Open AccessA Literature Review of Statistical Teaching Research in Big Data Environment
Author(s) -
Han Cui
Publication year - 2021
Publication title -
asian journal of education and e-learning
Language(s) - English
Resource type - Journals
ISSN - 2321-2454
DOI - 10.24203/ajeel.v9i5.6738
Subject(s) - big data , pace , frontier , value (mathematics) , data science , statistics , statistics education , computer science , mathematics education , psychology , mathematics , data mining , geography , archaeology , geodesy
The arrival of the big data era brings not only opportunities but also challenges to statistics teaching. It is of great significance to explore the statistics teaching mode under the big data environment. Closely following the frontier of Statistics teaching research in the big data environment, this paper combs the literature on statistics teaching research in the big data environment. Through analysis, it is found that the statistics teaching should give consideration to "systematicness" and "pertinence" closely with the pace of the era, constantly cultivate big data thinking, and make good use of statistics, a "sharp tool" for mining data value, so as to better serve social development in the big data environment.