Understanding, evaluating, and supporting self-regulated learning using learning analytics
I. Roll, and P. Winne. Journal of Learning Analytics, 2 (1):
7-12(2015)
Abstract
Self-regulated learning is an ongoing process rather than a single snapshot in time. Naturally, the field of learning analytics, focusing on interactions and learning trajectories, offers exciting opportunities for analyzing and supporting self-regulated learning. This special section highlights the current state of research in the intersect of self-regulated learning and learning analytics, bridging communities, disciplines, and schools of thoughts. In this editorial, we introduce the papers and identify themes and challenges in understanding and support self-regulated learning in interactive learning environments.
%0 Journal Article
%1 roll2015understanding
%A Roll, Ido
%A Winne, Philip H
%D 2015
%J Journal of Learning Analytics
%K analyitcs learning regulated self
%N 1
%P 7-12
%T Understanding, evaluating, and supporting self-regulated learning using learning analytics
%U https://learning-analytics.info/journals/index.php/JLA/article/view/4491
%V 2
%X Self-regulated learning is an ongoing process rather than a single snapshot in time. Naturally, the field of learning analytics, focusing on interactions and learning trajectories, offers exciting opportunities for analyzing and supporting self-regulated learning. This special section highlights the current state of research in the intersect of self-regulated learning and learning analytics, bridging communities, disciplines, and schools of thoughts. In this editorial, we introduce the papers and identify themes and challenges in understanding and support self-regulated learning in interactive learning environments.
@article{roll2015understanding,
abstract = {Self-regulated learning is an ongoing process rather than a single snapshot in time. Naturally, the field of learning analytics, focusing on interactions and learning trajectories, offers exciting opportunities for analyzing and supporting self-regulated learning. This special section highlights the current state of research in the intersect of self-regulated learning and learning analytics, bridging communities, disciplines, and schools of thoughts. In this editorial, we introduce the papers and identify themes and challenges in understanding and support self-regulated learning in interactive learning environments.},
added-at = {2018-09-17T23:03:42.000+0200},
author = {Roll, Ido and Winne, Philip H},
biburl = {https://www.bibsonomy.org/bibtex/245fec8e9b34dd33e06800790adfc4102/yish},
interhash = {d8a67cccc1f31f6ec378b5580b9921fc},
intrahash = {45fec8e9b34dd33e06800790adfc4102},
journal = {Journal of Learning Analytics},
keywords = {analyitcs learning regulated self},
number = 1,
pages = {7-12},
timestamp = {2018-09-17T23:03:42.000+0200},
title = {Understanding, evaluating, and supporting self-regulated learning using learning analytics},
url = {https://learning-analytics.info/journals/index.php/JLA/article/view/4491},
volume = 2,
year = 2015
}