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This content will become publicly available on June 7, 2026

Title: Leveling the computational playing field: Inquiring about factors predicting computational thinking in constructionist game-based learning
Computational thinking (CT) is key in STEM and computer science (CS) education. Recently, there has been a surge in studies inquiring about the factors that predict the CT development of young students. We extend these prior works by inquiring about the factors that predict the CT of students (n = 932) in a constructionist game-based learning (GBL) STEM curriculum. Specifically, after addressing missing data through imputation, we apply Multilevel Modeling (MLM) to identify these potential factors in Scratch games and students’ CT. We found that teachers’ experience implementing game-based curricula, students’ Scratch experience, student choice of game genre, and the interaction between teacher experience and game genre significantly predicted CT. Instead, students’ gender did not emerge as a significant predictor of CT. We provide recommendations for curricula that support CT through constructionist GBL.  more » « less
Award ID(s):
2122707
PAR ID:
10645295
Author(s) / Creator(s):
; ; ; ; ;
Editor(s):
Pergamon
Publisher / Repository:
Elsevier
Date Published:
Journal Name:
Computers and education
ISSN:
0360-1315
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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