Brief Introduction
Learn how data is captured in learning experiences and how it is processed and analyzed to inform student support actions.Description
This course will benefit educational designers, learning technology managers, and academics that are interested in how to use data to guide the design and improvements of a learning experience.
Technology has the ability to collect a large amount of data about how people participate in a learning experience. How can this data be used to increase our understanding of how learning occurs? How can data be translated into actionable knowledge? How can data help improve the overall quality of a learning experience? These are the questions that are explored during the activities in the course. You will need basic knowledge about data manipulation and statistical analysis, and you will learn how to use them to translate data into actionable knowledge to apply in a learning experience.
Knowledge
- How data sets are captured in learning experiences
- What basic procedures to use to manipulate these data sets
- The use of statistical models to predict student behavior
- The deployment of personalized support actions for the students
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