Analyzing State-Level High School CS Teacher Certification Through Dataset ExplorationK12
Understanding the nuances of Computer Science (CS) education at the state level in high schools requires a thorough examination of complicated datasets. Numerous researchers have gathered a variety of data sources, including surveys, professional development (PD) workshops, publicly available records, enrollment statistics, and much more to gain insight into high school CS education. While these sources provide valuable starting points, the identification of CS teacher certifications remains a complex challenge. We introduce an innovative approach for the collection and analysis of confidential and public data reported to the state Department of Education (DoE), specifically focusing CS teacher certification process from the 2016 to 2021 academic years (AY). Data collection related to CS education is relatively new to our state, making the task of interpreting this data both challenging and intricate. Despite a 30-year history of CS certification requirements in our state, an anomaly seems to exist where an increasing number of high schools offer CS courses without a certified CS teacher. Our findings highlight a net decrease in certified CS teachers within the state over the five years of available data. In this poster, we provide detailed insights into the state’s CS teacher certification process and identify the current ecosystem of certified CS teachers in our state. Ultimately, every student deserves the expertise of a highly qualified teacher to guide them through CS courses.