Experimental Research on Reflection-based Deep Learning

DOI

10.2991/icsshe-15.2015.13How to use a DOI?

Keywords

reflection, reflective learning, deep learning, reflection-based deep learning

Abstract

Reflection-based deep learning, essentially a type of deep learning, aims to promote deep learning by developing reflective learning ability. In order to test "the promoting effects of reflection on deep learning", according to the process model of reflection-based deep learning, we designed the experimental scheme. Firstly, through the pretest questionnaire, we determined the experimental subjects according to their learning capacity level; then through the specific teaching interventions, we guided the experimental class to carry out their reflective learning activities throughout the whole class; finally through variance analysis of the written test and the work creation, we confirmed that the model of reflection-based deep learning had certain feasibility, furthermore the reflection activities really can effectively promote students’ deep learning.

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  - Hao Zhang
AU  - Xiujuan Wu
PY  - 2015/12
DA  - 2015/12
TI  - Experimental Research on Reflection-based Deep Learning
BT  - Proceedings of the 2015 International Conference on Social Science and Higher Education
PB  - Atlantis Press
SP  - 51
EP  - 54
SN  - 2352-5398
UR  - https://doi.org/10.2991/icsshe-15.2015.13
DO  - 10.2991/icsshe-15.2015.13
ID  - Zhang2015/12
ER  -