Learning from errors: A model of individual processes

Errors bear the potential to improve knowledge acquisition, provided that learners are able to deal with them in an adaptive and reflexive manner. However, learners experience a host of different—often impeding or maladaptive—emotional and motivational states in the face of academic errors. Research...

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Bibliographic Details
Main Authors: Maria Tulis, Gabriele Steuer, Markus Dresel
Format: Article
Language:English
Published: EARLI 2016-04-01
Series:Frontline Learning Research
Subjects:
Online Access:https://journals.sfu.ca/flr/index.php/journal/article/view/168
Description
Summary:Errors bear the potential to improve knowledge acquisition, provided that learners are able to deal with them in an adaptive and reflexive manner. However, learners experience a host of different—often impeding or maladaptive—emotional and motivational states in the face of academic errors. Research has made few attempts to develop a theory that focuses on learning from errors (with the exceptions of the theory of impasse-driven learning and the theory of negative knowledge) and, in particular, a theoretical framework that focuses on antecedent motivational processes. By integrating theories of self-regulated learning, volition, attributions, and appraisals, we propose a model that highlights individual processes that are characteristic of this specific learning phenomenon. More precisely, our theoretical framework aims to explain how emotional, motivational and self-regulatory processes—influenced by personal and contextual conditions—interact in order to facilitate or impede adaptive dealing with errors and appropriate metacognitions and cognitive activities. Our objective is to provide a framework that allows for the systematic integration of various aspects that have been targeted in previous research and to guide and stimulate future research on learning from errors. As a first evidence for validation, we summarise research findings that address specific parts of the proposed model.
ISSN:2295-3159