Measuring computing self-efficacy

Hannah Kolar, Adam Carberry, Ashish Amresh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Scopus citations

Abstract

This study was based around the creation of a tool to measure students computing self-efficacy. 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. Criterion-related 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.

Original languageEnglish (US)
Title of host publicationASEE Annual Conference and Exposition, Conference Proceedings
StatePublished - 2013
Event120th ASEE Annual Conference and Exposition - Atlanta, GA, United States
Duration: Jun 23 2013Jun 26 2013

Other

Other120th ASEE Annual Conference and Exposition
Country/TerritoryUnited States
CityAtlanta, GA
Period6/23/136/26/13

ASJC Scopus subject areas

  • General Engineering

Fingerprint

Dive into the research topics of 'Measuring computing self-efficacy'. Together they form a unique fingerprint.

Cite this