In this course, students will build a foundation for deploying learning analytics to be used in instructional design. The course employs a combination of theory and hands-on experience using business-intelligence tools. Emphasis will be centered on specific models and methodologies in data collection, normalization, visualization, and analysis.
Prerequisite or corequisite: CIEP 470 Principles of Instructional Design.
Outcomes: Explain learning analytics theory; identify recent trends; Use reporting tools to compile/isolate/summarize data; Differentiate between learning models; Align data models to assessments; Conduct predictive data analysis; Discuss ethics considerations.
Prerequisite or corequisite: CIEP 470 Principles of Instructional Design.
Outcomes: Explain learning analytics theory; identify recent trends; Use reporting tools to compile/isolate/summarize data; Differentiate between learning models; Align data models to assessments; Conduct predictive data analysis; Discuss ethics considerations.