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Overlaying Computer Science (CS) courses on top of inequitable schooling systems will not move us toward "CS for All." This paper prioritizes the perspectives of minoritized students enrolled in high school CS classrooms across a large, urban school district in the Western United States, to help inform how CS can truly be for all. This paper explores what student agency looks like while answering the research question "From the perspective of minoritized students historically underrepresented in computing, what makes a critical difference in their sense of agency in introductory CS high school classes?" Our research-practice partnership used qualitative data (including classroom observations, interviews, student artifacts, and video/photos) and surveys to surface the perspectives and visions of minoritized youth. The research describes what student agency looks like as youth – who have had no prior CS learning experiences – use CS as a tool to resist marginalization and dehumanizing school contexts, while declaring their own "rightful presence" in CS classrooms. Findings demonstrate the importance for CS curricula and pedagogy to center the lives of students in ways that are consequential for minoritized youth. This would support deeper engagement with content learning and student agency with computing. [ABSTRACT FROM AUTHOR]

Background and Context: Non-traditional training grounds such as coding boot camps that attract a higher proportion of women are important sites for understanding how to broaden participation in computing. Objective: This work aims to help us better understand the women choosing boot camps and their pathways through these camps and into the computing workforce. Method: This paper reports on a longitudinal, qualitative study investigating female boot camp attendees. Findings: Findings show that women attending boot camps are career changers that develop an interest in software development too late to major in CS, discovering a post-college enjoyment of programming undertaken to support work goals at a current job or an aspirational job. Implications: Women at boot camps illustrate a missed opportunity to diversify postsecondary CS classrooms when not recruited early, not given interdisciplinary options, not exposed to enjoyable programming tasks, and not exposed to the array and number of job prospects. [ABSTRACT FROM AUTHOR]

Background and Context: Though computer science education is marked by a pronounced racial participation gap, there is little research about effective ways that teachers can be supported in creating racially-just and equitable computer science learning opportunities for students. Objectives: This paper examines how teachers engage in learning about race and equity in computer science education during professional development. Method: Drawing from data collected from 94 participants attending a summer week-long Exploring Computer Science workshop, this mixed-methods study revealed how key curricular and instructional features of professional development foster race-conscious discussions and shifts in beliefs and agency around broadening participation in computing. Findings: Given the importance of developing teacher capacity to increase opportunities for students of color in computing classrooms, the findings of this study highlight how intentionally integrating race education in the center of professional development for teachers can support teachers' equity-based beliefs and practices. Implications: Professional development for teachers that seeks to broaden participation in computing is supported by long-term professional learning that explicitly center issues of race and equity in the curriculum. [ABSTRACT FROM AUTHOR]

This theoretical paper explores the need for enhanced, intersectional computing identity theory for the purpose of developing a diverse group of computer scientists for the future. Greater theoretical understanding of the identity formation process specifically for computing is needed in order to understand how students come to understand themselves as computer scientists. To ensure that the next generation of computer scientists is diverse, this paper presents a case for examining identity development intersectionally, understanding the ways in which women and underrepresented students may have difficulty identifying as computer scientists and be systematically oppressed in their pursuit of computer science careers. Through a review of the available scholarship, this paper suggests that creating greater theoretical understanding of the computing identity development process will inform the way in which educational stakeholders consider computer science practices and policies. [ABSTRACT FROM AUTHOR]

This paper describes the development, validation, and uses of the Collaborative Computing Observation Instrument (C-COI), a web-based analysis instrument that classifies individual and/or collaborative behaviors of students during computing problem-solving (e.g. coding, programming). The C-COI analyzes data gathered through video and audio screen recording software that captures students’ computer screens as they program, and their conversations with their peers or adults. The instrument allows researchers to organize and quantify these data to track behavioral patterns that could be further analyzed for deeper understanding of persistence and/or collaborative interactions. The article provides a rationale for the C-COI including the development of a theoretical framework for measuring collaborative interactions in computer-mediated environments. This theoretical framework relied on the computer-supported collaborative learning literature related to adaptive help seeking, the joint problem-solving space in which collaborative computing occurs, and conversations related to outcomes and products of computational activities. Instrument development and validation also included ongoing advisory board feedback from experts in computer science, collaborative learning, and K-12 computing as well as classroom observations to test out the constructs in the C-COI. These processes resulted in an instrument with rigorous validation procedures and a high inter-rater reliability. [ABSTRACT FROM PUBLISHER]

Reduction is one of the key techniques used for problem-solving in computer science. In particular, in the theory of computation and complexity (TCC), mapping and polynomial reductions are used for analysis of decidability and computational complexity of problems, including the core concept of NP-completeness. Reduction is a highly abstract technique that involves revealing close non-trivial connections between problems that often seem to have nothing in common. As a result, proper understanding and application of reduction is a serious challenge for students and a source of numerous misconceptions. The main contribution of this paper is detection of such misconceptions, analysis of their roots, and proposing a way to address them in an undergraduate TCC course. Our observations suggest that the main source of the misconceptions is the false intuitive rule “the bigger is a set/problem, the harder it is to solve”. Accordingly, we developed a series of exercises for proactive prevention of these misconceptions. [ABSTRACT FROM PUBLISHER]

To support teachers to implement Computer Science curricula into classrooms from the very first year of school, teachers, schools and organisations seek quality curriculum resources to support implementation and teacher professional development. Until now, many Computer Science resources and outreach initiatives have targeted K-12 school-age children, with the intention to engage children and increase interest, rather than to formally teach concepts and skills. What is the educational quality of existing Computer Science resources and to what extent are they suitable for classroom learning and teaching? In this paper, an assessment framework is presented to evaluate the quality of online Computer Science resources. Further, a semi-systematic review of available online Computer Science resources was conducted to evaluate resources available for classroom learning and teaching and to identify gaps in resource availability, using the Australian curriculum as a case study analysis. The findings reveal a predominance of quality resources, however, a number of critical gaps were identified. This paper provides recommendations and guidance for the development of new and supplementary resources and future research. [ABSTRACT FROM PUBLISHER]

Despite the current growing popularity of the computer science (CS) major, women remain sorely underrepresented in the field, continuing to earn only 18% of bachelor’s degrees. Understanding women’s low rates of participation in CS is important given that the demand for individuals with CS training has grown sharply in recent years. Attracting and retaining more women to high-paying fields like CS may also help narrow the gender pay gap. Further, it is important that women participate in developing new technology so that technology advances serve the needs of both women and men. This paper explores the background characteristics, career aspirations, and self-perceptions of 1636 female first-year college students in the United States who intend to major in CS and compares them with 4402 male CS aspirants as well as with 26,642 women planning to major in other STEM sub-fields. The findings reveal a unique profile of women who pursue the CS major and notes many significant differences between men and women in CS and between women in CS and those in other STEM fields. For instance, women in CS tend to earn lower high school grades than women in other STEM fields, but earn higher SAT verbal scores. They also rate themselves higher than men in CS and women in other STEM fields on measures of their artistic ability, but rate themselves lower on other self-ratings, including academic and leadership ability. Further, women in CS are more likely to be undecided in their career plans than men in CS and women in other STEM fields. Understanding the unique characteristics of women in CS will help inform policies and recruitment programs designed to address the gender gap in computing. [ABSTRACT FROM PUBLISHER]

Computational thinking (CT) is considered as a valuable literacy for all students, and its inclusion in compulsory schooling could increase the numbers of underrepresented students who pursue computing-related careers. Computer Science Unplugged (CSU) had success in making computer science (CS) accessible to K–12 students in outreach settings. Such "unplugged" approaches have the potential to do the same in formal education. This review considers how research findings on unplugged pedagogies might advance CS/CT education priorities, while highlighting areas of unknown and tension. We conducted a search in academic databases using terms +unplugged "computer science" and +unplugged CT, and related terms. We synthesized our review with existing ones to inform the priorities of CS-for-all and CT development. We surfaced CSU's limitations to broaden access for underrepresented students and suggested a remedy. We proposed 10 research questions that fill key gaps to support efforts that provide just access to quality CS/CT education. [ABSTRACT FROM AUTHOR]

This study explores the changes in Computer Science (CS) students’ self-efficacy between entering study and the end of first year of university. It aims to give course leaders insights into the everyday challenges that affect students’ academic achievement and persistence into second year. The paper begins by proposing that the way CS is taught, the gender imbalance on CS courses, and the experience of the key transitional year into university might influence CS students’ non-continuation. It adopts an academic buoyancy conceptualisation of resilience. Acknowledging the scarcity of instruments covering CS students’ transition to university, the development of a new 20-item questionnaire is described, based on CS students’ own contributions of the challenges they faced during first year. The instrument is administered twice in one session to the same cohort. Analysis of paired responses indicates a loss of confidence to overcome challenges in most aspects, particularly staying motivated to study. [ABSTRACT FROM PUBLISHER]

An introduction is presented in which the editor discusses various reports within the issue on topics including research on concept inventories in Computer Science, the state of the art in concept inventories, and use of concept inventories in very different ways.

Background and context: This study investigates differences in views of girl and boy members of a CS club.Objective:Understanding differences in the views of girls and boys regarding perceived parental attitudes and values, social support, appreciation of CS, and engagement in science and CS. Understanding differences in girls' and boys' view of CS, and future study and work aspirations related to science/CS.MMethod: A survey was distributed to all members of a CS club. 115 boys and 39 girls aged 9–16 completed the survey, yielding a response rate of 16.8%.Findings: Similar parental support was perceived by both genders, although girls are less likely to appreciate CS and to aspire to work or study CS. Girls tend to primarily talk to family about CS and science. Girls and boys have a similar perception of CS, but their motivation for wanting to work with CS varied.Implications:Having support, a broad understanding of CS, and a personal interest are critical aspects when it comes to girls' participation in CS, but these are insufficient in making girls aspire to work or study CS. Educators need to reflect on other aspects of CS education that can promote girls' aspiration in CS. [ABSTRACT FROM AUTHOR]

Researchers have been looking into the complexity of computer science (CS) education and tried to apply rigorous and relevant educational research methods to understand and facilitate the learning experience of students. The purpose of this study was to explore college students' conceptions of learning CS to shed light on student learning activities, feelings, contexts, and beliefs about their learning. Draw-a-picture technique was used as an emerging research technique in CS education. Using a modified coding checklist, we analyzed the drawings into 9 categories with 50 sub-categories. College students most frequently expressed computer programming as the learning activity by illustrating syntax and semantics of programming languages in the drawings. Problem-solving constructs like decomposition and abstraction were also recorded along with other tools like diagramming techniques. Gender and prior computer science experience were analyzed as moderators. The results provide a baseline for future research on the topic and preliminary evidence in using the method to discern student learning conceptions in CS. [ABSTRACT FROM AUTHOR]

Background and Context: EarSketch was developed as a program to foster persistence in computer science with diverse student populations. Objective: To test the effectiveness of EarSketch in promoting intentions to persist, particularly among female students and under-represented minority students. Method: Meta-analyses, structural equation modeling, multi-level modeling, and qualitative analyses were performed to examine how participation in EarSketch and other factors affect students' intentions to persist in computing. Findings: Students significantly increased their intentions to persist in computing, g =.40[.25,54], but examination within just the five quasi-experimental studies did not result in a significant difference for students in EarSketch compared to students not in EarSketch, g =.08[−.07,.23]. Student attitudes towards computing and the perceived authenticity of the EarSketch environment significantly predicted intentions to persist in computing. Implications: Participation in computer science education can increase students' intentions to persist in programming, and EarSketch is one such program that can aid in these intentions. [ABSTRACT FROM AUTHOR]

Computing is being integrated into a range of STEM disciplines. Still, computing remains inaccessible to many minoritized groups, especially girls and certain people of color. In this mixed methods study, we investigated racial and gendered patterns of equity and inequity in high school physics classrooms incorporating computational modeling, with an emphasis on group work. The objectives of this study were: 1) to document equity patterns in student participation and how they vary based on group composition by race and gender; and 2) to understand how discourses of race and gender influence group interactions. We used the EQUIP web app () to analyze quantitative patterns in student participation. We then identified video of three group sessions and analyzed how discourses of race and gender mediated classroom interactions. Data show that racial hierarchies were prominent, with White students dominating group interaction and Black and Latinx students experiencing substantial marginalization. While there was evidence of gender equity in many groups – particularly those with greater proportions of girls – we show how computing and physics were still maintained as masculine spaces. Teachers of computing should intentionally structure learning environments to attenuate the impact of White supremacy and patriarchy. More research is also needed on how power operates in computing education at the level of classroom interaction. [ABSTRACT FROM AUTHOR]

Women are underrepresented in the field of computer science, a trend that in part can be traced to girls' early experiences with the discipline. Our aim is to show how three girls who became strong coders talked about their debugging practice at the intersection of problem solving, emotion, and identity. We use the portraiture methodology to trace the goodness of a designed programming workshop environment. We aim to show the trajectories of three strong coders over the course of two years of participation in weekend and summer workshops. We found that creative reflection spaces through journaling, art making, and storytelling opened possibilities for the learners to observe, understand, and critically examine the integration between problem solving, emotion, and identity in their programming experience. Findings have implications for designing inclusive programming learning environments that invite collective reflection on the moment-to-moment experience of learning to code. [ABSTRACT FROM AUTHOR]

Promoting open-ended projects presents new opportunities and challenges for inclusive teaching in CS classrooms. While efforts have been made to develop inclusive curricula, little research has focused on ways teachers apply curricula in their classrooms to promote inclusion. To understand the challenges faced in facilitating an open-ended unit and the pedagogical strategies enacted to address those challenges, we analyze the self-reported teaching practices that experienced teachers developed in their implementation of a constructionist electronic textiles unit in Exploring Computer Science. We inductively analyzed and coded 17 experienced teachers' weekly surveys and post-interviews. Teachers leveraged local resources and contexts to adapt classroom activities as well as developed new perspectives on computing as ways to foster inclusivity. We propose further opportunities for CS teachers to consciously reflect and draw upon the assets and funds of knowledge of their students' communities when facilitating open-ended, inclusive activities. [ABSTRACT FROM AUTHOR]

Background and Context: Pair programming is used in classrooms to promote learning and engage a more diverse group of students in computing fields, but little is known about what it looks like in middle school. Objective: The aim of this study was to examine how programming pairs were interacting and about what. Method: Video, audio, and screen capture data were collected and analyzed from 66 middle school students working in pairs to program a computer game in an after-school class. Findings: Less than half of pairs interaction time was about their game, and one third of their time was spent not interacting at all. Most behaviors were collaborative. There were few differences across demographic groups. Factors that significantly influenced interactions and behaviors included attitude toward collaboration and prior programming knowledge. Implications: We discuss how to use pair programming in the classroom, including how to pair students to promote productive interactions. [ABSTRACT FROM AUTHOR]

Higher-education students now have more alternatives for searching for information than previous generations had. The Internet is a vast ocean of information sources, albeit with diverse reliability and quality. In Web 2.0 platforms, any participant can be a content creator. This reality is challenging for both the instructors and the students. We conducted interviews with 12 Computer Science students and 8 instructors from two universities to (a) identify the difficulties students encounter, if at all, (b) identify the learning processes that students undergo, if at all, when using the Internet for their CS studies, in particular, programming tasks; and (c) elicit instructors’ perceptions of students’ use of the Internet. Both students and instructors agreed that although using the Internet is not trivial, direct teaching of this skill is unnecessary. Instructors differed in their attitudes towards students’ use of the internet. We found that in the first year the students’ use of the Internet and their difficulties are similar to reports in the empirical literature, and echo the instructors’ concerns. However, after extensive experience, students undergo a learning process, and their ability to navigate the myriad sources, as well as to search, manage, and effectively evaluate Internet sources improves. Students mentioned their improved abilities to code as a means to effectively evaluate information sources. [ABSTRACT FROM AUTHOR]

Enrolling the cultural capital of underrepresented communities in PK-12 technology and curriculum design has been a primary strategy for broadening the participation of students of color in U.S. computer science (CS) fields. This article examines two ways that African-American cultural capital and computing can be bridged in CS education. The first is community representation, using cultural capital to highlight students’ social identities and networks through computational thinking. The second, computational integration, locates computation in cultural capital itself. I survey two risks - the appearance of shallow computing and the reproduction of assimilationist logics - that may arise when constructing one bridge without the other. To avoid these risks, I introduce the concept of computational communities by exploring areas in CS education that employ both strategies. This concept is then grounded in qualitative data from an after school program that connected CS to African-American cosmetology. [ABSTRACT FROM AUTHOR]

While there has been a remarkable interest to make computer science a core K-12 academic subject in the United States, there is a shortage of K-12 computer science teachers to successfully implement computer sciences courses in schools. In order to enhance computer science teacher capacity, training programs have been offered through teacher professional development. In this study, the main goal was to systematically review the studies regarding computer science professional development to understand the scope, context, and effectiveness of these programs in the past decade (2004–2014). Based on 21 journal articles and conference proceedings, this study explored: (1) Type of professional development organization and source of funding, (2) professional development structure and participants, (3) goal of professional development and type of evaluation used, (4) specific computer science concepts and training tools used, (5) and their effectiveness to improve teacher practice and student learning. [ABSTRACT FROM PUBLISHER]

We report on the development, validation, and implementation of a collection of test items designed to detect misconceptions related to first-year computer science courses. To this end, we reworked the development scheme proposed by Almstrum et al. (SIGCSE Bulletin38(4):132–145, 2006) to include students’ artifacts and to simultaneously incorporate think-aloud interviews and flash tests. We also investigated to what extent the practical efficiency of detecting certain misconceptions could be increased without significantly affecting the sensitivity of the instrument, and present positive and negative results regarding this goal. The results of a first transfer and implementation study suggest that it is indeed possible to use the test items in a large-scale practical setting – both as diagnostic instruments and as interventions. [ABSTRACT FROM PUBLISHER]