ACM Transactions on Computing Education最新文献

Norms and values in computing education are constantly changing as dominant narratives about the role of computing in society evolve over time. Within the current evolving landscape of computing education, researchers and practitioners have advocated for ensuring people from all backgrounds, and particularly women, non-binary, and Black, Indigenous, and Latinx people, are able to participate equitably within the field of computing. Yet, the values of computing educational experiences are narrowly framed within career outcomes, such as securing a career in computing, leaving many important experiences and ways of participating in the field out of the picture. To address this, we conducted reflective interviews with women who participated in broadening participation in computing (BPC) programs to understand their perceptions of computing and how it aligns (or not) with what they value about their experiences in computing learning environments. We investigate the following research questions: (1) How do women who participated in BPC programs describe their perceptions of computing? (2) How do those perceptions align or misalign with the program outcomes they valued? The findings from our study call attention to tensions arising from centering “computing careers” in BPC work and highlight the outcomes of participation valued by the women in our study, such as developing communities and relationships, gaining communication skills, and expanding perspectives on skills computer scientists should possess.

In a nationwide initiative to increase computer science Education in K-12, many teachers were recruited to CS teaching positions but without adequate preparation, which can lead to lack of confidence and feelings of isolation [35, 54]. In response to these issues, the purpose of this study was to determine the effectiveness of a newly developed summer professional development program with follow-up support with the goal of improving teacher confidence and informing teacher beliefs about computer science. This training featured peer instruction and an emphasis on computer science principles. It took place over three years, and was used to prepare teachers from over 50 schools across a midwestern state. Using Hierarchical Linear Modeling, data analysis from 57 teachers and 871 students showed that teacher confidence and content knowledge increased significantly, and to a greater extent for those who began with the lowest levels of confidence. Students also made significant knowledge gains from before to after taking the class. Student gains were higher for those whose teachers were more confident in their ability to teach computer science.

Instrument development is an important step towards unlocking the analytical power of teacher attitudes and beliefs towards Computer Science (CS). Teacher dispositions have strong empirical and theoretical ties to teacher motivation, professional choices, and classroom practices. To determine consensus desirable attitudes and beliefs, we analyzed 17 key documents produced by 12 national and international organizations associated with CS and the CS education reform movement. An analysis of 98 relevant coded segments yielded four dispositional targets: an equity orientation, a teacher growth mindset, and key beliefs regarding (career) outcomes and epistemology of CS. Statements crafted for these targets as well as self-efficacy were reviewed through an expert panel (N = 5) and a pilot study (N = 22) before the T-ABC was administered to elementary teachers in a large grant-funded outreach project (N = 772). Psychometric analysis demonstrates high reliability (Cronbach’s alpha = 0.89) and satisfactory extraction and loading onto a three factor model, with CS beliefs, growth mindset, and self-efficacy as major factors. 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.

In the age of computing, there still exist many schools that do not offer computer science courses. The reason can be esoteric to designers of interventions, curricula, and policies. This study aims to answer the research question: What do school officials perceive as barriers to and supports for offering computer science courses at their school? This article provides a case study of four public high schools in the state of Georgia to better understand the barriers to adopting computer science. Interviews conducted with school principals, counselors, and teachers were thematically analyzed to study each case. The pattern that emerged from these themes is framed by structuration theory, wherein the structures (school policies, resources, and courses) influence the agents (teachers, students, the community), and in turn, the agents influence the structures. This framing provides insights into what attributes can be supports for or barriers against schools offering computer science courses.

There is increasing interest in computer science and computing bachelor programs due to the growing importance of technology in the globalized world. Thus, as higher education institutions strive to serve a diverse student demographic, it is salient to gauge their programming abilities to improve guidance on learning processes regarding their initial knowledge state. Despite the availability of certain instruments to measure student programming skills, these are traditionally aimed at younger populations and do not accurately discriminate the different levels of ability among university students. This article introduces a translation into Spanish and validation of an existing English-language aptitude test for computing jobs that can be used to measure the programming abilities of students with no prior experience in the field. Following a cyclic research methodology, two iterations were carried out in this article. First, the aforementioned test was translated and validated via expert judgment and focus groups, in which certain items were removed subsequent to a quantitative analysis. The resultant instrument underwent a second validation using a larger population of students. Analysis conducted after the second iteration showed this instrument to deliver good internal consistency, good difficulty and discrimination indices, and a moderate correlation with the grades of the midterm exam of a programming course undertaken by first year engineering students. This work contributes to both increasing the number of tests available in the Spanish language with which to assess programming abilities, as well as to the broader literature regarding test adaptation, translation and validation.