Il n'y a pas de définition simple et univoque du concept d'apprentissage autorégulé. Des théoriciens de psychologie de l'éducation ont réduit l'éventail des aptitudes des élèves à s'autoréguler en se focalisant sur le versant scolaire de l'éducation, à savoir l'acquisition des connaissances et les objectifs de réussite. Toutefois, le monde complexe de l'étude en classe engendre une situation où différents buts entrent en concurrence aux yeux des élèves. Le modèle d'autorégulation à double processus de Bookaerts montre que les deux objectifs que sont l'étude et le bien-être interagissent. Nous estimons que lorsque les élèves ont accès à des stratégies autonomes bien au point se traduisant par de bonnes habitudes de travail, ils ont une plus grande probabilité de se motiver pour les études et de sauvegarder leur bien-être quand une source de stress bloque l'apprentissage.There is no simple and straightforward definition of the construct of selfregulated learning. Theorists in educational psychology have narrowed the scope of students' capability to self-regulate through a focus on the academic side of education, namely on learning and achievement goals. However, the messy world of classroom learning creates a situation in which different goals compete for students' attention. Boekaerts' dual processing self-regulation model describes how learning goals interact with well-being goals. We propose that when students have access to well-refined volitional strategies manifested as good work habits, they are more likely to invest effort in learning and get off the well-being track when a stressor blocks learning. Shifting definitions of SRL have led to changing measurement procedures; researchers moved away from decontextualised measures of SRL to domain-specific measures and then on to context-sensitive measures. The validity and reliability of the first generation of SR assessment has been limited and several issues remain. Recently, researchers have designed assessment packages including new instruments that better
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.