The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Personal Analytics Explorations to Support Youth Learning
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.
Related Content
|
Marlett Jasmin Blas Rivera.
© 2024.
24 pages.
|
|
Mario Muñoz Mercado.
© 2024.
31 pages.
|
|
Tahir Iqbal.
© 2024.
31 pages.
|
|
Nadim Akhtar Khan.
© 2024.
20 pages.
|
|
Sandra Viridiana Cortés Ruiz.
© 2024.
26 pages.
|
|
María Elena Zepeda Hurtado, Claudia Angélica Membrillo Gómez, Francisco Javier Arias Candanosa.
© 2024.
23 pages.
|
|
Renu Prajapati, Sandhya Gupta.
© 2024.
29 pages.
|
|
|