Graduate Research Papers
Availability
Open Access Graduate Research Paper
Abstract
The primary focus of this study was to determine what impact problem-based learning (PBL) has on developing computational thinking skills, self-efficacy, and earth science understanding in a middle school robotics classroom. Twenty-eight students took part in a 36-day instructional unit based on the 5E Learning Cycle. Students explored Martian geology, analyzing rock data collected by the Perseverance rover mission to make connections between landforms, integrating Earth science with computational thinking tasks. Pre and post-test data assessed growth of computational thinking and self-efficacy. Statistical analysis showed significant growth in student self-efficacy, while gains in computational thinking were not statistically significant. Students demonstrated improved understanding of Earth science concepts. Implications from this study support the use of PBL and cross-curricular approaches to enhance learning and self-confidence in science, technology, engineering and mathematics.
Year of Submission
2025
Degree Name
Master of Arts in Education
Department
Science Education Program
First Advisor
Lawrence Escalada
Second Advisor
Jesse Wilcox
Date Original
2025
Object Description
1 PDF file (105 pages)
Copyright
©2025 Madison Beeler
Language
en
File Format
application/pdf
Recommended Citation
Beeler, Madison, "The Impacts of a Problem-Based Learning Unit on Computational Thinking Skills in a 7th Grade LEGO Robotics Classroom" (2025). Graduate Research Papers. 4660.
https://scholarworks.uni.edu/grp/4660