A Conceptual Design Framework for Big Data Based Learning Analysis

DOI

10.2991/icemct-15.2015.310How to use a DOI?

Keywords

big data, learning assessment, learning analytics, design framework, data cube

Abstract

Beyond clipped or isolated data, big data highlights the integrated and all-around mining of the data related to some subject, which provides an innovative perspective for learning assessment, and big data based learning analytics explores a new approach to learning evaluation and improvement. Key points in terms of big data based process typically involve where to capture the big data, what data to use and how to handle the collected data. This paper proposes a conceptual design framework for big data supported learning assessment. A three-dimensional data resources model, a learning data cube, and a four-stage process model are separately suggested to respond to the mentioned Where, What, and How questions.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yanlin Zheng
AU  - Shigui Ruan
AU  - Luyi Li
PY  - 2015/06
DA  - 2015/06
TI  - A Conceptual Design Framework for Big Data Based Learning Analysis
BT  - Proceedings of the 2015 International Conference on Education, Management and Computing Technology
PB  - Atlantis Press
SP  - 1476
EP  - 1479
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemct-15.2015.310
DO  - 10.2991/icemct-15.2015.310
ID  - Zheng2015/06
ER  -