LTEC 6500 - Introduction to Quantitative Research in Learning Technologies

3 hours

First research course in a five-course sequence on research methods in learning technologies. Introduces the basic concepts of quantitative data analysis and statistical computing using R, an open-source programming language and environment for statistical computing and graphics. Focus is helping students learn R and various R packages that allow them to visualize and analyze their data to answer research questions. Topics include basics of R and tidyverse, levels of measurement, descriptive and inferential statistics, basic parametric and non-parametric tests frequently used in learning technologies research such as correlation, Chi-square test, independent/paired t test, ANOVA, ANCOVA, and multiple regression.

Prerequisite(s): None.

Course specific fees (in addition to tuition and mandatory):
Academic (AF) per hour: $13.80