Course Description
This course will provide students with an overview of text mining as an analytical approach in education research, examples of its use in educational contexts, and applied experience with widely adopted tools and techniques (e.g. topic modeling and sentiment analysis). Students develop practical skills in the collection, analysis, and reporting of text data form sources such as Learning Management Systems, social media, and other online sources. Students can complete projects using a programming approach with R, a popular free open source software program for data science, or using non-programming point-and-click tools (i.e., SAS Visual Text Analytics).
SPRG 2022
Instructors
Classes Start:
January 10, 2022
Classes End:
April 25, 2022
Distance Education:
Yes
Class Type:
Lecture
Credits:
3.00
Delivery Method:
Internet Interactive
Restrictions:
None
