Proceedings of the 4th Workshop on Advanced Research and Technology in Industry (WARTIA 2018)

Teaching Exploration of Parasitology Test under the Guidance of Big Data

Authors
Ying Liu, Yan Zhao, Hongjuan Song, Fengying Zheng, Yuchan Guo
Corresponding Author
Ying Liu
Available Online September 2018.
DOI
10.2991/wartia-18.2018.36How to use a DOI?
Keywords
Big Data; Moso Teach; Teaching Feedback
Abstract

The information platform of Moso Teach can provide teaching support with a big data. This article discusses how to use teaching report data, teaching resource data, teaching activity data, learning situation data and artificial intelligence to generate accurate feedback to the problems and difficulties in teaching, guide teachers to adjust more targeted teaching content, offer more specific coaching to individuals and therefore improve teaching efficiency. Material of Moso Teach can also be used as an objective basis for evaluating teaching quality.

Copyright
© 2018, 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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Volume Title
Proceedings of the 4th Workshop on Advanced Research and Technology in Industry (WARTIA 2018)
Series
Advances in Engineering Research
Publication Date
September 2018
ISBN
978-94-6252-597-9
ISSN
2352-5401
DOI
10.2991/wartia-18.2018.36How to use a DOI?
Copyright
© 2018, 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/).

Cite this article

TY  - CONF
AU  - Ying Liu
AU  - Yan Zhao
AU  - Hongjuan Song
AU  - Fengying Zheng
AU  - Yuchan Guo
PY  - 2018/09
DA  - 2018/09
TI  - Teaching Exploration of Parasitology Test under the Guidance of Big Data
BT  - Proceedings of the 4th Workshop on Advanced Research and Technology in Industry (WARTIA 2018)
PB  - Atlantis Press
SP  - 211
EP  - 215
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-18.2018.36
DO  - 10.2991/wartia-18.2018.36
ID  - Liu2018/09
ER  -