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Introduction to the Special Issue on Situating the Intersectional Experiences of Black Girls and Women in Computing & Technology
This special issue builds on and expands computing’s engagement with Black feminist epistemologies like Intersectionality and Black Feminist Thought, exploring the intersectional experiences of Black girls and women in computing, technology, and computing ...
Outsiders Within: How Do Black Girls Fit into Computer Science for All?
Objectives. At the K–12 level, “CS for All” initiatives across the country strive to increase equitable access to and participation in computer science (CS). However, there are many open questions about the implementation and effectiveness of these ...
The Important Role Social Capital Plays in Navigating the Computing Education Ecosystem for Black Girls
- Camille Ferguson,
- Vanora Thomas,
- Juan Del Toro,
- Daniel Light,
- Kamau Bobb,
- Peta-Gay Clarke,
- Shameeka Emanuel,
- Ed Gronke,
- Mary Jo Madda,
- Imani Jennings
Black women represent the greatest underrepresentation in STEM fields, particularly the technology sector. According to a 2015 article in The Verge, Black women make up between 0% and 7% of the staff at the eight largest technology firms in the United ...
An Examination of Black Undergraduate Women's Intersectional Experiences and Academic Motivation in Computing Education
Objectives. We aim to understand, from a motivational perspective, how Black undergraduate women in computing make sense of their intersectional computing experiences. We examine their motivation to major in computing, their experiences as Black women in ...
Mirror Mentoring: Black Women’s Experiences Serving as Mentors for Black Girls During a Virtual Computer Science Camp
Several studies have reported the positive benefits of informal Computer Science learning programs for Black girls, which include staff, mentors, and peers reflective of the girls in the program; however, we do not know enough about what motivates Black ...
Retaining Black Women in Computing: A Comparative Analysis of Interventions for Computing Persistence
- Susan R. Fisk,
- Brittany Watts,
- Courtney Dress,
- Charlotte Lee,
- Audrey Rorrer,
- Tom McKlin,
- Tiffany Barnes,
- Jamie Payton
Black women remain severely underrepresented in computing despite ongoing efforts to diversify the field. Given that Black women exist at the intersection of both racial and gendered identities, tailored approaches are necessary to address the unique ...
CS=Me: Exploring Factors that Shape Black Women's CS Identity at the Intersections of Race and Gender
Improving equity and inclusion for underrepresented groups in the field of Computer Science (CS) has garnered much attention. In particular, there is a long-standing need for diversity efforts that center on the experiences of Black women, and specific ...
A Realist Review of Undergraduate Student Attitudes towards Ethical Interventions in Technical Computing Courses
As computing educators begin to recognize that their students need strong ethical foundations, there is a growing interest to integrate meaningful ethics education into undergraduate computing curricula. To achieve this, it is crucial to understand how ...
Are Professional Skills Learnable? Beliefs and Expectations Among Computing Graduates
Integrating graduate education with professional skills development is still a challenge. People's beliefs about learning impact their learning processes. Therefore, we need to understand the mindset of graduates to determine best practices for promoting ...
How Do First-Year Engineering Students’ Emotions Change while Working on Programming Problems?
Emotions are a complex multi-faceted phenomenon. To assess the complexity of emotions from different facets, multi-modal approaches are necessary. However, multi-modal approaches are rarely used for assessing emotions, especially in the context of ...
Co-ML: Collaborative Machine Learning Model Building for Developing Dataset Design Practices
- Tiffany Tseng,
- Matt J. Davidson,
- Luis Morales-Navarro,
- Jennifer King Chen,
- Victoria Delaney,
- Mark Leibowitz,
- Jazbo Beason,
- R. Benjamin Shapiro
Machine learning (ML) models are fundamentally shaped by data, and building inclusive ML systems requires significant considerations around how to design representative datasets. Yet, few novice-oriented ML modeling tools are designed to foster hands-on ...
Contextualization, Authenticity, and the Problem Description Effect
In recent years, computing education researchers have investigated the impact of problem context on students’ learning and programming performance. This work continues the investigation motivated, in part, by cognitive load theory and educational research ...
Professional Development in Computational Thinking: A Systematic Literature Review
This paper presents a systematic literature review of professional development programs in computational thinking (CT). CT has emerged as an essential set of skills that everyone should develop to participate in a global society. However, there were no ...
Debugging Pathways: Open-Ended Discrepancy Noticing, Causal Reasoning, and Intervening
Learning to respond to a computer program that is not working as intended is often characterized as finding a singular bug causing a singular problem. This framing underemphasizes the wide range of ways that students and teachers could notice ...