Children’s Monetary Decision Making: The Role of Metacognition in Everyday Problem Solving

Author(s):  
Chwee Beng Lee ◽  
Noi Keng Koh
2002 ◽  
Vol 26 (1) ◽  
pp. 6-15 ◽  
Author(s):  
Sean P. Meegan ◽  
Cynthia A. Berg

The present paper reviews the extant literature on collaborative everyday problem solving in older adulthood and explicates the contexts, functions, forms, and processes of collaboration in daily life. In this review, we examine collaboration as it occurs in the daily lives of older adults in addition to the specified intelligence-like tasks more typical of the current literature. Drawing from multiple literatures that have examined collaboration, including sociocultural perspectives within child development, life-span cognition, educational psychology, and social psychology, we illuminate the changing contexts of collaboration across the life span and examine the role of potential collaborators, the multiplicity of forms and functions of collaboration, and the social processes that may facilitate or hinder collaborative performance.


2010 ◽  
Author(s):  
Wendy J. L. Thornton ◽  
Theone Paterson ◽  
Sophie Yeung ◽  
Jessica Kubik

1999 ◽  
Vol 23 (3) ◽  
pp. 615-639 ◽  
Author(s):  
Cynthia A. Berg ◽  
Sean P. Meegan ◽  
Paul Klaczynski

The role of experience in understanding age differences in strategy generation and information requests for solving everyday problems was explored in young and older adults. Participants received three hypothetical problems dealing with going to doctor’s offices and going to dinner parties and were probed extensively for their strategies and information they would like to solve the problems. Experience with these two domains was assessed by participants’ reports of their experience, script knowledge, and the presence of experience in problem definitions. No age differences were found in these experience measures. Age differences were found in the number of strategies generated and the amount of information requested to solve the problem. Two patterns of everyday problem solving were uncovered: an exhaustive style (involving inferential problem definition, elaborate strategy generation, and information requests); and an experiential style (involving experiential problem definition, less strategy generation, and fewer information requests). The results are interpreted within a model that uses individuals’ problem definitions to understand multiple aspects of everyday problem-solving performance.


2012 ◽  
Vol 38 (5) ◽  
pp. 537-558 ◽  
Author(s):  
Kristopher J. Kimbler ◽  
Jennifer A. Margrett ◽  
Tara L. Johnson

Sign in / Sign up

Export Citation Format

Share Document