Integrating computer science (CS) content into existing STEM curricula emerges as a viable solution to broadening rural students' participation in CS, but rural students have a significant proficiency gap in science and mathematics. By focusing on an English language arts course as the context for CS integration, this exploratory study examined…

The purpose of this cross-case analysis is to understand how mathematics and English Language Arts (ELA) educators integrated social justice (SJ)-oriented computer science (CS) instruction into middle school classrooms. An integrated curriculum synthesises content and methods from two or more fields to teach curricular concepts and solve complex…

Purpose: We aim to better understand the curricular, staffing, and achievement trade-offs entailed by expansions of high-school computer science (CS) for students, schools, and school leaders. Methods: We use descriptive, correlational, and quasi-experimental methods to analyze statewide longitudinal course-, school-, and staff-level data from…

Artificial Intelligence (AI) literacy skills have become essential to prepare youths for 21st- century needs. Despite the efforts to broaden AI education in K-12 classrooms, teaching AI concepts is mostly limited to Computer Science classrooms. Nonetheless, approximately half of U.S. high school students cannot access any Computer Science classes.…

This dissertation presents the first Systemic Functional Linguistics-based analysis of the teaching/learning of computational thinking through computer programming and comprehensive analysis of discourse of a whole computer programming course at any educational level. The current educational research raises questions about the nature of authentic…