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Titel:

Closing the loop: Supporting self-regulated learning with data analytics of multi-channel dataem

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Lim, Lyn; Bannert, Maria; van der Graaf, Joep; Singh, Shaveen; Fan, Yizhou; Surendrannair, Surya; Rakovic, Mladen; Molenaar, Inge; Moore, Johanna; & Gašević, Dragan
Kongress- / Buchtitel:
EARLI Special Interest Group 27
Datum der Konferenz:
August 30-September 1, 2022
Jahr:
2022
Sprache:
en
Hinweise:
Effects of Personalized Scaffolds on Self-Regulated Learning based on Students’ Learning Processes. In D. Gašević & S. Järvelä (Chairs) Symposium
TUM Einrichtung:
SOT, Dep. Educational Sciences, LS f. Lehren u. Lernen m. Digitalen Medien
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