early training to late training, perhaps due to reduced utilization of feedback or reduced prediction error. There were no significant main or interaction effects between valence, training phase, or strategy on P3a amplitude. Findings are consistent with prior research suggesting that learners vary in their approach to learning and that training method influences learning. Findings also suggest that measures of feedback processing during probabilistic category learning may reflect changes in feedback utilization and may further illuminate differences among individual learners.https://www.frontiersin.org/articles/10.3389/fpsyg.2021.672330/fullstrategy developmentcategory learningfeedback processingfeedback related negativityprobabilistic learning
spellingShingle Victoria Tilton-Bolowsky
Sofia Vallila-Rohter
Yael Arbel
Strategy Development and Feedback Processing During Complex Category Learning
Frontiers in Psychology
strategy development
category learning
feedback processing
feedback related negativity
probabilistic learning
title Strategy Development and Feedback Processing During Complex Category Learning
title_full Strategy Development and Feedback Processing During Complex Category Learning
title_fullStr Strategy Development and Feedback Processing During Complex Category Learning
title_full_unstemmed Strategy Development and Feedback Processing During Complex Category Learning
title_short Strategy Development and Feedback Processing During Complex Category Learning
title_sort strategy development and feedback processing during complex category learning
topic strategy development
category learning
feedback processing
feedback related negativity
probabilistic learning
url https://www.frontiersin.org/articles/10.3389/fpsyg.2021.672330/full
work_keys_str_mv AT victoriatiltonbolowsky strategydevelopmentandfeedbackprocessingduringcomplexcategorylearning
AT sofiavallilarohter strategydevelopmentandfeedbackprocessingduringcomplexcategorylearning
AT yaelarbel strategydevelopmentandfeedbackprocessingduringcomplexcategorylearning