Date of Award

Spring 4-28-2022

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

Department

Education

First Advisor/Committee Member

John Bond, Ed.D.

Second Advisor/Committee Member

Nyaradzo Mvududu, Ed.D

Third Advisor/Committee Member

Ann P. McMahon, Ph.D

Keywords

computational thinking, problem-solving, teacher education, instructional methods

Abstract

Computers infiltrate almost every aspect of our lives, including our homes and cars. For work, education, or personal fulfillment, computing has increased dramatically. The need for an educated workforce is expanding as technology devices become smaller, faster, and more powerful. We can teach students how to use math, logic, and computational thinking, a problem-solving process that allows the functionality of computing devices as part of innovative solutions. Teachers who receive professional development and resources to incorporate computational thinking can enhance problem-solving activities in all curriculum areas. Different instructional methods support the knowledge for problem-solving processes using computational thinking. Strategies to implement computational thinking in all subject areas are critical to pedagogical success. Providing teachers professional development for ongoing in-service is an area for future research.

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