Cargando…
Investigating Planning and Non-Targeted Exploration in PIAAC 2012: Validating Their Measures Based on Process Data and Investigating Their Relationships with Problem-Solving Competency
Problem-solving is a critical aspect of intelligence that has become increasingly important in modern society. Mapping out the determinants of success in problem-solving helps understand the underlying cognitive processes involved. This article focuses on two key cognitive processes in problem-solvi...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10455856/ https://www.ncbi.nlm.nih.gov/pubmed/37623539 http://dx.doi.org/10.3390/jintelligence11080156 |
Sumario: | Problem-solving is a critical aspect of intelligence that has become increasingly important in modern society. Mapping out the determinants of success in problem-solving helps understand the underlying cognitive processes involved. This article focuses on two key cognitive processes in problem-solving: non-targeted exploration and planning. We generalize previously defined indicators of planning and non-targeted exploration across tasks in the 2012 Programme for the International Assessment of Adult Competencies and examine the internal construct validity of the indicators using confirmatory factor analysis. We also investigate the relationships between problem-solving competency, planning, and non-targeted exploration, along with the specific dependence between indicators from the same task. The results suggest that (a) the planning indicator across tasks provides evidence of internal construct validity; (b) the non-targeted exploration indicator provides weaker evidence of internal construct validity; (c) overall, non-targeted exploration is strongly related to problem-solving competency, whereas planning and problem-solving competencies are weakly negatively related; and (d) such relationships vary substantially across tasks, emphasizing the importance of accounting for the dependency of measures from the same task. Our findings deepen our understanding of problem-solving processes and can support the use of digital tools in educational practice and validate task design by comparing the task-specific relationships with the desired design. |
---|