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Utah's Foremost Platform for Undergraduate Research Presentation
2020 Abstracts

Coding and Mathematics Skills: Case Studies

Evans, Hannah; Peterson, Rebecca (Utah State University)

Faculty Advisor: Shumway, Jessica (Emma Eccles Jones College of Education & Human Services, School of Teacher Education and Leadership); Clarke-Midura, Jody (Emma Eccles Jones College of Education & Human Services, Instructional Teachnology and Learning Sciences Department); Lee, Victor (Emma Eccles Jones College of Education & Human Services, Instruction Technology and Learning Sciences Department); Silvis, Deborah (Emma Eccles Jones College of Education & Human Services, Instruction Technology and Learning Sciences Department)

The push for computer science integration in kindergarten classrooms is a surfacing topic in public education in the United States. One approach to this is to integrate computer science with mathematics. However, there is minimal research on computer science and computational thinking as it relates to mathematics in early childhood education. In order to address this need, we are part of a larger research project that is studying the integration of computer science and mathematics in kindergarten classrooms. Specifically, we are exploring computational thinking (CT) elements that we see students engaging in (e.g., algorithmic thinking, debugging, and decomposition) while at the same time exploring mathematics skills that emerge (e.g., measurement, spatial reasoning, and pattern recognition). We study these skills and elements as we teach formal coding instruction using play-based, screen free coding robots. In this presentation, we will present early results of this integration in local kindergarten classrooms. Our main research question is: What CT and mathematics skills and strategies emerge as a result of this formal coding instruction?

Our sample consists of 16 kindergarten students. Groups of 3-4 students participated in six 30-minute coding lessons, followed by an assessment interview. Our data set is made up of video data from both the coding instruction and the assessment interviews, as well as field notes and assessment score sheets. We will present descriptive statistics regarding these assessments, as well as in-depth case studies of 2 students (one student who scored high on their post-test, and one who scored low). We will present data from the videos of their individual experiences as they engaged in formal instruction, as well as data regarding their assessments, in order to answer our research question and analyze what CT and mathematics skills and strategies emerged as a result of their formal coding instruction.