Proceedings of the International Conference on Education, Economics and Information Management (ICEEIM 2019)

A Study on the Construction of Data Mining Course-Oriented Data Literacy Training

Authors
Xiaohong Shen
Corresponding Author
Xiaohong Shen
Available Online 6 April 2020.
DOI
10.2991/assehr.k.200401.019How to use a DOI?
Keywords
data literacy training, data mining, project-driven, flipped classroom
Abstract

The data literacy training is becoming important in the big data era and data mining course has been one of the key courses to cultivate data literacy in universities. After analyzing the problems in the actual teaching, the paper discusses the construction of data mining course oriented data literacy training and proposes a new project-driven teaching scheme that includes the case-based classroom teaching and flipped-classroom practice teaching with a multilevel practice system. The new scheme can offer an individualized teaching and promote the learning enthusiasm and initiative of students efficiently.

Copyright
© 2020, 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/).

Download article (PDF)

Volume Title
Proceedings of the International Conference on Education, Economics and Information Management (ICEEIM 2019)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
6 April 2020
ISBN
10.2991/assehr.k.200401.019
ISSN
2352-5398
DOI
10.2991/assehr.k.200401.019How to use a DOI?
Copyright
© 2020, 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  - Xiaohong Shen
PY  - 2020
DA  - 2020/04/06
TI  - A Study on the Construction of Data Mining Course-Oriented Data Literacy Training
BT  - Proceedings of the International Conference on Education, Economics and Information Management (ICEEIM 2019)
PB  - Atlantis Press
SP  - 64
EP  - 67
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200401.019
DO  - 10.2991/assehr.k.200401.019
ID  - Shen2020
ER  -