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Design and validation of learning trajectory-based assessments for computational thinking in upper elementary grades.

Authors :
Gane, Brian D.
Israel, Maya
Elagha, Noor
Yan, Wei
Luo, Feiya
Pellegrino, James W.
Source :
Computer Science Education; Jun2021, Vol. 31 Issue 2, p141-168, 28p
Publication Year :
2021

Abstract

Background & Context: We describe the rationale, design, and initial validation of computational thinking (CT) assessments to pair with curricular lessons that integrate fractions and CT. Objective: We used cognitive models of CT (learning trajectories; LTs) to design assessments and obtained evidence to support a validity argument Method: We used the LTs and evidence-centered design to develop assessments that 144 Grade 3 and Grade 4 elementary students completed following the integrated instruction. We analyzed data using multiple psychometric approaches. Findings: The design approach and data analysis suggest that the assessments are well-suited to evaluate students' CT knowledge, skills and abilities across multiple LTs. Implications: We show how to use LTs to design assessments that can yield valid inferences about students' CT competencies; these methods can be adopted and extended by others to create additional assessments that can advance computer science education. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
COMPUTER science education

Details

Language :
English
ISSN :
08993408
Volume :
31
Issue :
2
Database :
Complementary Index
Journal :
Computer Science Education
Publication Type :
Academic Journal
Accession number :
150428398
Full Text :
https://doi.org/10.1080/08993408.2021.1874221