Academic Social Networks and Learning Analytics to Explore Self-Regulated Learning: a Case Study

Title:

Academic Social Networks and Learning Analytics to Explore Self-Regulated Learning: a Case Study [Baixar]

Autores/as:

Gewerc, Adriana and Rodríguez-Groba, Ana and Martínez-Piñeiro, Esther

Índice de termos:

Social network services;Context;Education;Proposals;Collaboration;Cognition;Electronic mail;Social network;Learning Analytics;Self-Regulated Learning

Resumo:

Social networks have become a new form of communication that allow students to share and collaborate. In this sense, they have joined forces with self-regulated learning (SRL) skills. This paper presents an experience at the University of Santiago de Compostela to analyze how SRL is developed in a course using a social network. This research used the following: 1) MSLQ questionnaire by Pintrich and 2) social network analysis techniques within the learning analytics framework. The results show that pedagogy encouraged students to interact and create a rich environment for developing SRL skills.

DOI:

10.1109/RITA.2016.2589483

Como citar:
Gewerc, Adriana and Rodríguez-Groba, Ana and Martínez-Piñeiro, Esther, "Academic Social Networks and Learning Analytics to Explore Self-Regulated Learning: a Case Study" in IEEE Revista Iberoamericana de Tecnologias del Aprendizaje, pp. 159-166, Aug. 2016. doi: 10.1109/RITA.2016.2589483