J Supercomput https://doi.org/10.1007/s11227-018-2446-y Activity index model for self-regulated learning with learning analysis in a TEL environment 1 2 Kyungrog Kim · Nammee Moon © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract Various learner-oriented teaching–learning models are spreading along with development of the technology-enhanced learning (TEL) environment and the spread of the massive open online course (MOOC). Vast amounts of various data are being cre- ated and accumulated from learning activities based on the TEL environment. Also, a self-regulated learning ability is required in the MOOC environment because the learning process is constituted on students making decisions by themselves. Accord- ingly, this study is aimed at suggesting an activity index model based on self-regulated learning and an activity index based on self-regulated learning. It is intended to pro- vide a means to collect proof of what inﬂuences the teaching–learning activity. This model is intended to set a learning activity standard on the basis of general activity, interaction activity, and achievement activity by students. It will be possible to ana- lyze the student’s participation level based on the activity index, which is based on self-regulated learning, to induce participation in the teaching–learning activity, and to recommend more appropriate
The Journal of Supercomputing – Springer Journals
Published: May 30, 2018
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