Knowledge Inference and Structure Discovery for Education

所在平台: EdxArchive

课程类别: 其他类别

大学或机构: UTArlingtonX

授课老师: Ryan Baker

课程主页: https://www.edx.org/archive/knowledge-inference-structure-discovery-utarlingtonx-link-la-sdx

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课程简介

Learn how to discover domain structure for knowledge inference.

课程大纲

  • Domain structure discovery (how to map content to skills/concepts)
  • Knowledge inference (calculating what a student knows)
  • Cluster and Factor Analysis
  • Correlation Mining
  • Association and Sequential Pattern Mining

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课程详情

In this course, you will learn key methods for discovering how content can be divided into skills and concepts, and how to measure student knowledge while it is changing – i.e. the student is learning.

This course will also cover related methods for discovering structure in unlabeled data, such as factor analysis and clustering, and related methods for relationship mining, including how to validly conduct correlation mining, and how to automatically discover association rules and sequential rules.

This mini-course does not assume prior programming knowledge beyond what you will already have learned in other courses in this MicroMasters, although advanced tools will be discussed for interested students.

This course includes content also offered in the University of Pennsylvania edX MOOC, Big Data and Education, weeks 4, 5, and 7.

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