Document Type
Contribution to Book
Journal/Book Title/Conference
Digital Technologies and Instructional Design for Personalized Learning
Publisher
IGI Global
Location
Hershey, PA
Publication Date
2018
First Page
145
Last Page
163
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.
Recommended Citation
Lee, Victor R., "Personal Analytics Explorations to Support Youth Learning" (2018). Instructional Technology and Learning Sciences Faculty Publications. Paper 632.
https://digitalcommons.usu.edu/itls_facpub/632
Included in
Educational Assessment, Evaluation, and Research Commons, Instructional Media Design Commons, Library and Information Science Commons
