RT Conference Proceedings
RT null
T1 An Initial Analysis of Prediction Techniques as a Support for the Flipped Classroom
A1 Rubio Fernández, Aarón
A1 Moreno-Marcos, Pedro Manuel
A1 Muñoz Merino, Pedro José
A1 Delgado Kloos, Carlos
AB With the increasing use of active learning methodologies such as the Flipped Classroom (FC), many approaches have been taken to enhance the students' learning in such contexts. Prediction techniques can be used in combination with Learning Analytics (LA) dashboards for the improvement of the FC model. In this direction, we analyze some theoretical cases in which this approach can provide academic benefits (e.g. providing additional resources or re-designing the class). Furthermore, we present several initial ideas on how to combine two existing software tools, one which provides LA dashboards and the other that implements prediction techniques, that can be used successfully in such scenarios for the FC. This is a preliminary work for the joint use of prediction techniques and LA dashboards in FC contexts.
PB CEUR-WS.org
SN 1613-0073
YR 2020
FD 2020-09-01
LK https://hdl.handle.net/10016/44003
UL https://hdl.handle.net/10016/44003
LA en
NO Proceeding of: LASI-SPAIN 2020: Learning Analytics Summer Institute Spain 2020: Learning Analytics. Time for Adoption, Valladolid, Spain, June 15-16, 2020
NO This work has been partially funded by: FEDER/Ministerio de Ciencia, Innovación y Universidades – Agencia Estatal de Investigación/Smartlet project (TIN2017-85179- C3-1-R). In addition, this work has been partially funded by the e-Madrid-CM project with grant no. S2018/TCS-4307, which is funded by the Madrid Regional Government (Comunidad de Madrid), by the Fondo Social Europeo (FSE) and by the Fondo Europeo de Desarrollo Regional (FEDER). This work also received partial support by Ministerio de Ciencia, Innovación y Universidades, under an FPU fellowship (FPU016/00526).
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RD 17 jul. 2024