{"title":"Enriching problem-solving followed by instruction with explanatory accounts of emotions","authors":"Tanmay Sinha","doi":"10.1080/10508406.2021.1964506","DOIUrl":null,"url":null,"abstract":"ABSTRACT Background Problem-solving followed by instruction (PS-I) is a powerful design shown to transform students’ conceptual understanding and transfer. Within PS-I, no research has examined how moment-by-moment determinants of affective states impact the problem-solving phase and posttest performance. Methods I develop a multimodal learning analytics pipeline to (a) infer affective states in PS-I via observable facial movements, (b) understand how the incidence and temporal dynamics of these states vary based on manipulating the problem-solving context with scaffolding strategies (failure-driven, success-driven, none) in an experimental study (N = 132), and (c) assess the extent to which affective states might explain learning. Findings Students exposed to failure-driven scaffolding show exclusive dynamics comprising shame, a self-conscious emotion associated with metacognitive and cognitive benefits. Failure-driven scaffolding also creates opportunities for relatively greater emotional displays of knowledge emotions (e.g., surprise, interest). Hostile emotions differentially impact learning in PS-I, with the incidence of anger and disgust showing positive associations and the incidence of contempt showing a negative association. Finally, pleasurable emotions (e.g., happiness) positively associate with isomorphic posttest performance but negatively associate with non-isomorphic and transfer posttests. Contribution Overt changes in facial movements reflective of students experiencing negative emotional states act as catalysts for learning.","PeriodicalId":48043,"journal":{"name":"Journal of the Learning Sciences","volume":"69 1","pages":"151 - 198"},"PeriodicalIF":3.0000,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Learning Sciences","FirstCategoryId":"95","ListUrlMain":"https://doi.org/10.1080/10508406.2021.1964506","RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 10
Abstract
ABSTRACT Background Problem-solving followed by instruction (PS-I) is a powerful design shown to transform students’ conceptual understanding and transfer. Within PS-I, no research has examined how moment-by-moment determinants of affective states impact the problem-solving phase and posttest performance. Methods I develop a multimodal learning analytics pipeline to (a) infer affective states in PS-I via observable facial movements, (b) understand how the incidence and temporal dynamics of these states vary based on manipulating the problem-solving context with scaffolding strategies (failure-driven, success-driven, none) in an experimental study (N = 132), and (c) assess the extent to which affective states might explain learning. Findings Students exposed to failure-driven scaffolding show exclusive dynamics comprising shame, a self-conscious emotion associated with metacognitive and cognitive benefits. Failure-driven scaffolding also creates opportunities for relatively greater emotional displays of knowledge emotions (e.g., surprise, interest). Hostile emotions differentially impact learning in PS-I, with the incidence of anger and disgust showing positive associations and the incidence of contempt showing a negative association. Finally, pleasurable emotions (e.g., happiness) positively associate with isomorphic posttest performance but negatively associate with non-isomorphic and transfer posttests. Contribution Overt changes in facial movements reflective of students experiencing negative emotional states act as catalysts for learning.
期刊介绍:
Journal of the Learning Sciences (JLS) is one of the two official journals of the International Society of the Learning Sciences ( www.isls.org). JLS provides a multidisciplinary forum for research on education and learning that informs theories of how people learn and the design of learning environments. It publishes research that elucidates processes of learning, and the ways in which technologies, instructional practices, and learning environments can be designed to support learning in different contexts. JLS articles draw on theoretical frameworks from such diverse fields as cognitive science, sociocultural theory, educational psychology, computer science, and anthropology. Submissions are not limited to any particular research method, but must be based on rigorous analyses that present new insights into how people learn and/or how learning can be supported and enhanced. Successful submissions should position their argument within extant literature in the learning sciences. They should reflect the core practices and foci that have defined the learning sciences as a field: privileging design in methodology and pedagogy; emphasizing interdisciplinarity and methodological innovation; grounding research in real-world contexts; answering questions about learning process and mechanism, alongside outcomes; pursuing technological and pedagogical innovation; and maintaining a strong connection between research and practice.