Welcome to the InfoSci Platform
Reference Hub3
Personal Analytics Explorations to Support Youth Learning

Personal Analytics Explorations to Support Youth Learning

Victor R. Lee
Copyright: © 2018 |Pages: 19
ISBN13: 9781522539407|ISBN10: 1522539409|EISBN13: 9781522539414
DOI: 10.4018/978-1-5225-3940-7.ch007
Cite Chapter Cite Chapter

MLA

Lee, Victor R. "Personal Analytics Explorations to Support Youth Learning." Digital Technologies and Instructional Design for Personalized Learning, edited by Robert Zheng, IGI Global, 2018, pp. 145-163. https://doi.org/10.4018/978-1-5225-3940-7.ch007

APA

Lee, V. R. (2018). Personal Analytics Explorations to Support Youth Learning. In R. Zheng (Ed.), Digital Technologies and Instructional Design for Personalized Learning (pp. 145-163). IGI Global. https://doi.org/10.4018/978-1-5225-3940-7.ch007

Chicago

Lee, Victor R. "Personal Analytics Explorations to Support Youth Learning." In Digital Technologies and Instructional Design for Personalized Learning, edited by Robert Zheng, 145-163. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-3940-7.ch007

Export Reference

Mendeley
Favorite

Abstract

While personalized learning environments often include systems that automatically adapt to inferred learner needs, other forms of personalized learning exist. One form involves the use of personal analytics in which the learner obtains and analyzes data about himself/herself. More known in informatics communities, there is potential for use of personal analytics for design of instruction. This chapter provides two cases of personal analytics learning explorations to demonstrate their range and potential. One case is of a high school student examining how sleep influences her mood. The other case is of a sixth-grade class of students examining how deviations from typical walking behavior change distributional shape in plotted step data. Both cases show how social support and direct experience with data correction are intimately involved in how youth can learn through personal analytics activities.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.