Catálogo de publicaciones - revistas

<jats:p>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 professional skills development. In this study, we explore the perspective of computing graduates within an Engineering educational program. This study aims to answer the following research questions: Which skills do computing graduates perceive they need in the workplace, and how do they position themselves regarding these skills? What learning beliefs do computing graduates hold regarding the skills required in the workplace? The research team conducted semistructured interviews with computing graduates within an Engineering program to analyze their experiences. The interviews were analyzed using grounded theory. As a result, the participants viewed professional and technical skills as independent, with professional skills perceived as more relevant to work success. The participants considered themselves to possess these skills. Our findings identify four learning beliefs within a fixed and growth mindset: (1) An essential personal characteristic that context may influence; (2) a learning outcome determined by early experiences; (3) a learning process associated with informal learning experiences; and (4) a learning process associated with formal learning experiences. We acknowledge the differences in perception between alums and the industry regarding possessing essential professional skills. We also highlight the need to position these skills as learnable during lectures contributing to Computing and Engineering Education.</jats:p>

<jats:p> <jats:bold>Objectives.</jats:bold> 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 initiatives, including the extent to which exposing young people to CS early on can shape their longer-term CS interest and engagement. In this article, we examine CS participation among 6th–8th-grade Black girls and assess whether CS participation during middle school shapes CS interest and engagement during their first year of high school. We focus on Black girls in the hopes of developing a more nuanced and rigorous understanding of computing experiences at the intersection of racism and sexism in this field. </jats:p> <jats:p> <jats:bold>Participants.</jats:bold> The focal group of students in this study are 6th–8th-grade Black girls from New York City. We employ a comparative lens in this article, contextualizing the CS experiences and outcomes of Black girls to Latinas, Asian, and White girls, as well as Black boys. </jats:p> <jats:p> <jats:bold>Study Method.</jats:bold> We primarily rely on quantitative data for this article, applying a critical lens to our analyses and interpretation. More specifically, we conduct descriptive analyses of course-taking patterns as well as survey data that focus on student attitudes and beliefs about CS. We then carry out inferential analyses of students’ administrative records examining how, if at all, middle school CS participation is related to high school outcomes for Black girls. We employ a comparative lens and rely on qualitative data to make sense of our results. </jats:p> <jats:p> <jats:bold>Findings.</jats:bold> We find that, troublingly, Black girls in the district are disproportionately less likely to receive CS instruction in middle school. Black girls are also less likely than Black boys, Latinas, and White girls to feel that they belong in CS. However, Black girls in CS courses report similar levels of engagement, family, and peer support, as well as value for CS relative to other students in the district. Finally, we find that participation in CS courses in middle school does not increase the likelihood that Black girls will select high schools that offer CS courses or take a CS course during their first year of high school. </jats:p> <jats:p> <jats:bold>Conclusions.</jats:bold> Our findings suggest that to increase equitable access and participation in CS, it is not enough to simply expose students to CS coursework. We call for sustained attention to the experiences that Black girls have in their CS classes as well as broader structural barriers that might shape CS course-taking. </jats:p>

<jats:p>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 in computer science and other disciplines. The results of this study could help inform computing assessment design. If the context and authenticity of a programming problem aid student performance then, instructors’ time in creating appropriately contextualized programming problem descriptions is time well-spent. On the other hand, if the context of a programming problem hinders performance, then instructors should leave it out of programming problems.</jats:p> <jats:p>Recent studies investigating the impact of programming problem context on student success have arrived at different conclusions.</jats:p> <jats:p>Presented here is a series of experiments, conducted over 3 years, investigating the impact of context on novice programmers’ success in algorithmic programming assignments using three contextualized tasks and their generic counterparts. This experiment series also looked into the possibility of “authenticity” as a factor affecting performance. Common sense would suggest that a student would perform better on a problem if they understood or cared about it. Contextualization could provide authenticity and authenticity could provide interest. Research suggests that perceiving a problem as authentic has a positive effect on engagement and learning. Alternatively, if a problem is “just an abstract set of numbers”, it may be harder to make sense of the details and the lack of context could consequently contribute additional cognitive load to an already challenging assignment.</jats:p> <jats:p>The results of this study show that assignment context and problem context authenticity have no effect on the performance of novice programmers. We think, however, that contextualization could be worth investing in to support students’ interest in computing. Additional implications of the results suggest that instructors can assign equivalent versions of the same problem in varied contexts to suit their students’ interests without worrying if the context will hinder performance.</jats:p>

<jats:p> <jats:bold>Objectives.</jats:bold> 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 computing, and how these vary across institutional contexts. </jats:p> <jats:p> <jats:bold>Participants.</jats:bold> A sample of 77 Black undergraduate women in computing programs (computer science, computer engineering, information systems, information technology, and software engineering) from diverse college settings was recruited to participate in the study. </jats:p> <jats:p> <jats:bold>Study Method.</jats:bold> Participants responded to an online survey that included several Likert-scale measures for identity, motivation and retention variables, demographic questions, and two open-ended questions: <jats:italic>Why did you choose to study computing?</jats:italic> and <jats:italic>What is it like for you to be a Black female student in computing?</jats:italic> </jats:p> <jats:p> <jats:bold>Findings.</jats:bold> Key themes that emerged from our quantitative and qualitative analyses revealed the range of motivational factors driving Black undergraduate women to study computing and the nuances across their intersectional experiences in the computing education context. Additionally, Black undergraduate women located in HBCU computing education contexts demonstrated both similar and unique perspectives and experiences compared to their counterparts in non-HBCU settings. </jats:p> <jats:p> <jats:bold>Conclusions.</jats:bold> In addition to the isolation, pressure, power dynamics and epistemic violence experienced by Black women in the intersectional computing education context, the findings of this study display the unique cultural-social-psychological strengths of Black women in their positive valence and resilience, as well as their joy, empowerment, and achievement in computing. Increasing and complicating our knowledge of the motivations and intersectional experiences of Black women in undergraduate computing education, as well as understanding when and how their beliefs and perspectives vary across institutional context, will better inform efforts to retain them and promote their success both in college and into their careers. </jats:p>

<jats:p>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 actions to increase their representation—especially given the biases that they often encounter in the field. There is limited research concerning Black women in CS, specifically their conceptions of the field and their overarching CS identity development. More research in this area is especially important given the marginalization that Black women often experience at the intersections of their race and gender. Guided by a combination of critical theoretical lenses, this qualitative study examines Black women's conceptions of what it means to be a computer scientist and the degree to which those conceptions map onto how they see themselves in the field. Moreover, we explore experiences that help to bolster Black women's CS identity. The findings highlight key aspects of what it means to be a computer scientist for the Black women in this study—notably the ability to use computing to make societal contributions. Also, the results accentuate key nuances in the participants’ personal CS identification, particularly as it relates to the resilience required to overcome unique barriers that many Black women encounter when engaging within the field. Moreover, the findings highlight the importance of social support systems to facilitate Black women's CS identity development. Implications for policy and practice within education and industry are discussed.</jats:p>

<jats:p>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 students respond to ethical interventions in the classroom. This review examines the acceptance of ethical interventions in undergraduate computing courses, using the realist synthesis method to identify and refine underlying theories of student acceptance, and refine them through available studies. Four theories were identified in a synthesis of 13 reports, providing insight into what may improve student attitudes towards ethical interventions in which contexts and under which circumstances. The findings of this realist review offer guidance to intervention designers, researchers, and educators seeking to meaningfully engage students with ethics in computing education.</jats:p>

<jats:p> Black women represent the greatest underrepresentation in STEM fields, particularly the technology sector. According to a 2015 article in <jats:italic>The Verge</jats:italic> , Black women make up between 0% and 7% of the staff at the eight largest technology firms in the United States. This points to a glaring problem in terms of equity and inclusivity in the technology sector. Similar to their underrepresentation in the STEM sector, Black women's underrepresentation in the tech sector is related to pervasive and persistent prejudice and biased policies that endure in the United States, which have limited—and continue to limit—their access to quality education and spaces where Black women's cultural capital (i.e., ways of being) is acknowledged and appreciated. For most people, including Black women, social networks often make available opportunities and pathways toward realizing the roles they can play in the world or a particular industry. These webs of relationships and the embedded quality in them can be defined as an individual's social capital and be applied to any industry, including STEM and technology fields. In a practical sense, social capital allows an individual to leverage relationships for resources (e.g., information about internships and jobs or encouragement to persist through a difficult college course). In turn, these resources can contribute to economic opportunities (i.e., jobs) or social opportunities, such as relationships with gatekeepers who work in STEM fields that may lead to opportunities like jobs, projects, or financial backing. </jats:p> <jats:p>Research suggests that the social networks of Black young women rarely overlap with the networks of predominantly White and Asian males, who are overrepresented in the technology field. This weakens Black women's awareness of opportunities and training, and undermines their motivation to persist in the STEM sector. As a result of this increasing understanding of the role of social capital in career development, K–12 and higher education programs that are focused on equity in STEM fields have increasingly turned to the concept of social capital to address the traditional underrepresentation of certain groups, particularly Blacks, Latinos, and women in STEM fields. The following research investigates the experiences of Black girls who attended a program, Google's Code Next, designed to engage Black and Latinx youth in computer science. We argue that it is crucial for computer science programs not just to teach hard coding skills but also to build on young Black women's social capital to accommodate the young women in creating and expanding their tech social capital, enabling them to successfully navigate STEM and technology education and career pathways. Specifically, this article explores a subprogram of Code Next and how it has contributed to young Black women's persistence in STEM, and particularly in technology. The findings suggest that the young women employed an expanded sense of social capital in addition to an expanded cultural capital (i.e., language, skills, ways of being) and worldview (i.e., sense of belonging and self-efficacy) to make sense of their possible selves in the world of technology.</jats:p>

<jats:p>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 barriers Black women face in computing. However, it is difficult to quantitatively evaluate the efficacy of interventions designed to retain Black women in computing, since samples of computing students typically contain too few Black women for robust statistical analysis. Using about a decade of student survey responses from an National Science Foundation–funded Broadening Participation in Computing alliance, we use regression analyses to quantitatively examine the connection between different types of interventions and Black women’s intentions to persist in computing and how this compares to other students (specifically, Black men, white women, and white men). This comparison allows us to quantitatively explore how Black women’s needs are both distinct from—and similar to—other students. We find that career awareness and faculty mentorship are the two interventions that have a statistically significant, positive correlation with Black women’s computing persistence intentions. No evidence was found that increasing confidence or developing skills/knowledge was correlated with Black women’s computing persistence intentions, which we posit is because Black women must be highly committed and confident to pursue computing in college. Last, our results suggest that many efforts to increase the number of women in computing are focused on meeting the needs of white women. While further analyses are needed to fully understand the impact of complex intersectional identities in computing, this large-scale quantitative analysis contributes to our understanding of the nuances of Black women’s needs in computing.</jats:p>

<jats:p>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 women to sign up to teach in such programs, or how representation in mentoring affects future CS learning for Black girls. Here we report the intersectional experiences of 11 Black women who served as instructors and mentors for the virtual INTech Summer Camp. The women in this study confirm that it is imperative to consider the intersectional experiences of Black women in CS as a whole, without explicating their identities. We found that Black women in CS feel that it is their responsibility to give back to Black girls to pay it forward from their own mentorship experiences. The Black women in our study describe seeking to fill a gap in mentorship that they experienced themselves, to share their knowledge and experiences to support the development of others who can relate to that intersection of identifying as Black and a girl or woman. Providing positive representation to encourage young Black girls to pursue tech careers is imperative to diversifying the tech workforce.</jats:p>

<jats:p>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 computer programming. This study adopts a multi-modal approach to understand the changes in students’ perception of emotions before and after working on programming problems. Understanding these changes in students’ perceptions may enable educators to devise interventions that help students adjust their perceptions and regulate their emotions as per their skills. We conducted a one-on-one programming session and retrospective think-aloud interview with 17 students from an introductory programming course. During the programming session, students filled surveys and performed four programming tasks. While working on these tasks, students’ eye gaze, video of face and screen, and electrodermal activity data were also collected using a non-invasive device. The data collection for this study was multi-modal, with a mix of both qualitative and quantitative data collection methods. Data analysis was primarily qualitative, with additional triangulation of qualitative and biometric data for select exemplars. The findings of this study suggest that students experience changes in emotions because of many reasons, for instance, they encountered repeated errors, they set high standards for their performance, or they could not manage time. For some students, negative emotions changed to positive emotions when they solved errors without any external help or achieved more than what they expected going into the task. Moreover, the triangulation of qualitative and biometric data of two participants provides a fine-grained analysis of their emotions and behaviors and confirmed the change in the perception of their emotions while performing the programming tasks.</jats:p>