Failure to Learn From Failure Is Mitigated by Loss-Framing and Corrective Feedback: A Replication and Test of the Boundary Conditions of the Tune-Out Effect

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Standard

Failure to Learn From Failure Is Mitigated by Loss-Framing and Corrective Feedback: A Replication and Test of the Boundary Conditions of the Tune-Out Effect. / Keith, Nina; Horvath, Dorothee; Klamar, Alexander et al.
in: Journal of Experimental Psychology: General, Jahrgang 151, Nr. 8, 01.08.2022, S. 19-25.

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Harvard

APA

Vancouver

Bibtex

@article{7ac84dab028b48eb89b0942a9ef4a86d,
title = "Failure to Learn From Failure Is Mitigated by Loss-Framing and Corrective Feedback: A Replication and Test of the Boundary Conditions of the Tune-Out Effect",
abstract = "Do people learn from failure or do they mentally “tune-out” upon failure feedback, which in turn undermines learning? Recent research (Eskreis-Winkler & Fishbach, 2019) has suggested the latter, whereas research in educational and work settings indicates that failure can lead to more learning than can success and error-free performance. We conducted two preregistered experiments to replicate the tune-out effect and to test two potential boundary conditions (N = 520). The tune-out effect fully replicated in those experimental conditions that represented close replications of the original study, underscoring the reliability of the original effect. However, the effect disappeared when the same monetary incentives for participation were expressed in terms of a loss (i.e., losing money for each wrong answer) rather than a gain (i.e., earning money for each correct answer; Experiment 1). The effect also disappeared when additional corrective feedback was given (Experiment 2). It seems that switching from gain to loss framing or giving corrective feedback (vs. no corrective feedback) are substantial and meaningful variations of the original paradigm that constitute boundary conditions of the tune-out effect. These results help explain the conflicting findings on learning from failure and suggest that in many applied settings, tuning out upon failure might not be an option",
keywords = "learning from errors, learning from failure, loss aversion, corrective feedback, Management studies, Business psychology",
author = "Nina Keith and Dorothee Horvath and Alexander Klamar and Michael Frese",
note = "Publisher Copyright: {\textcopyright} 2022. American Psychological Association",
year = "2022",
month = aug,
day = "1",
doi = "10.1037/xge0001170",
language = "English",
volume = "151",
pages = "19--25",
journal = "Journal of Experimental Psychology: General",
issn = "0096-3445",
publisher = "American Psychological Association Inc.",
number = "8",

}

RIS

TY - JOUR

T1 - Failure to Learn From Failure Is Mitigated by Loss-Framing and Corrective Feedback

T2 - A Replication and Test of the Boundary Conditions of the Tune-Out Effect

AU - Keith, Nina

AU - Horvath, Dorothee

AU - Klamar, Alexander

AU - Frese, Michael

N1 - Publisher Copyright: © 2022. American Psychological Association

PY - 2022/8/1

Y1 - 2022/8/1

N2 - Do people learn from failure or do they mentally “tune-out” upon failure feedback, which in turn undermines learning? Recent research (Eskreis-Winkler & Fishbach, 2019) has suggested the latter, whereas research in educational and work settings indicates that failure can lead to more learning than can success and error-free performance. We conducted two preregistered experiments to replicate the tune-out effect and to test two potential boundary conditions (N = 520). The tune-out effect fully replicated in those experimental conditions that represented close replications of the original study, underscoring the reliability of the original effect. However, the effect disappeared when the same monetary incentives for participation were expressed in terms of a loss (i.e., losing money for each wrong answer) rather than a gain (i.e., earning money for each correct answer; Experiment 1). The effect also disappeared when additional corrective feedback was given (Experiment 2). It seems that switching from gain to loss framing or giving corrective feedback (vs. no corrective feedback) are substantial and meaningful variations of the original paradigm that constitute boundary conditions of the tune-out effect. These results help explain the conflicting findings on learning from failure and suggest that in many applied settings, tuning out upon failure might not be an option

AB - Do people learn from failure or do they mentally “tune-out” upon failure feedback, which in turn undermines learning? Recent research (Eskreis-Winkler & Fishbach, 2019) has suggested the latter, whereas research in educational and work settings indicates that failure can lead to more learning than can success and error-free performance. We conducted two preregistered experiments to replicate the tune-out effect and to test two potential boundary conditions (N = 520). The tune-out effect fully replicated in those experimental conditions that represented close replications of the original study, underscoring the reliability of the original effect. However, the effect disappeared when the same monetary incentives for participation were expressed in terms of a loss (i.e., losing money for each wrong answer) rather than a gain (i.e., earning money for each correct answer; Experiment 1). The effect also disappeared when additional corrective feedback was given (Experiment 2). It seems that switching from gain to loss framing or giving corrective feedback (vs. no corrective feedback) are substantial and meaningful variations of the original paradigm that constitute boundary conditions of the tune-out effect. These results help explain the conflicting findings on learning from failure and suggest that in many applied settings, tuning out upon failure might not be an option

KW - learning from errors

KW - learning from failure

KW - loss aversion

KW - corrective feedback

KW - Management studies

KW - Business psychology

UR - http://www.scopus.com/inward/record.url?scp=85136631331&partnerID=8YFLogxK

U2 - 10.1037/xge0001170

DO - 10.1037/xge0001170

M3 - Journal articles

C2 - 35951406

VL - 151

SP - 19

EP - 25

JO - Journal of Experimental Psychology: General

JF - Journal of Experimental Psychology: General

SN - 0096-3445

IS - 8

ER -

DOI

Zuletzt angesehen

Publikationen

  1. Construct- and criterion-related validity of the German Core Self-Evaluations Scale
  2. Facing complexity through informed simplifications
  3. Special Issue The Discourse of Redundancy Introduction
  4. “Circuits of Commons”: Exploring the Connections Between Economic Lives and the Commons
  5. Soil conditions modify species diversity effects on tree functional trait expression
  6. Modelling, explaining, enacting and getting feedback: How can the acquisition of core practices in teacher education be optimally fostered?
  7. Creep behavior of AE42 based hybrid composites
  8. Developing a Complex Portrait of Content Teaching for Multilingual Learners via Nonlinear Theoretical Understandings
  9. An Overview of Electro Hydraulic Full Variable Valve Train Systems to Reduce Emissions in Internal Combustion Engines
  10. Reciprocal Relationships Between Dispositional Optimism and Work Experiences
  11. How to support teachers to give feedback to modelling tasks effectively? Results from a teacher-training-study in the Co²CA project
  12. Introduction
  13. Visual Detection of Traffic Incident through Automatic Monitoring of Vehicle Activities
  14. Semiparametric one-step estimation of a sample selection model with endogenous covariates
  15. More than a YouTube Channel
  16. How generative drawing affects the learning process
  17. Missing links
  18. Application of design of experiments for laser shock peening process optimization
  19. On the Difficulty of Forgetting
  20. A slow-fast trait continuum at the whole community level in relation to land-use intensification
  21. Measurement in Machine Vision Editorial Paper
  22. Hacking the Classroom
  23. Knowledge Spaces of Globalization
  24. Relevance of the Basset history term for Lagrangian particle dynamics
  25. Influence of measurement errors on networks
  26. A geometric approach for the model parameter estimation in a permanent magnet synchronous motor
  27. Emotion Prediction by Facial Expressions in Human-Computer Interfaces
  28. Using latent class analysis to produce a typology of environmental concern in the UK
  29. Ablation Study of a Multimodal Gat Network on Perfect Synthetic and Real-world Data to Investigate the Influence of Language Models in Invoice Recognition
  30. Implementation of Chemometric Tools to Improve Data Mining and Prioritization in LC-HRMS for Nontarget Screening of Organic Micropollutants in Complex Water Matrixes
  31. Theory-based course design for professional master's degree program in business engineering
  32. Value of semi-open corridors for simultaneously connecting open and wooded habitats
  33. Covert and overt automatic imitation are correlated
  34. Grounds different from, though equally solid with
  35. Solvable problems or problematic solvability?
  36. Using Reading Strategy Training to Foster Students´ Mathematical Modelling Competencies
  37. Evaluating the (cost-)effectiveness of guided and unguided Internet-based self-help for problematic alcohol use in employees
  38. The Use of Anti-Windup Techniques in Didactic Level Systems
  39. Data quality assessment framework for critical raw materials. The case of cobalt
  40. Taming a Wicked Problem
  41. Predicting recurrent chat contact in a psychological intervention for the youth using natural language processing
  42. Spatio-Temporal Convolution Kernels
  43. Predicting the future performance of soccer players
  44. Response of saproxylic beetles to small-scale habitat connectivity depends on trophic levels
  45. The too-much-precision effect: When and why precise anchors backfire with experts
  46. Infinite Mixtures of Markov Chains