Capstone Project Title
Jennifer Carlson and Feride Erku
In today’s technology-filled world, employers seek applicants with strong computational thinking (CT) skills and computer science (CS) backgrounds. The demand for CT education reaches all the way to the elementary level. Wing (2006) states “computational thinking is a fundamental skill for everyone, not just for computer scientists” (p. 33). Though researchers are continuing to define all aspects of CT, the major elements include: algorithmic thinking, pattern recognition, decomposition, and abstraction. The digital age has also caused an increase in screen time, time children spend in front of a device, which has prompted studies on the negative physical and psychological effects it can have on children. Scoggin (2018) explains that school students are demonstrating a lack of social skills due to increased screen time in the classroom. As a response to this research, this capstone builds on relevant studies and provides a unit of lessons to answer the question: How can second-grade students learn algorithmic thinking and pattern recognition through collaborative learning? The detailed project includes cooperative activities and assessments to teach CT skills without the use of devices.
Teachers/ Teaching, Technology, Computational Thinking, Screen Time
Walth, Christine, "How can second-grade students learn algorithmic thinking and pattern recognition through collaborative learning?" (2019). School of Education and Leadership Student Capstone Projects. 399.
School of Education Student Capstone Projects