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Predictive Modeling in Learning Analytics

所在平台: EdxArchive

课程类别: 其他类别

大学或机构: UTArlingtonX

授课老师： Craig Thompson Christopher Brooks

课程主页: https://www.edx.org/archive/predictive-modeling-learning-analytics-utarlingtonx-link-la-pmx

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课程简介

Learn how predictive models in educational data mining and learning analytics are used to identify at-risk students.

课程大纲

  • How to use the Weka toolkit to analyze educational data and make predictions about student outcomes 
  • Techniques underlying supervised machine learning, including decision trees and naïve Bayes modeling
  • How to apply feature selection to identify relevant attributes in the data
  • How to rigorously evaluate educational predictive models
  • The state of the practice in current generation educational predictive models

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课程详情

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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