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Measuring Computing Self-Efficacy
Author(s) -
Hannah Kolar,
Adam Carberry,
Ashish Amresh
Publication year - 2020
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/1-2--22274
Subject(s) - computer science
This study was based around the creation of a tool to measure students computing selfefficacy. The tool was an eight-question survey that was validated using content and criterion-related validity. Content validity was conducted to make sure that the questions related to each other and related to the subject of computing self-efficacy. Criterionrelated validity allowed us to validate that our tool could test people with different levels of computing skills based on previous experience. The study allowed us to further validate our tool as well as analyze the computing self-efficacy of 270 students in science, technology, engineering, and mathematics (STEM) majors.

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