Educational Data Mining and Learning Analytics
This page, from the The Center for Innovative Research in Cyberlearning (CIRCL), offers information on the related concepts of educational data mining and learning analytics, both of which focus on capturing and analyzing information about educational systems and the teaching and learning process, and efforts to make sense of and utilize that captured data. An issues list includes an introduction to some of the issues that go along with data collection in an educational setting, including privacy and ethics. The site also offers substantial lists of further resources and readings for instructors interested in the topic, and a smaller set of links to resources and organizations focused on sharing this educational data.
About this Resource
Format
Audience
Education Level
- High School -- Grade 9
- High School -- Grade 10
- High School -- Grade 11
- High School -- Grade 12
- Higher Education -- Technical Education (Lower Division)
- Higher Education -- Technical Education (Upper Division)
- Higher Education -- Undergraduate (Lower Division)
- Higher Education -- Undergraduate (Upper Division)
Language
Subject
GEM Subject
Subject
Associated Files
Archived
Rights
Access Rights
Comments