Literaturnachweis - Detailanzeige
Sonst. Personen | Volet, Simone (Hrsg.); Vauras, Marja (Hrsg.) |
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Titel | Interpersonal regulation of learning and motivation. Methodological advances. 1. publ. |
Quelle | London u.a.: Routledge (2013), XIV, 226 S. |
Reihe | New perspectives on learning and instruction |
Beigaben | Illustrationen |
Zusatzinformation | Inhaltsverzeichnis Klappentext |
Sprache | englisch |
Dokumenttyp | gedruckt; Monographie |
ISBN | 0-415-69829-4; 978-0-415-69829-0 |
Schlagwörter | Kognitionspsychologie; Metakognition; Soziale Interaktion; Kooperatives Lernen; Lernen; Lernforschung; Lernmotivation; Motivation; Wissenserwerb; Interaktives Lernen; Videoaufzeichnung; Kooperation; Regulation; Situationsanalyse |
Abstract | [The book focuses] on major methodological advances in research on interpersonal regulation of learning and motivation. Interest in developing ways of capturing the dynamics of interpersonal regulation in real-life learning interactions is growing rapidly. Understanding these dynamics is particularly timely given the increased use of collaborative learning activities in schools and university settings, as well as through face-to-face and computer supported collaborative learning (CSCL) environments. While groups and collections of individuals in social interaction are expected to bring their own motivations and goals to the learning situations, it is also assumed that these are further shaped through interaction, as the group activity evolves. Research methodology publications in the field of learning, regulation and motivation are still dominated by a focus on the individual. The study of collaborative learning at both conceptual and methodological level has not incorporated the significance of social regulatory processes of learning and motivation. This is a new development in the field and one covered by this book. The book contains numerous illustrations of innovative: Methodological approaches to study and interpret the dynamics of interpersonal regulation; data sources and data representations to capture scaffolded instruction, theory-based analytic methods to investigate interactions in real-life collaborative learning; coding systems and social software tools for gathering and analysing interactive data. (Orig.). |
Erfasst von | DIPF | Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main |
Update | 2013/3 |