Advancing Equity and Access: Addressing the Side Effects of Broadening Participation in Computer Science K–12 Education

The push to make computer science (CS) education available to all students has been closely followed by increased efforts to collect and report better data on where CS is offered, who is teaching CS, and which students have access to, enroll in, and ultimately benefit from learning CS. These efforts can be highly influential on the evolution of CS education policy, as education leaders and policymakers often rely heavily on data to make decisions. Because of this, it is critical that CS education researchers understand how to collect, analyze, and report data in ways that reflect reality without masking disparities between subpopulations. Similarly, it is important that CS education leaders and policymakers understand how to judiciously interpret the data and translate information into action to scale CS education in ways designed to eliminate inequities. To that end, this article expands on recent research regarding the use of data to assess and inform progress in scaling and broadening participation in CS education. We describe the CAPE framework for assessing equity with respect to the capacity for, access to, participation in, and experience of CS education and explicate how it can be applied to analyze and interpret data to inform policy decisions at multiple levels of educational systems. We provide examples using large, statewide datasets containing educational and demographic information for K-12 students and schools, thereby giving leaders and policymakers a roadmap to assess and address issues of equity in their own schools, districts, or states. We compare and contrast different approaches to measuring and reporting inequities and discuss how data can influence the future of CS education through its impact on policy.

This landscape study explored structural barriers to diversity in computing education by focusing on Computer Science Education State Supervisors (CSEdSS) in state education agencies. Positioned in 41 states, CSEdSS play a crucial role in ensuring equitable access to K-12 CS learning pathways. Despite efforts to expand CS education policy, equity issues in access persist. Based on a survey of CSEdSS (n=32) with a 78% response rate, we applied the Capacity for, Access to, Participation in, and Experience of (CAPE) Framework to analyze CSEdSS survey responses to questions about how they enact their role and the ways in which equity in CS education impacts their work. Findings revealed that CSEdSS leveraged the opportunities available to them to build capacity and advance equitable access to CS education across diverse state contexts, even as they navigated systems that present challenges to equitable implementation. The results highlighted the importance of using a critical analysis approach to interrogate policy enactment through a sociocultural and systems-based lens, addressing the complexities of implementing CS education policies at macrosystem, mesosystem, and microsystem levels to support inclusive and equitable pathways in CS education.

Motivation: Recent efforts to expand K-12 computer science education highlight the great need for well-prepared computer science (CS) teachers. Teacher identity theory offers a particular conceptual lens for us to understand computer science teacher preparation and professional development. The emerging literature suggests that teacher identity is central to sustaining motivation, efficacy, job satisfaction, and commitment, and these attributes are crucial in determining teacher retention. While the benefits associated with a strong sense of teacher identity are great, teachers face unique challenges and tensions in developing their professional identity for teaching computer science. Objectives: This exploratory study attempts to operationalize computer science teacher identity through discussing the potential domains, proposing and testing a quantitative instrument for assessing computer science teachers’ professional identity. Method: We first discussed the potential domains of computer science teacher identity based on recent teacher identity literature and considerations on some unique challenges for computer science teachers. Then we proposed the computer science teacher identity scale, which was piloted through a national K-12 computer science teacher survey with 3,540 completed responses. The survey results were analyzed with a series of factor analyses to test the internal structure of the computer science teacher identity scale. Results: Our analyses reveal a four-factor solution for the computer science teacher identity scale, which is composed of CS teaching commitment, CS pedagogical confidence, confidence to engage students, and sense of community/belonging. There were significant differences among the teachers with different computer science teaching experiences. In general, teachers with more computer science teaching experience had higher computer science teacher identity scores on all four factors. Discussion: The four-factor model along with a large national dataset invites a deeper analysis of the data and can provide important benchmarks. Such an instrument can be used to explore developmental patterns in computer science teacher identity, and function as a pedagogical tool to provoke discussion and reflection among teachers about their professional development. This study may also contribute to understanding computer science teachers’ professional development needs and inform efforts to prepare, develop, and retain computer science teachers.

This paper discusses the use of a collaborative learning environment, specifically designed for computer science education. In particular, we investigate how students (may) meaningfully learn computer science and how web technologies (may) support them in this process. For a comprehensive view of the problem, different instructional theories are considered, as well as specific requirements for computer science education, driving the research to the adoption of semantic technologies and to the definition of a specific semantic-wiki-based framework. In this scenario, the authors present an on- going research project, named Semantic-WikiSUN, which aims to investigate innovative strategies for learning and teaching computer science in the context of higher education. It is based on the use of semantic-wiki to support the sharing and acquiring of knowledge in this specific knowledge domain, enabling the application of basic pedagogical principles.

The effects of prior experience and gender on middle school students' computer science learning and monitoring accuracy in the Use-Modify-Create progression

Aim/Purpose: This paper aims to explore whether having state Computer Science standards in place will increase young children’s exposure to coding and powerful ideas from computer science in the early years. Background: Computer science education in the K-2 educational segment is receiving a growing amount of attention as national and state educational frameworks are emerging. By focusing on the app ScratchJr, the most popular free introductory block-based programming language for early childhood, this paper explores if there is a relationship between the presence of state frameworks and ScratchJr’s frequency of use. Methodology: This paper analyzes quantitative non-identifying data from Google Analytics on users of the ScratchJr programming app. Google Analytics is a free tool that allows access to user activity as it happens in real time on the app, as well as audience demographics and behavior. An analysis of trends by state, time of year, type of in-app activities completed, and more are analyzed with a specific focus on comparing states with K-12 Computer Science in place versus those without. Contribution: Results demonstrate the importance of having state standards in place to increase young children’s exposure to coding and powerful ideas from computer science in the early years. Moreover, we see preliminary evidence that states with Computer Science standards in place support skills like perseverance and debugging through ScratchJr. Findings: Findings show that in the case of ScratchJr, app usage decreases during the summer months and on weekends, which may indicate that coding with ScratchJr is more often happening in school than at home. Results also show that states with Computer Science standards have more ScratchJr users on average and have more total sessions with the app on average. Results also show preliminary evidence that states with Computer Science standards in place have longer average session duration as well as a higher average number of users returning to edit an existing project. Recommendations for Practitioners: Successful early childhood computer science education programs must teach powerful ideas from the discipline of computer science in a developmentally appropriate way, provide means for self-expression, prompt debugging and problem solving, and offer a low-floor/high-ceiling interface for both novices and experts. Practitioners should be aware in drops in computer science learning during the summer months when school is not in session. Recommendation for Researchers: Researchers should consider the impact of state and national frameworks on computer science learning and skills mastered during the early childhood years. Researchers should look for ways to continue engaging students in computer science education during times when school is not in session. Impact on Society: Results demonstrate the importance of having state CS standards in place to increase young children’s exposure to coding and powerful ideas from computer science in the early years. Moreover, we see preliminary evidence that states with Computer Science standards in place support skills like perseverance and debugging through ScratchJr. Future Research: Future research should continue collecting Google Analytics from the ScratchJr app and track changes in usage. Future research should also collect analytics from a wide range of programming applications for young children to see if the trends identified here are consistent across different apps.

Around the United States, educators are teaching new computer science (CS) education standards, including in Tennessee, which announced its first K-8 CS standards in 2018. In Tennessee, the standards are now the official guidelines for CS education at the K-8 level, what barriers prevent CS teaching and learning to become a reality, especially for elementary and middle grades teachers, are unknown. We developed and administered a needs survey for K-8 teachers regarding CS education as a part of a broader community-engaged project. From 251 K-8 teachers' responses, we found that CS is important to them, but there are barriers to meeting the standards. Qualitative items about needs and barriers related to CS education teachers revealed a demand for professional development and training opportunities for teachers to learn about both the technical aspects of computing education and embedding computing ideas across the K-8 curriculum. We will discuss the implications of these findings and will describe how these results will enable our efforts to provide professional learning opportunities for educators.

Background & Context Continuously developing teachers’ knowledge, practice, and professional identity is one of the key standards for effective computer science (CS) teachers. Objective This study aims to understand the landscape of CS teachers in the United States, the professional identity they hold, and how their background and teaching context are associated with their CS teacher identity. Method Using data of 3540 teachers, we performed a two-step cluster analysis to reveal homogeneous subgroups of CS teachers. The relationship between teachers’ backgrounds and their CS teacher identity was also assessed. Findings This study identified four profiles of CS teachers based on their professional identity. . CS teacher identity is strongly associated with teachers’ Computer Science Teachers Association membership, teaching responsibility, teaching experience, and their exposure to CS coursework. Implications More professional support is needed for CS teachers, especially for early-career CS teachers, elementary school teachers, and teachers with multiple responsibilities and little CS background.

In the quest to study and deliver Computer Science (CS) education reform, attention to gate-keeping teacher characteristics is imperative. Broad research in teacher education has demonstrated that teacher dispositions are an important driver of teacher motivation, professional choices, and classroom practices. Identification and measurements of teacher dispositions enables further analysis of how teacher beliefs may support or hinder effective practice in CS instruction, how teacher populations may differ, and how identified dispositions may change with exposure to various CS learning experiences. We analyzed 17 key documents produced by 12 national CS organizations using a grounded theory methodology to identify desirable attitudes and beliefs associated with CS and the CS education reform movement. The documents included standards, corporate research reports, advocacy tools for CS education, and organizational documents of professional associations for CS and CS Education. The analysis yielded several important dispositional targets for description and measurement in the area of teacher attitudes and beliefs. An analysis of 98 coded segments related to dispositions yielded consensus attitudes and beliefs. Professional documents in CS highlight an equity orientation, a teacher growth mindset, and identify key beliefs regarding (career) outcomes and epistemology of CS. It is possible, based on this analysis, to create a profile of a teacher who demonstrates the attitudes and beliefs of a reform-aligned CS teacher, the CS "Champion''. Instrument development along these factors is an important next step towards unlocking the analytical power of teacher attitudes and beliefs.

This paper explores the attitudes of Computer Science (CS) teachers in the Kingdom of Saudi Arabia (KSA) who are confronted by the Saudi Teaching Competencies Standards (STCS). The STCS is a response to a substantial need to develop both subject-specific pedagogical ability as well as teachers subject area knowledge. The Ministry of Education in the KSA is encouraging teachers to improve their practices to achieve the new quality requirements for education. This paper presents the results of an investigation of CS teachers’ views on educational belief changes in the KSA schools. The paper addresses how and why CS teachers adopt new educational beliefs in their teaching. The paper presents the results of the investigation of the CS teachers views on educational belief changes in the KSA schools and the STCS policy document guidelines. Research in the area of changing educational epistemology in teaching CS identifies six factors that influence teachers, these are personal pedagogical beliefs, peer learning, curriculum, self-directed learning, student feedback and the STCS. A mixed method study approach was adopted in this work. Content analysis has been applied to the interview transcript and thematic coding analysis to the government policy document (STCS). The results provide a valuable case study in the KSA and emphasize the weak relationship between educational epistemology change and the STCS norms. The findings show that the STCS should provide stronger guidance for CS teachers to keep changing beliefs in teaching CS. The STCS should offer supporting official resources to CS teachers to help them in changing their beliefs in regard to teaching CS.

Computer science (CS) education is rapidly expanding in the United States[4]. That said, the CS education field is still grappling with coming to consensus about definitions of K-12 CS and how to reach all students. While the CS education community has made great efforts to expand opportunity for under served groups, students with disabilities have regularly been left out of the conversation. According to the National Center for Education Statistics, approximately 13% of all students enrolled in public schools in the US receive special education services and 95% of these students are taught either part or full time in the regular classroom[3] . One aim of CSforALL is to increase equity in CS education and opportunities[5]. Recent studies have examined the challenges faced by students with disabilities in K12 CS education[1][2]. Including students with disabilities in CS classes not only increases their access to academic and career opportunities in CS, but it also gives them the opportunity to develop new ways of thinking and participating in the world that they would otherwise be potentially without. This panel addresses the inclusion of students with disabilities as part of the national all and seeks to augment the discussion initiated by the CSforALL Consortium and AccessCSforALL with the introduction of the Accessibility Pledge at the annual CSforALL Summit. This panel brings together four different experts, with a wide range of experience in regards to computer science education and students with disabilities, in an effort to expand both the national conversation and increase efforts related to including students with disabilities equitably in CS education. In this panel we present a group of CS education community members who represent multiple approaches to accessibility and serving students with disabilities, as well as diverse implementations; peer-to-peer mentoring, initiatives focused on a single subpopulation of students with disabilities, curriculum and platform providers, and district and state-wide solutions. The panelists, and the organizations they represent have a diversity of experiences to share, including current high school students and parents of students with disabilities.

The computer science (CS) education field is engaging in unprecedented efforts to expand opportunities in K-12 CS education, and to broaden participation of students traditionally underrepresented in CS. However, even as the field considers ways to provide access to high school computing in general, and the new AP CSP course in particular, one underrepresented group is often overlooked: students with learning differences (that is, students with specific learning disabilities and related attention deficit disorders, like ADHD). The national dialogue about broadening participation in K-12 computing education has given almost no voice to this population. As computer science education initiatives grow, K-12 teachers need evidence-based guidance about how to account for challenges specific to learning disabilities and attention deficit disorders so that these students who learn differently can access instruction and curriculum in ways that address their learning needs. This paper reports on the first phase of a National Science Foundation (NSF) supported exploratory research study (Grant #1542963) to address this problem. We describe our education research-practice partnership that aims to make CS more accessible for students who learn differently and in doing so, highlight the team's process of collaboration as a critical element to address the problem and support equitable learning in CS.

Computer Science (CS) education has caught a wave -- of media attention, public support, public/private commitments, broad-based participation by educators, and a surge in student enrollments at the undergraduate level. It is a startling change over just the last 5 years. Over that 5 years, much has been accomplished at the high school level. The Exploring Computer Science and Advanced Placement® CS Principles courses were created to engage and inspire a diverse mix of students. Hundreds of teachers and university faculty have collaborated to develop course materials, assessments, MOOCS, and models of teacher professional development. Over 2,000 high schools now offer new CS courses, but that leaves out more than 34,000.Even then, students will need more than a single course, they will need a K-16 CS pathway. At the K-8 level, CS does not have the decades of research on the teaching and learning that is available to many other, more established disciplines. A stronger evidence base is needed as the basis for pedagogy, curricula, standards, and teacher preparation. The CS community must put greater emphasis on research in CS education and broadening participation, and it must build stronger collaborations with researchers in related disciplines.Over the last 5 years, college-level CS departments have been inundated with students. This growth is fueled by a strong job market for CS majors and an increasing awareness that computation is fundamental to many other industry sectors and academic disciplines. How will departments cope with increasing numbers without sacrificing access or quality? How will they respond to increasing diversity of ethnicity and gender, but also of interests, and career goals of their students? For those interested in CS education, it's an exciting time, but it comes with some urgency. This talk will discuss how to catch the current wave, using it to full advantage.

Developing and improving teaching and learning in computer science is a complex task. One of the most significant challenges involves encouraging students, teachers and the formal university structures to all move in the same direction, for example to embrace the ideas of Scholarship of Teaching and Learning (SoTL). Much of the difficulty can be found in the fact that the intrinsic nature of SoTL implies that teaching and learning should be researched and critically examined. This in turn demands a development of underlying staff and organisational attitudes. As a consequence, the ways to relate to the students, the subject area, the teaching and our colleagues must scrutinised, with the intent of finding new teaching and learning forms. This contribution discusses an on-going four year project, ABoLT (Al Baha optimising Teaching and Learning), in which Uppsala University (UU) in Sweden and Al Baha University (ABU) in Saudi Arabia collaborate on developing computer science (CS) education at ABU, based in the ideas of SoTL to the benefit of both partners. In the project, ABU will renew its teaching in CS and, at the same time, initialise, formulate and conduct research in computing education, as a means to understand and improve its own teaching and the learning of its students.

K-12 computer science (CS) education has emerged as a vital component of modern education, nurturing computational thinking, problem-solving, and digital literacy. This study examines the K-12 CS education dynamics, emphasizing its impact and implications, particularly in the context of equity. Twitter data from 2017 to 2021 were collected, focusing on English-language tweets within the United States. This collection was completed before Elon Musk’s acquisition of the company and its subsequent rebranding to X. Three keyword sets span CS education, computational thinking – a core competency of CS learners and CS education organizations and conferences. The findings indicate: (1) a significant decrease in tweet volumes for each set of keywords after 2019, (2) the critical role of coding within a broader STEM education framework, and (3) the centrality of students in semantic networks formed by the tweets, highlighting the pertinence of a student-centered learning strategy in K-12 CS education. To ensure equitable access and opportunities, K-12 CS education in a broader STEM ecosystem should adopt student-centered learning, with teachers facilitating coding, programming, and technology education. These insights inform educators, policymakers, and researchers about K-12 CS education’s significance in preparing students for the future, with a strong emphasis on equity and inclusion.