The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Meaningful Individual Differences in Statistics Cognition
Abstract
This chapter focuses on the understanding and use of individual differences in statistics cognition. We argue that individual differences can be classified along a continuum ranging from within an individual (internally derived) to an outside source (externally prescribed), and that where an individual differences falls on the continuum may have important implications for how individual differences are used to describe, control for, predict, or explain findings in scholarly research. We argue that individual differences are more useful when they meaningfully pertain to cognitive development, and outline how motivation (using goal orientation and self-determination theory) can be used as an individual difference. We conclude with a discussion of aligning motivational goals and how online courses could adapt themselves to student motivational profiles.
Related Content
|
Sarah H. Jarvie, Cara L. Metz.
© 2024.
15 pages.
|
|
Carrie Grimes, Whitney Walters-Sachs.
© 2024.
39 pages.
|
|
Crystal Ann Brashear.
© 2024.
19 pages.
|
|
Rosina E. Mete, Alyssa Weiss.
© 2024.
16 pages.
|
|
Kim Cowan, William G. Davis, Stephanie Stubbs.
© 2024.
21 pages.
|
|
Selin Philip, Shalini Mathew.
© 2024.
17 pages.
|
|
Ariel Harrison.
© 2024.
21 pages.
|
|
|