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- Title
Using process features to investigate scientific problem-solving in large-scale assessments.
- Authors
Tao Gong; Lan Shuai; Yang Jiang; Burcu Arslan
- Abstract
Introduction: This study investigates the process data from scientific inquiry tasks of fair tests [requiring test-takers to manipulate a target variable while keeping other(s) constant] and exhaustive tests (requiring test-takers to construct all combinations of given variables) in the National Assessment of Educational Progress program. Methods: We identify significant associations between item scores and temporal features of preparation time, execution time, and mean execution time. Results: Reflecting, respectively, durations of action planning and execution, and execution efficiency, these process features quantitatively differentiate the highand low-performing students: in the fair tests, high-performing students tended to exhibit shorter execution time than low-performing ones, but in the exhaustive tests, they showed longer execution time; and in both types of tests, highperforming students had shorter mean execution time than low-performing ones. Discussion: This study enriches process features reflecting scientific problemsolving process and competence and sheds important light on how to improve performance in large-scale, online delivered scientific inquiry tasks.
- Subjects
NATIONAL Assessment of Educational Progress (Project); SCIENTIFIC method; CONFORMANCE testing; EDUCATIONAL evaluation; EDUCATIONAL programs
- Publication
Frontiers in Psychology, 2023, p1
- ISSN
1664-1078
- Publication type
Article
- DOI
10.3389/fpsyg.2023.1131019