Date of Award

Spring 2021

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

Department

Educational Foundations & Leadership

Program/Concentration

Higher Education

Committee Director

Jamie Colwell

Committee Member

Helen Crompton

Committee Member

Helen Crompton

Committee Member

Thomas Bean

Committee Member

Amy Hutchison

Abstract

Computer science education is being recognized globally as necessary to better prepare students in all grade levels, K-12, for future success. As a result of this focus on computer science education in the United States and around the world, there is an increased demand for highly qualified teachers with content and pedagogical knowledge to successfully support student learning. As a result, there is a call to include and improve the computer science training offered to pre-service teachers in their educator preparation programs from methods courses to practicum and student teaching experiences. Thus, it is important to understand how pre-service teachers view content, classroom practices, and teaching and learning methodologies and theories to inform teacher educators about best practices for integrating computer science.

This multi-case study investigated pre-service teachers’ perceived abilities and intent to integrate the Virginia Computer Science Standards of Learning into future content area instruction, as well as any shifts that occurred in these pre-service teachers’ perceptions as a result of their student teaching experience. Five elementary pre-service teachers enrolled in a teacher preparation program at a large, public research university in the Mid-Atlantic region of the United States comprised the cases in this research study. Data were collected during the participants’ student teaching experience and final semester in their respective programs and was comprised of the following: pre-, mid-, and post-questionnaires, meeting transcriptions (2), semi-structured individual phone interview transcriptions (2), and written/posted exchanges on an online discussion board. Data representing each case were analyzed using a qualitative general inductive approach as outlined by Thomas. A within-case analysis was performed to develop main categories and identify central themes for each case, and a cross-case analysis was then conducted using the NVivo Qualitative Data Analysis Software. The findings revealed similarities and differences across the cases, as well as perceived challenges and benefits to incorporating computer science and the Virginia Computer Science Standards of Learning into future content area lessons as determined by elementary pre-service teachers. Findings from this study can be used to inform and improve pre-service teacher education as well as provide insight to school administrators.

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DOI

10.25777/jnm7-f468

ISBN

9798738645549

ORCID

0000-0002-2082-5080

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