Developing personalized education. A dynamic framework.

Autor/inn/en	Tetzlaff, Leonard; Schmiedek, Florian; Brod, Garvin
Titel	Developing personalized education. A dynamic framework.
Quelle	In: Educational psychology review, 33 (2021) 3, S. 863-882Infoseite zur Zeitschrift PDF als Volltext (1); PDF als Volltext kostenfreie Datei (2); PDF als Volltext kostenfreie Datei (3); PDF als Volltext kostenfreie Datei (4) Link als defekt meldenVerfügbarkeit
Sprache	englisch
Dokumenttyp	online; Zeitschriftenaufsatz
ISSN	1573-336X
DOI	10.1007/s10648-020-09570-w 10.25656/01:25237
URN	urn:nbn:de:0111-pedocs-252373
Schlagwörter	Datenerhebung; Unterricht; Schulklasse; Datenerhebung; Individualisierung; Lernforschung; Lehr-Lern-Forschung; E-Learning; Schulklasse; Lernender; Lehr-Lern-Forschung; Lernforschung; Lernprozess; Lernumgebung; Lerndynamik; Adaptiver Unterricht; Individualisierung; Modellbildung; Unterrichtsgestaltung; Unterricht; Forschungsstand; E-Learning
Abstract	Personalized education - the systematic adaption of instruction to individual learners - has been a long-striven goal. We review research on personalized education that has been conducted in the laboratory, in the classroom, and in digital learning environments. Across all learning environments, we find that personalization is most successful when relevant learner characteristics are measured repeatedly during the learning process and when these data are used to adapt instruction in a systematic way. Building on these observations, we propose a novel, dynamic framework of personalization that conceptualizes learners as dynamic entities that change during and in interaction with the instructional process. As these dynamics manifest on different timescales, so do the opportunities for instructional adaptions - ranging from setting appropriate learning goals at the macroscale to reacting to affective-motivational fluctuations at the microscale. We argue that instructional design needs to take these dynamics into account in order to adapt to a specific learner at a specific point in time. Finally, we provide some examples of successful, dynamic adaptations and discuss future directions that arise from a dynamic conceptualization of personalization. (DIPF/Orig.).
Erfasst von	DIPF \| Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main
Update	2023/1