Predictive Modeling in Learning Analytics
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This course will introduce you to the tools and techniques of predictive models as used by researchers in the fields of learning analytics and educational data mining. It will cover the concepts and techniques that underlie current educational “student success” and “early warning” systems, giving you insight into how learners are categorized as at-risk through automated processes.
You will gain hands-on experience building these kinds of predictive models using the popular (and free) Weka software package. Also, included in this course is a discussion of supervised machine learning techniques, feature selection, model fit, and evaluation of data based on student attributes. Throughout the course, the ethical and administrative considerations of educational predictive models will be addressed.
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Rating | Not enough ratings |
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Length | 3 weeks |
Effort | 5 - 7 hours per week |
Starts | Aug 13 (297 weeks ago) |
Cost | $99 |
From | University of Texas at Arlington, UTArlingtonX via edX |
Instructors | Christopher Brooks, Craig Thompson |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Data Science Education |
Tags | Computer Science Data Analysis & Statistics Education & Teacher Training |
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Rating | Not enough ratings |
---|---|
Length | 3 weeks |
Effort | 5 - 7 hours per week |
Starts | Aug 13 (297 weeks ago) |
Cost | $99 |
From | University of Texas at Arlington, UTArlingtonX via edX |
Instructors | Christopher Brooks, Craig Thompson |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Data Science Education |
Tags | Computer Science Data Analysis & Statistics Education & Teacher Training |
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