Learning Analytics Fundamentals

University of Texas at Arlington
via edX
Learn about the growing field of learning analytics and how to analyze basic data sets to generate insights.
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The demand for data science and learning science skills has continued to increase as classrooms, labs, and organizations look to optimize their data and improve learning environments for students and employees. The UTArlingtonX Learning Analytics courses will give you the opportunity to gain invaluable knowledge and expertise in this growing field.

In this introductory course, you will develop a solid understanding of fundamental learning analytics theories and processes, and explore different types of educational data. You will gain experience working with educational data sets and the R programming language, and hear from a diverse set of voices in the field. Finally, you will also consider ethics and privacy issues, as well explore how to work as part of a team in a domain that is becoming increasingly cross-disciplinary.

By grasping these fundamental areas, you will have a better understanding of the field of learning analytics and be able to apply skills to any occupation that utilizes educational data.

Instructor(s)

George Siemens, Charles Lang, Justin Dellinger
University of Texas at Arlington
via edX
Free (audit)
Paid Certificate Available
Estimated 4 weeks
Instructor paced
Introductory