Research

ECEP (Expanding Computing Education Pathways)

Lead: Carol Fletcher, Sarah Dunton & Joshua Childs

ECEPopens in a new window is a collective impact alliance of 22 states and the territory of Puerto Rico. The National Science Foundation (NSF) supports ECEP through its Broadening Participation in Computing Alliance (BPC-A) program. The ECEP Alliance seeks to increase the number and diversity of students in the pipeline to computing and computing-intensive degrees by supporting state-level computing education reforms. Through interventions, pathways, partnerships and models that drive state-level computing education change, ECEP supports states as they work to align their state efforts with the national vision for computer science for all. The University of Texas at Austin serves as the backbone organizer for ECEP.

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AWSM in CS

Lead: Carol Fletcher & Joshua Childs

Accelerating Women's Success and Mastery in Computer Science (AWSM in CS) is an NSF funded Research Practitioner Partnership. AWSM in CS supports a Networked Improvement Community of 20+ secondary computing teachers all focused on increasing access and participation of young women in computing courses. This project seeks to apply the tools of improvement science to support teacher-led plan, do, study, act (PDSA) cycles that address this challenge and measure impact on females and particularly females of color.

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CEO (Computing Educator Opportunities Initiative)

Lead: Allen Antoine, Stephanie Baker, Carol Fletcher & Joshua Childs

The CEO Initiative consists of in-service educators who are committed to working to broaden participation in CS and will work in a community of practice as together they deepen their CS content knowledge, pedagogical skills, and effective teaching strategies.

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CS Equity Deep Dive

Lead: Jayce Warner & Stephanie Baker

CS Equity Deep Dive is a research project funded by a Google Computer Science Education Research (CS-ER) award that examines the factors that are associated with access to and participation in computing in middle and high school, as well as the relationship between secondary enrollment in CS and postsecondary outcomes. The study merges K-12 and college-level data from the Texas Education Research Center, the Stanford Education Data Archive, and the National Student Clearinghouse for over 3 million students to take an in-depth look at the correlates and consequences of disparities in students' access to and participation in computing education.

Quantifying Disparities in CS Education

Lead: Jayce Warner & Carol Fletcher

The purpose of this project is to identify effective methods for measuring inequities in CS education. One metric developed out of this project is the disparity indexopens in a new window, which can be used to quantify disparities between student subgroups in a way that makes for more accurate comparisons of inequities across populations of different sizes.

Motivation to Teach Computer Science (MTCS) Scale

Lead: Nicole Martin

The MTCS scale was developed to understand why teachers chose to teach computer science (CS). Grounded in self-determination theory, the scale characterizes teachers' motivation to teach CS on a continuum from external to increasingly internal motivation. The MTCS scale consists of 18 items with Likert-type response options, and results from factor analyses show that the scale has internal reliability and construct validity. This measure can be used by researchers and practitioners to investigate the motivations of CS teachers and use that understanding to strengthen CSEd by addressing challenges related to recruiting, preparing, and retaining teachers.

ScIP (Scaling Innovative Pedagogy)

Lead: Nicole Martin, Allen Antoine, & Carol Fletcher

An online course that equips educators with the resources and skills necessary to focus on broad access to, participation in, and experiences of computer science in their schools and classrooms.