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The purpose of this study is to investigate the narratives of 93 Black women in computing in the USA to identify salient themes that are at the intersection of race and gender in the field of computer science.

The study uses a multi-method approach with a survey to describe the sample and a series of focus groups for in-depth analysis of themes. The qualitative methodology uses a grounded theory and consensual qualitative research approach with a research team that includes computer scientists and social scientists to collect and analyze data. Given the highly technical field of computer science and the intersectional experiences of the participants, this approach was optimal to capture and code data through the lens of Black women in computing.

The authors found four main themes that represented specific needs for Black women in the computing community. The first is the importance of linking Black women in computing (i.e. their recruitment, retention and career growth) to the bottom line of organizational and personal accountability. The second is effective cultural and educational supports for Black women in computing across pathways, starting in middle school. The third is to provide leadership development as a part of their educational and workplace experience. The fourth is a collection of empirical research and scholarship about and for Black women as a part of the computing literature.

Black women comprise one of the most underrepresented subgroups in the area of computer science in the USA. There is very little research about Black women in computing. To promote broadened participation in computing, there is a critical need to understand the narratives of successful Black women in the space.

The purpose of this study was to determine if perceptions that women and men hold toward careers in information technology (IT) and toward women working in IT create potential barriers that may prevent women managers from pursuing careers in IT.

A field study was designed to test the hypotheses. The subjects were graduate students pursuing either an MBA or IT management degree.

The results revealed that males had greater self‐efficacy for IT occupations, greater passion for computing, and less positive attitudes toward capabilities of women in IT. Our prediction that career barriers would intensify for women who chose an IT management option was not supported. These findings suggest that traditional work role expectations concerning women's efficacy for careers in IT still persist.

This research was limited by its focus on subjects in the early stages of a management career. To gain a better understanding of the barriers that women face in IT career fields, longitudinal studies are needed to track these barriers throughout the career development process.

If organisations want to attract, retain, and advance women managers in IT fields, they must proactively address gender role biases and create work environments that build self‐efficacy expectations for women, as well as for men.

Much of the research on career barriers women face in IT is based on qualitative studies and anecdotal evidence. This study provides empirical evidence that barriers still exist for women in IT despite the enhanced demand for IT professionals and managers over the past decade.

Self-efficacy and outcome expectations influence the development of career interests, which, in turn, affect career choices. This study aims to understand self-efficacy beliefs and expectancy outcomes for African-American graduate students and faculty with a focus in science, technology, engineering and mathematics (STEM) degree programs, namely, the computing sciences.

This qualitative study examined the lived experiences of 23 African-American graduate students and faculty members in the STEM field of computing sciences.

This study reveals that in different stages of the STEM trajectory, self-efficacy of STEM and computing needs to be reestablished. This research captures a novel space in the self-efficacy literature, presenting self-efficacy as a mobile construct to be re-achieved as students’ progress toward advanced STEM degrees. In addition, this study asserts that the contribution and input of teachers, parents, mentors, counselors and peers has a deep impact on the level of self-efficacy and persistence in computing sciences.

Findings suggest a greater need for interventions designed to reestablish self-efficacy at each level (e.g. undergraduate, masters and doctoral degrees) of the STEM educational trajectory in an effort to broaden STEM participation at the highest levels of degree attainment.

This paper aims to investigate what factors influence women’s meaningful and equitable persistence in computing and technology fields. It draws on theories of learning and equity from the learning sciences to inform the understanding of women’s underrepresentation in computing as it investigates young women who showed an interest in computing in high school and followed-up with them in their college and careers.

The mixed-methods approach compares data from quantitative surveys and qualitative focus groups and interviews. The sample comes from database of 1,500 young women who expressed interest in computing by applying for an award for high schoolers. These women were surveyed in 2013 and then again in 2016, with 511 women identifying themselves as high schoolers in 2013 and then having graduated and pursued college or careers in the second survey. The authors also conducted qualitative interviews and focus groups with 90 women from the same sample.

The findings show that multiple factors influence women’s persistence in computing, but the best predictor of women’s persistence is access to early computing and programming opportunities. However, access and opportunities must be evaluated within broader social and contextual factors.

The main limitation is that the authors measure women’s persistence in computing according to their chosen major or profession. This study does not measure the impact of computational thinking in women’s everyday lives.

Educators and policymakers should consider efforts to make Computer Science-for-All a reality.

Few longitudinal studies of a large sample of women exist that follow women interested in computing from high school into college and careers particularly from a critical educational equity perspective.

This paper aims to examine a subset of survey data collected through the Computing Research Association's Graduate Cohort Program to see how well theoretical and empirical factors fit with the actual motivations of women graduate students from different cultural backgrounds.

Survey responses from international and US women participants in a support program for CSE graduate women in the USA are compared.

These analyses indicate that US and international women are similar in what drew them to graduate computing programs. It was chiefly their interest in and enjoyment of computing. They differ in the attraction of particular career features, influence of peers, and belief in the value of competition among graduate students.

This study is limited by the extent to which these data permit thorough testing of theoretical models, and by lack of comparison with men in computing or women who chose not to enter a graduate computing program.

The similarities and differences between international and US women in CSE suggest ways to improve the gender balance in this field.

This study provides unique insight into an understudied population.

Much of the extant research, practice and policy in engineering education has focused on the limited persistence, waning interest and lack of preparation among Black students to continue beyond the post-secondary engineering pipeline. However, this research suggests that many Black PhD students persist and succeed in engineering, fueled by various motivational strengths. To better understand the motivations of Black students in engineering doctoral programs, this study aims to explore the factors that influence their decision to enroll in either an engineering or a computing doctoral program.

This paper uses an intrinsic and extrinsic motivational framework to investigate the inspiration of 44 Black engineering doctoral students in PhD engineering programs in 11 engineering schools across the country.

Results show that the participants’ motivation to pursue a PhD in engineering comes from several distinct factors, including the following: an unyielding passion for their particular discipline, a sense of responsibility to serve marginalized peoples and society, a path toward autonomy, pre-PhD mentorship and research opportunities and family and prior work experience.

Based on this study’s findings, a reconceptualization of graduate engineering education that incorporates the importance of “being Black” and its relationships with motivating and, potentially, retaining Black science, technology, engineering and mathematics (STEM) students is also offered.

This paper seeks to expose particular constructs and behaviors surrounding Black students’ motivation to learn and achieve in engineering at the highest academic levels, offering a more nuanced perspective than currently is found in traditional engineering education literature.

The purpose of this paper is to present a four component model of ethical behavior that integrates literature in moral psychology, computing ethics, and virtue ethics as informed by research on moral exemplars in computing. This is part 2 of a two part contribution, part 1 having appeared in Vol. 6 No. 3.

This psychologically based and philosophically informed model argues that moral action is grounded in relatively stable personality characteristics, guided by integration of morality into the self‐system, shaped by the context of the surrounding moral ecology, and facilitated by morally relevant skills and knowledge.

The model seeks to explain the daily successful (and unsuccessful) performance of moral action by computing professionals and to provide groundwork for a pedagogy that emphasizes ethically effective performance.

The model has significant implications for how ethical action to computer professionals and other design professionals might be taught. It also makes recommendations about what need to be measured to construct a complete picture of sustained ethical action in a profession.

Most accepted models of ethical behavior are unidimensional, emphasizing either principled reasoning or a simplistic model of integrity/character. This model brings together a variety of disparate literatures in the light of its emphasis on sustained moral action in the profession. It thereby provides researchers and educators with a picture of what is needed to construct a complete understanding of moral action in the profession.

The purpose of this paper is to present a four component model of ethical behavior (PRIMES) that integrates literature in moral psychology, computing ethics, and virtue ethics as informed by research on moral exemplars in computing. This is part 1 of a two‐part contribution.

This psychologically based and philosophically informed model argues that moral action is: grounded in relatively stable PeRsonality characteristics (PR); guided by integration of morality into the self‐system; shaped by the context of the surrounding moral ecology; and facilitated by morally relevant skills and knowledge (S).

The model seeks to explain the daily successful (and unsuccessful) performance of moral action by computing professionals and to provide groundwork for a pedagogy that emphasizes ethically effective performance.

The model has significant implications for how ethical action might be taught to computer professionals and other design professionals. It also makes recommendations about what is needed to measure to construct a complete picture of sustained ethical action in a profession.

Most accepted models of ethical behavior are unidimensional, emphasizing either principled reasoning or a simplistic model of integrity/character. This model brings together a variety of disparate literatures in the light of its emphasis on sustained moral action in the profession. It thereby provides researchers and educators with a picture of what is needed to construct a complete understanding of moral action in the profession.

This paper aims to discuss the challenge for the classical idea of professionalism in understanding the Chinese software engineering industry after giving a close insight into the development of this industry as well as individual engineers with a psycho‐societal perspective.

The study starts with the general review of the sociological concept of profession, professional and specialization of knowledge. Together with revealing the critical challenge from the empirical field of software engineering industry regarding its professionalization, a critique of the neglect of subjective agency in classical conception of professionalism in sociology theory and methodology is set out.

A case study with interpretation of the subject's continuously developing identification with their specialization in knowledge and occupation from their narration of career experience reveals the dynamics in this development process relating to individual, social practice and societal factors.

This paper contributes to empirical research of analyzing the professionalization process of software engineering and software engineers in relation to the concept of professionalism, and it contributes theoretically by discussing the challenge of this process to the development of professionalism within this highly knowledge‐based industry in a Chinese societal context.

Internet has changed radically in the way people interact in the virtual world, in their careers or social relationships. IoT technology has added a new vision to this process by enabling connections between smart objects and humans, and also between smart objects themselves, which leads to anything, anytime, anywhere, and any media communications. IoT allows objects to physically see, hear, think, and perform tasks by making them talk to each other, share information and coordinate decisions. To enable the vision of IoT, it utilizes technologies such as ubiquitous computing, context awareness, RFID, WSN, embedded devices, CPS, communication technologies, and internet protocols. IoT is considered to be the future internet, which is significantly different from the Internet we use today. The purpose of this paper is to provide up-to-date literature on trends of IoT research which is driven by the need for convergence of several interdisciplinary technologies and new applications.

A comprehensive IoT literature review has been performed in this paper as a survey. The survey starts by providing an overview of IoT concepts, visions and evolutions. IoT architectures are also explored. Then, the most important components of IoT are discussed including a thorough discussion of IoT operating systems such as Tiny OS, Contiki OS, FreeRTOS, and RIOT. A review of IoT applications is also presented in this paper and finally, IoT challenges that can be recently encountered by researchers are introduced.

Studies of IoT literature and projects show the disproportionate importance of technology in IoT projects, which are often driven by technological interventions rather than innovation in the business model. There are a number of serious concerns about the dangers of IoT growth, particularly in the areas of privacy and security; hence, industry and government began addressing these concerns. At the end, what makes IoT exciting is that we do not yet know the exact use cases which would have the ability to significantly influence our lives.

This survey provides a comprehensive literature review on IoT techniques, operating systems and trends.