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AbstractThis study analyzed the longitudinal data of Indiana high school students’ Computer Science (CS) enrollments from 2014 to 2020. The result showed while Indiana CS enrollments have increased in recent years, gaps in participation by minoritized student populations have still been observed. The CS enrollment rates in terms of different student populations including gender, ethnicities, locales, and economic status have been increasing, and the disparities according to these demographic profiles have been somewhat alleviated. However, the degrees of inequity varied by classification. Female underrepresentation was found to be largest followed by rural and town residents, then economically disadvantaged, and then ethnic minorities in CS education (Black, Hispanic, and Multiracial). These findings indicate where our future efforts should be concentrated. [ABSTRACT FROM AUTHOR]

While research has shown that students' epistemic beliefs can be a strong predictor of their academic performance, cognitive abilities, or self-efficacy, studies of this topic in computer education are rare. The purpose of this study was twofold. First, it aimed to validate a newly developed questionnaire for measuring students' epistemic beliefs about computer programming at middle school level. Second, the study aimed to understand how students' epistemic beliefs predict their computational thinking disposition and computer programming self-efficacy. A total of 406 middle school students completed a survey consisting of three research instruments: the Computer Programming Epistemic Belief Inventory (CPEBI), the Computational Thinking Scale (CTS), and the Computer Programming Self-Efficacy Scale (CPSES). The results indicated that the epistemic belief of "uncertainty" was a significant and positive predictor of the "abstraction" and "generalization" dimensions of computational thinking dispositions. In addition, the belief of "complexity" was an antecedent to three dimensions of computational thinking, namely, "algorithmic thinking," "evaluation," and "generalization." Only the "evaluation" dimension of CT disposition had significant and positive relationships with "programming self-efficacy." The roles of "uncertainty" and "complexity" of computer programming epistemic beliefs are discussed. Implications and suggestions for future computer programming education, especially for young students, are provided. [ABSTRACT FROM AUTHOR]

Providing greater access to computer science (CS) education for K-12 students in the United States (U.S.) has increased interest in integrating CS concepts within authentic science, technology, engineering, and mathematics (STEM) contexts. Physical computing is one method that has demonstrated promising results in other countries (e.g. England) and has been receiving growing attention in the U.S., yet there remains limited research on physical computing within the U.S. Therefore, this study utilized a modified version of the Computing Attitude Questionnaire (Yadav, A., Mayfield, C., Zhou, N., Hambrusch, S., & Korb, J. T. (2014). Computational thinking in elementary and secondary teacher education. ACM Transactions on Computing Education, 14(1), 1–16) to examine changes in 71 middle school students' attitudes toward computing after participating in a four-week physical computing unit. Students reported significant gains in all five computing attitude constructs (definition, comfort, interest, classroom applications, and career/future use). Further analyses revealed male students had significantly greater gains than females in the career/future use construct, and there were no significant differences when controlling for completion of prior engineering design coursework (PEDC). Additionally, while the majority (77%) of students indicated they preferred physical computing over screen-based experiences for future computing lessons, analyses found gender and PEDC were not significant predictors of students' preference for learning computing concepts. This study provides implications for improving computer science instruction within authentic STEM contexts. [ABSTRACT FROM AUTHOR]

AbstractComputer science (CS) teachers are still learning how to enact culturally-sustaining/revitalizing CS education for Indigenous students. In response, elementary teachers on the Wind River Reservation, a professional development provider, researchers, and the Wyoming Department of Education formed a researcher-practitioner collaborative to implement and study the implementation of culturally- sustaining/revitalizing CS lessons using design-based implementation research (DBIR) practices. Researchers collected data via interviews, reflection forms, and observations. Findings indicated that teachers used students’ funds of knowledge to support engagement and expanded lessons to reflect Indigenous priorities of language revitalization and Tribal sovereignty. Creating culturally-sustaining/revitalizing CS education was a collective activity, drawing on interdependence of teachers and students. [ABSTRACT FROM AUTHOR]

The goal of this qualitative research is to understand equitable teaching practices of computer science classrooms in the Chicago Public Schools through the video analysis specifically for the Latinx students. Data was collected through video recording from 10 different CPS classrooms. The videos were analyzed qualitative to determine the inquiry driven equitable practices. Though the equitable practices were identified based on the classroom video analysis, literature review on equitable practices and core ECS philosophy informed us to recognize and group the themes and their indicators of equity. This research plays a crucial role in terms of informing the current equitable teaching practices based on the videos in ECS classrooms in Chicago, also the research identifies a need to study further cultural references in terms of teaching computer science curriculum. This research has significance for designing professional development for marginalized population in computer science and possibly for other STEM areas. [ABSTRACT FROM AUTHOR]

Multiple research problems specific to advertising emerge from there, including whether and how the advertising industry should address the ethical and legal issues surrounding the possibility of AI-generated advertising content containing false or misleading information as well as strategies for designing and implementing AI-powered advertising in a socially responsible and ethical manner. In her editorial, the previous editor, Shelly Rodgers ([16]) proposed an AI classification schema to systematically understand and develop subdomains in the emerging AI advertising research field along the following three dimensions: AI type, AI function, and learning type. The lack of transparency and consumers' limited ability to understand AI technology and the mechanism and processes of AI-powered advertising would affect advertising outcomes. Since ChatGPT was released on November 30, 2022, followed by Microsoft's announcement of its artificial intelligence (AI)-powered new Bing search engine on February 7, 2023, and Google's Bard release on March 21, 2023, it seems AI generally has taken over conversations across all sectors of society. [Extracted from the article]

AbstractThis paper explores how minoritized Computer Science (CS) students articulate their sense of critical agency to positively impact the world around them, both for today and the future, when participating in a Girls Who Code program focused on ethics, equity, and underrepresentation in computing. Observations, interviews, and surveys were conducted across five sites in which students read a graphic novel (entitled Power On!) about inequities in technology and CS education and experienced activities about computing for social good. Students described their agency through “educator,” “advocate,” and “creator” roles with computing, and described key curricular and pedagogical factors supporting their critical agency in CS for All. Implications for CS curricula, professional development, and policy efforts geared toward increasing equitable access and engagement with CS are discussed. [ABSTRACT FROM AUTHOR]

Popular discourses of computing and computer science can often frame the sector and the people within it as highly intelligent yet socially challenged, contributing to stereotypes that can potentially exclude those perceived to lack these skills or characteristics. For young people, such stereotypes can influence their educational and career aspirations, especially if there are discrepancies between their own identity and perceptions of what is desirable for computer science students. Drawing on open-ended questionnaire data from 3235 young people in England (aged 11–16), we collected 9442 keywords that students used to describe their “ideal student” in computer science education. An understanding of these perceptions allows us to recognise the prevailing stereotypes that may be shaping young people’s views and aspirations. In this paper, we employ an innovative large-scale descriptive analysis of the most common words that students use to describe the ideal computer science student, including its differences, if any, by students’ demographic background (e.g. gender, ethnicity, free school meal) and responses to the questionnaire (e.g. aspirations to be a computer scientist). We tentatively identified eight clusters of popular ideal student characteristics, namely being Smart & Clever; Knowledgeable & Interested; Determined & Hardworking; Kind & Helpful; Creative; Independent; Confident; and Collaborative. By examining how students imagine the ideal student in computer science, we gain better understanding of their educational aspirations and choice of study and provide educators with valuable insights to potentially challenge and reshape these perceptions. These insights can inform educational interventions to foster a more inclusive computing education. [ABSTRACT FROM AUTHOR]

The aim of this explanatory study is to identify the causes of intrinsic cognitive load in programming process. For this purpose, a method based on two dimensions; programming knowledge types (syntactic, semantic, and strategic) and programming constructs was proposed. The proposed method was tested with high school students enrolled in Computer Science course dealing with Python programming language. The results suggested that the difficulties determined by the proposed method were considerably useful to estimate the cognitive load experienced by the students. The results also confirmed that when the errors and the difficulties encountered in the programming process increased, the element interactivity in programming tasks increased in terms of syntactic, semantic and strategic knowledge as well. We hope that this study will contribute to the efforts for decreasing the cognitive load to facilitate programming learning process. [ABSTRACT FROM AUTHOR]

This article presents the usage of Integrated Course Design (ICD) in the design and evaluation of applying agile methodologies within an undergraduate module of study to foster the development of computer science students employability skills. Undergraduate programs of computer science typically follow traditional educational methods which can lead to students unable to connect knowledge learned in class to actual situations and students are often assessed individually, whereas collaborative group projects are more akin to industry practice. The teaching experience reported gives students the opportunity to relate concepts learnt in class to a practical group-based project. Students must meet the requirements of a 'client' who will provide feedback and additional challenges for students while following the Agile framework SCRUM. Positive student feedback and module grades 7.70% higher than the department average over a four year period indicates the teaching structure and assessment presented is an effective method to foster the development of technical and soft skills of undergraduate computer science students. [ABSTRACT FROM AUTHOR]

Despite the elevated importance of Data Science in Statistics, there exists limited research investigating how students learn the computing concepts and skills necessary for carrying out data science tasks. Computer Science educators have investigated how students debug their own code and how students reason through foreign code. While these studies illuminate different aspects of students' programming behavior or conceptual understanding, a method has yet to be employed that can shed light on students' learning processes. This type of inquiry necessitates qualitative methods, which allow for a holistic description of the skills a student uses throughout the computing code they produce, the organization of these descriptions into themes, and a comparison of the emergent themes across students or across time. In this article we share how to conceptualize and carry out the qualitative coding process with students' computing code. Drawing on the Block Model to frame our analysis, we explore two types of research questions which could be posed about students' learning. for this article are available online. [ABSTRACT FROM AUTHOR]

Recently, researchers have proposed to leverage technology-supported data (log files) to investigate temporal and sequential patterns of interaction behaviors in learning processes. There are two major challenges to be addressed: clarifying the positioning of interaction levels and identifying the evolution of the interaction action patterns in learning processes, particularly for students with differing achievements. This paper explores the use of sequential pattern mining to address the evolution of student action patterns in Massive Private Online Courses (MPOCs) and compare these patterns between different achievement groups. The study was conducted with first-year undergraduate computer science students enrolled in a computer application course at a traditional open university in one of the Chinese provinces (N = 1375). The results showed the development of various action patterns in each phase of the course and the distinct action patterns for high-achieving and low-achieving students. The findings of study provide a new perspective for instructors and students to understand interaction patterns at the fine-grained level, and can help instructional designers develop learner-cantered courses and platforms to improve online learning. [ABSTRACT FROM AUTHOR]

This study aims to identify effective teaching strategies and challenges in computer science (CS) teaching and K-12 CS teachers' needs for professional development (PD). The data were collected through semi-structured interviews with five K-12 CS teachers and eight CS instructors in higher education and analyzed using thematic analysis. The findings indicated that (1) connecting the classroom to the real world, project-based assessment, and teamwork are effective teaching strategies; (2) teaching challenges include CS teachers' knowledge gaps, students' technology access and use, and elective courses; and (3) teachers' PD opportunities and needs include content and pedagogical knowledge and an ongoing learning community. The findings offer implications for K-12 CS education and teachers' PD. [ABSTRACT FROM AUTHOR]

We present a detailed description of a Cryptography and Computer Security course that has been offered at Knox College for the last 15 years. While the course is roughly divided into two sections, Cryptology and Computer Security, our emphasis here is on the Cryptology section. The course puts the cryptologic material into its historical context and also includes reference to ciphers used and discussed in literature. Through lectures and assignments on cryptanalysis, the course motivates students to learn a variety of topics in advanced discrete mathematics, including discrete probability, elementary statistics, number theory, and abstract algebra. The students have found this approach motivating and we believe our experiences are relevant to instructors teaching this material in a variety of different courses and institutions. [ABSTRACT FROM AUTHOR]

Learning analytics methods have proven useful in providing insights from the increasingly available digital data about students in a variety of learning environments, including serious games. However, such methods have not been applied to the specific context of educational escape rooms and therefore little is known about students' behavior while playing. The present work aims to fill the gap in the existing literature by showcasing the power of learning analytics methods to reveal and represent students' behavior when participating in a computer-supported educational escape room. Specifically, we make use of sequence mining methods to analyze the temporal and sequential aspects of the activities carried out by students during these novel educational games. We further use clustering to identify different player profiles according to the sequential unfolding of students' actions and analyze how these profiles relate to knowledge acquisition. Our results show that students' behavior differed significantly in their use of hints in the escape room and resulted in differences in their knowledge acquisition levels. [ABSTRACT FROM AUTHOR]

There is a call for more students to continue into computer science (CS), but as many leave their studies before completing, there is a potential in retaining students rather than focusing on recruitment alone. The retention literature proposes 'sense of belonging' as a key concept. This paper contributes with nuancing how sense of belonging is shaped differently within different spaces at the same CS study-programme, by drawing on narrative interviews and ethnographic fieldwork with BA-students, analysed through a spatial analytic lens. By applying the metaphors of a solar system and force fields, we investigate how sense of belonging was constructed within relational spaces and students' identity-negotiations within them. Three spaces are found: The study-lounge (the epicenter of the solar system), the pulsating planet, and the distant isolated planet. Conclusions show how the epicenter are enforced by teaching and learning activities, and how broadening what counts hold potential to retain students. [ABSTRACT FROM AUTHOR]

Learning computer programming can be challenging for primary school students due to its abstract concepts. While teachers seek effective ways to introduce such concepts, the application of learning objects (LOs) can potentially reduce the effort of creating new material from and allows teachers to adapt LOs to students' needs. Although numerous LOs have been developed for multiple disciplines, there is a current research gap using LOs in teaching and learning computer programming at the primary school level. The current paper aims to explore the quality of five Scratch-based LOs created to facilitate teaching and learning programming in primary education. We followed a single instrumental case study collecting data from 25 in-service teachers and 91 primary school students, who, using the LORI instrument, evaluated Scratch-based LOs created in real learning contexts. The results showed that participants assessed the LOs' quality positively, highlighted their learning effectiveness, pleasant design, and increase in student motivation. While the findings cannot be generalized, the LOs can serve as support material both for teachers to introduce programming, and for students to comprehend key programming concepts. Future work concerns the exploration of the LOs affordability when applied in real situations. [ABSTRACT FROM AUTHOR]

This paper describes a study for teaching number system in a computer arithmetic course and addresses the existing gap in the current course by focusing on the characteristics of applications. A redundant residue number system (RRNS) is an efficient and innovative number system that inherits the interesting properties of both residue number system (RNS) and redundant number systems. It breaks the operands into residues by considering a moduli-set and then signifies the residues by a redundant representation. So, by limiting the carry propagation chain inside and outside the moduli, RRNS proposes more efficient arithmetic units which could be employed in digital signal processing (DSP) applications. Despite the applicability of RRNS, there is not well-organized teaching on RRNS covering the recent achievements. Besides, there is an important question for students and researchers what is the most appropriate number representation for each application category? In this paper, we present a step-by-step education process for RRNS that includes basic concepts of RNS and the redundant number system. Then we address characteristics of different applications that RRNS is suitable to be employed for them. So, the method gives a well-organized proceeding to computer arithmetic designers and students. [ABSTRACT FROM AUTHOR]

This work seeks to analyze the scientific evidence of the last five years and investigate the behavioral trends of virtual platforms and simulations for learning and skills development. By conducting a systematic literature review, utilizing the SciVal tool, and assessing statistical findings, we aim to establish a framework for the current status of the subject and identify the primary trends and applications of the strategies employed. Among the most relevant findings were the increase in registered users worldwide in 2021 due to the pandemic and the growth of courses available on virtual platforms such as Coursera and edEx. The most significant themes, both in indexed scholarly publications and in recent citations, were in computer science and education, showing how applications of educational technology have broken the paradigm of traditional education. Statistical studies also provide information regarding projections for new users in the next five years, owing to the popularity and effectiveness of these tools. This article summarizes the most significant information from sources such as Scopus, Web of Science, SciVal, and Statistical Sources. It presents a clear overview of the experimentation and use of virtual platforms and simulations for learning and competency development in higher education, highlighting key concepts and providing guidelines for future applications. [ABSTRACT FROM AUTHOR]

This study determined the efficacy of the video-clip lecture strategy in enhancing computer science (CS) students' performance in a computer networking course at universities in Gombe state, Nigeria. The study adopted a quasi-experimental design with non-equivalent groups of intact classes. Study participants were 136 CS third-year students made up of 87 males and 49 females selected from the two public universities in the state offering computer science education. The Computer Networking Achievement Test (CNAT) was the instrument used for data collection with a reliability index of.79 established using K-R 20. The scores obtained from the pre-test and post-test were analysed using mean and Analysis of Covariance for the hypotheses at 0.05 level of significance. The study's findings indicated a higher mean performance among the treatment group compared to the control group. Findings demonstrate the efficacy of innovative pedagogy towards enhancing learner engagement in CS courses, thus assisting students to become active learners. [ABSTRACT FROM AUTHOR]

This study identified appropriate pedagogy for computational thinking in K–12 computer education. The Delphi technique was employed to collect different views, ideas and opinions derived a consensus from a panel of 12 international experts through a series of questionnaires. The experts have various experiences in computer science, computer education and computational thinking. After three rounds of survey, the expert panel identified a total of 13 appropriate teaching/learning strategies to develop computational thinking skills in K–12 computer education distributed among the nine skills of computational thinking: eight strategies derived from the 12 teaching and learning strategies in the first draft of the Delphi survey questionnaire and five strategies suggested and agreed by the panel. This study demonstrated the importance of finding an appropriate pedagogy for computational thinking with a focus on K–12 computer education. [ABSTRACT FROM AUTHOR]

Based on a current Research to Practice Partnership (RPP) between a southeastern public university and a state virtual public school in the United States, ten high school teachers from a virtual school who teach Computer Science (CS) online participated in a summer workshop to collaborate through a participatory action research project regarding design, facilitation, and evaluation strategies to be included in effective professional development. The questions were posed through an online collaborative Jamboard during the summer workshop. The teacher posts were qualitatively analyzed to identify common themes. Recommendations for professional development on design included CS content, how to teach CS, and CS tools and activities. For facilitation, they recommended resources for supplemental instruction and feedback tools for providing feedback in various modalities and a tool repository. For assessment, they recommended content knowledge assessments, including lab assignments, single and pair programming, and coding assessments. Overall recommendations for a professional development course to teach CS online were also offered. [ABSTRACT FROM AUTHOR]

The author describes an assignment in an undergraduate game theory course in which students work together in class to develop a computer algorithm to identify Nash equilibria. This assignment builds basic computer science skills while applying game theory knowledge to real-world situations. Students work as a team to delineate the steps and write a program to identify all of the pure-strategy Nash equilibria of the game. They then test this program by creating and solving their own game. This assignment represents an efficient way for undergraduate economics students to gain valuable computer science skills without assuming any pre-existing computer science knowledge, without having to take classes outside of the economics major, and without economics faculty having to restructure entire courses or curricula. [ABSTRACT FROM AUTHOR]

Given the rapid rise of open educational resources (OER) for informal learning pursuits impacting countless millions of people each day around the world, this study investigated the impact of the initiative that spearheaded this movement; namely, Massachusetts Institute of Technology (MIT) open courseware (OCW). More specifically, it explored self-directed learners' perceptions of the impact of the MIT OCW, their social presences and cognitive presences while learning through MIT OCW online instructional videos. The data source of this study was learner comments regarding 23 instructional videos found in YouTube. Thematic analysis and computer-mediated discourse analysis (CMDA) were used for data analysis. The results indicated that the impact of the MIT OCW served as the first step for career development and important educational decisions of myriad learners that served to benefit MIT programmes with future applicants. In addition, YouTube comments of the self-directed learners reflected a relatively lower social presence and higher cognitive presence compared to general social media. Meanwhile, self-directed learners encountered challenges such as technology issues, non-engaging teaching methods, and social learning needs. Perhaps the future OER and OCW development will, in fact, be designed for a more interactive and engaging experience for the self-directed learners of this world. [ABSTRACT FROM AUTHOR]

Fiber crafts occupy a vital position in technology innovation and present a promising space for computer science education, which continues to face lopsided participation. It remains unclear whether and how fiber crafts can become a context for computational learning and what role different materials play with the risk to miss computational approaches that could broaden computational cultures. Fusing constructionist and posthuman perspectives, this study analyzed how middle school students performed computational concepts while weaving and manipulating fabric and how the craft materials drove what could be learned computationally in these contexts. Present the fiber crafts as a context for performing computational concepts (i.e., variables, conditionals, functions) and that the materials play a role in what can be learned computationally. While weaving drove computing as the performance of automation, fabric manipulation required speculative and physical three-dimensional modeling as computational. The paper presents fiber crafts as a promising context for computational learning and theorizes the ongoing material as material syntonicity, contributing a material direction to fostering more inclusive and sustainable computing cultures. [ABSTRACT FROM AUTHOR]

Degree apprenticeships in the UK represent a shift in approach to degree-level study. As the model matures, it is important to hear perspectives of apprentices. Using Q methodology, the study aims to identify the different apprentices' viewpoints of the apprenticeship, exploring aspects of belonging, support, challenges and views of the learning experience. Thirty-five second-year computing apprentices at a UK university participated in the study. Centroid factor analysis revealed three perspectives: aligned student-workers, busy professionals, and the cast adrift. Aligned student-workers were balancing work and study effectively, finding value in both. Busy professionals were already consolidated as professionals, using this degree apprenticeship to upskill. Finally, the cast adrift, reported a lack of support in the workplace that was affecting their view on the apprenticeship. This exploratory study, resulting in a new research instrument and approach, contributes apprentices' perspectives to research and practice, as apprenticeship models expand in the UK and beyond. [ABSTRACT FROM AUTHOR]

This mixed methods case study presents the experience of a group of middle school students in a year-long, after-school computing programme in a large, inner-city school district in the southeastern United States. The purpose of this research is to explore informal educational strategies that are conducive at giving underrepresented minority youth access to information and communication technology tools and content. Results indicate that hands-on support from mentors, peer collaboration, and options for customising work and creating unique projects contributed positively to the student experience in the programme. This study suggests giving students more creative freedom, adequate scaffolding and the option for peer collaboration when working in informal learning environments. Results are specific to the context of the one school in which this pilot study was conducted, though the findings confirm the research of others in this area. Data sources included a perceptions survey, participant interviews and researcher observations. [ABSTRACT FROM AUTHOR]

Background: As teachers work to broaden the participation of racially and ethnically underrepresented groups in computer science (CS), culturally responsive computing (CRC) becomes more pertinent to formal settings. Objective: Yet, equity-oriented literature offers limited guidance for developing deep forms of CRC in the classroom. In response, we support the claim that "it takes a village" to develop equity-oriented CS education but additively highlight the roles of cultural experts in the process. Methods: We use a case study methodology to explore one instance of this: a collaboration between a multi-racial team of researchers, a Black cosmetologist, and a White technology teacher. Findings: Three themes supported the CRC collaboration: multi-directional relationship building, iterative engagement with culture-computing, and collaborative implementation of a hybrid lesson. Implications: As opposed to orienting broadening participation around extractive metaphors like "pipelines," our case study constructs the metaphor of an "open village" to orient CS education toward collaborations between schools and the communities they serve. [ABSTRACT FROM AUTHOR]

The paper proposes a novel index to classify how well UK Computer Science courses articulate cybersecurity-related content through their course/module pages. The aim of this work is to raise awareness among British Universities to pay more attention to include and standardize cybersecurity content in computer science courses. Our results show that 80% of analyzed courses scored 1 or 2-stars on a 5-Stars scale. The results also suggest the need for a formal delivery of cybersecurity content from the first year of the courses and possibly in a collaborative manner with the British Computer Society (BCS). To emphasize cybersecurity education in mitigating security lapses, the analogy is: it is better if most people know how to use a match than to train many fire-fighters. [ABSTRACT FROM AUTHOR]

Recent scholarship in computer science (CS) education shifts from a focus on the technical-cognitive skills of computational thinking to the socio-cultural goal of computational participation, often illustrated as remixing popular media (e.g. music, photos, etc.) in online communities. These activities do enhance the participatory dimensions of CS, but whether they also support broadening the participation of underrepresented youth remains unclear. While online communities that are dedicated to computational participation have existed in the U.S. for over a decade, many communities of color remain underrepresented in CS disciplines. How might CS educators, researchers, and technologists promote culturally responsive forms of computational participation? To answer this question, we propose a culturally responsive framework for computational participation called generative computing. Generative computing approaches CS as a means for strengthening relationships between learning environments and local communities, leveraging culturally relevant sources of wealth generation in technology design and implementation. To explore this concept, we conducted a mixed-methods study with a cosmetology high school program that predominantly serves young African-American women. Through a series of computationally and culturally rich cosmetology projects, we tested our hypothesis that generative computing can enhance connections between Black heritage, CS, and cosmetology while supporting students' academic interests and knowledge. [ABSTRACT FROM AUTHOR]

Considerable numbers of Computer science (CS) undergraduate majors struggle in Theory of Computation (ToC) courses, which strengthen bimodality beliefs of student performance. Reasons for students struggling are assumed to be manifold but substantial ground is based on studies providing singular insights into this matter. To understand students' issues with ToC, we analysed their performance on homework and exams and replicated our study in two consecutive years. We used exploratory data analysis to compare students' performances within single assignments. With one-way analyses of variances, we focused on significant differences between the years. Our results indicate that students' homework performance did not predict their exam performance and that all students, independent of their grade, had the most difficulty with formal proofs. Our results challenge potential beliefs about bimodal student performance indicating all CS undergraduates require thorough training in proof techniques to improve their overall performance in ToC. [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]

Educators make consequential curricular decisions, often with little support, particularly as it relates to equity and how to support all students. This paper investigates the use of a rubric to support educators evaluating computer science curricula, especially with regards to equity. Seventeen in-service elementary teachers evaluated a computer science curriculum with and without the Teacher Accessibility, Equity, and Content (TEC) Rubric. We examine teachers' responses to prompts and completed TEC Rubrics to understand if and how the rubric supported their evaluations. The TEC Rubric helped teachers attend not only to curricular factors related to instructional design but also to issues of equity and accessibility and to identify opportunities to draw on the cultural resources of students and their communities. We contribute evidence supporting curricular evaluation instruments, specifically the TEC Rubric, and their use to direct teachers' attention to attributes of equitable computing instruction. [ABSTRACT FROM AUTHOR]

Low-level approach is a recent way for source code plagiarism detection. Instead of relying on source code tokens, it relies on low-level structural representation resulted from compiling given source codes. However, to date, existing low-level approaches are unsuitable for handling large-sized source codes; their comparison takes either quadratic or cubic time complexity. This paper presents a low-level approach with a more-efficient comparison; the comparison only takes linear time complexity with the help of Cosine Correlation in Vector Space Model. According to our evaluation, three findings can be deducted. First, proposed approach can be more efficient and effective than the state-of-the-art approach. Second, low-level structural representation can be more effective and efficient than source code token sequence as a medium for source code plagiarism detection. Third, subsequence length (which is related to n in n-gram) can be inversely proportional to effectiveness without significant impact on efficiency. [ABSTRACT FROM AUTHOR]

Background and Context: While assessment of computational thinking concepts, practices, and perspectives is at the forefront of K-12 CS education, supporting student communication about computation has received relatively little attention. Objective: To examine the usability of process-based portfolios for capturing students' communication about their computational practices regarding the process of making electronic textile projects. Method: We examined the portfolios of 248 high school students in 15 introductory CS classrooms from largely underserved communities, using a formal rubric (top-down) to code computational communication and an open-coding scheme (bottom-up) to identify computational practices described. Findings: Students demonstrated stronger abilities to communicate about computation using text than visuals. They also reported under-assessed CT practices like debugging, iterating, and collaborating. Students of experienced e-textile teachers performed substantially better than those with novice e-textile teachers. Implications: Portfolios provide a viable addition to traditional performance or survey assessments and meet a need to promote communication skills. [ABSTRACT FROM AUTHOR]

Background & Context: We describe the rationale, design, and initial validation of computational thinking (CT) assessments to pair with curricular lessons that integrate fractions and CT. Objective: We used cognitive models of CT (learning trajectories; LTs) to design assessments and obtained evidence to support a validity argument Method: We used the LTs and evidence-centered design to develop assessments that 144 Grade 3 and Grade 4 elementary students completed following the integrated instruction. We analyzed data using multiple psychometric approaches. Findings: The design approach and data analysis suggest that the assessments are well-suited to evaluate students' CT knowledge, skills and abilities across multiple LTs. Implications: We show how to use LTs to design assessments that can yield valid inferences about students' CT competencies; these methods can be adopted and extended by others to create additional assessments that can advance computer science education. [ABSTRACT FROM AUTHOR]

Computer education was an integral part of curriculum development and a priority of the OECD's policy agenda at the turn of the 1970s. Based on an analysis of archival documents, programme overviews and publications, this article describes how the introduction of computers in the classroom was advocated by the OECD and, more specifically, how this fostered the creation of an arena for the production of knowledge. The article sheds light on the OECD as an arena for the pooling and channelling of ideas relating to the uses of school computers. It, therefore, not only fills a gap in the history of educational technology, but also demonstrates how knowledge was catalysed and disseminated by this international governmental organisation. Furthermore, the study analyses an attempt to intervene in national policy-making that was withdrawn before it was implemented. [ABSTRACT FROM AUTHOR]

We recommend the conceptualization of computing as a critical literacy, and ground this conceptualization in considerations of historical and current realities in computing. The frameworks of connected learning and computational participation are recommended as guides for doing critical computing literacy. We present the findings from an interpretive case study of the SciGirls Code (SGC) program. This program was piloted with 16 after–school programs for middle school girls that engaged them in computer science (NSF #1543209). This research investigated girls' learning, attitudes, and participation involving 84 participants across 11 sites aged 10-14 and in 5th-8th grades. Through sharing a vignette from one site and highlighting findings from this study, we illustrate ways to do critical computing literacy and examine the potential of using connected learning and computational participation in designing more equitable computer science education offerings. [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]

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]

Students in geographic information systems and science (GIS) require significant experience outside of spatial analysis, cartography, and other traditional geographic topics. Computer science knowledge, skills, and practices exist as essential components of GIS practice, but coursework in this area is not universally offered in geography or GIS degrees. To support those interested in developing such courses, this paper describes the design and implementation of a server-focused course in WebGIS at Texas A&M University. We provide an in-depth discussion of the equipment and resources required to build and operate an on-premise CyberGIS server infrastructure suitable for supporting such classes, providing comparisons with an equivalent solution built on Amazon Web Services (AWS). We consider the comparative costs of these systems, including benefits and drawbacks of each. In comparing these deployment options, we outline the technical expertise, monetary investments, operational expenses, and organizational strategies necessary to run server-based CyberGIS courses. Finally, we reflect on assignments and feedback from students and consider their experiences in a course of this nature. This article provides a resource for GIS instructors, academic departments, or other academic units to consider during infrastructure investment, curriculum redesign, the addition of courses in degree plans, or for the development of CyberGIS components. [ABSTRACT FROM AUTHOR]

Business schools can meet the increasingly multidisciplinary requirements of training cybersecurity professionals. But in developing curriculums, they face different cybersecurity curricular frameworks with diverse emphases. Using a meta-framework consisting of a 2x3 model and a 2x2 model, this study examines ten cybersecurity curricular frameworks and 380 associated topics and areas. It finds that most curricular frameworks examined tend to have more technical topics and are less IS/business-related. Among them, CAE-CDE is the most technically-oriented curricular framework, while CISSP has more topics that are cybersecurity-related and nontechnical. The proposed meta-model can enable business schools to evaluate cybersecurity curricular frameworks based on their own priorities and resources. [ABSTRACT FROM AUTHOR]

The past five or so years have been marked by a proliferation of educational initiatives, programmes, and toys designed to introduce children to coding and to develop their skills and interest in computer science. This article takes a critical approach to this movement, focusing specifically on ways dominant discourse surrounding the coding movement constructs children, girls, and coding and puts pressure on parents to assist their children in becoming valuable to neoliberal economies. The first part of the article reviews research concerning children and coding, the STEM skills gap, and gender divides in computer science. This part concludes with a discussion of neoliberal ideologies which frame these areas of debate. The second part analyzes 71 news articles published in a six-month period in 2018 that report on coding initiatives and related toys, including Robotics Engineer Barbie™. This part of the article reveals ways these coding initiatives are framed as being essential to the future labour market, as solutions to gender parities in Computer Science fields, and as a way to create confident girls for the future workforce. The article concludes with connections to neoliberal ideologies which frame the role of parenting in the age of digital technologies. [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]

Background and Context: In this theory paper, we explore the concept of translanguaging from bilingual education, and its implications for teaching and learning programming and computing in especially computer science (CS) for all initiatives. Objective: We use translanguaging to examine how programming is and isn't like using human languages. We frame CS as computational literacies. We describe a pedagogical approach for teaching computational literacies. Method: We review theory from applied linguistics, literacy, and computational literacy. We provide a design narrative of our pedagogical approach by describing activities from bilingual middle school classrooms integrating Scratch into academic subjects. Findings: Translanguaging pedagogy can leverage learners' (bilingual and otherwise) full linguistic repertoires as they engage with computational literacies. Implications: Our data helps demonstrate how translanguaging can be mobilized to do CS, which has implications for increasing equitable participation in computer science. [ABSTRACT FROM AUTHOR]

Drawing on feminist post-structural perspectives, this article shows how the dominant discourses of underrepresentation and gender difference that characterize gender inequality in computer science (CS) create subject positions, which simultaneously mark women as highly invisible and visible. Narrative accounts from qualitative interviews and focus groups with women students of color enrolled in CS at a university located in the southwestern region of the US illustrate the situated ways in which participants materialized these discourses in their personal accounts of 'not seeing and seeing women in CS.' Participants accounts reveal how isolation, exclusion, and connection in CS are contextual, contingent, and intersectional experiences that cannot be collapsed into a single, monolithic meta-narrative. Participant accounts also demonstrate the complex ways that women students of color in CS pushed back on dominant discourses of underrepresentation and gender difference. [ABSTRACT FROM AUTHOR]

A key debate in computer science education is whether and how computational thinking (CT) is used within disciplines other than computer science. Broad definitions provide many avenues for developing integrated instruction, as practices within existing activities can simply be reframed in terms of CT. But such general use of the term CT may confuse its meaning and dilute its power as a tool for bringing CS to all. In this paper, we take the viewpoint that mathematical thinking and computational thinking share common practices, such as using repetition to accomplish tasks, but these shared ideas may develop differently in mathematics and computer science. We use document analysis to analyze the K-5 Common Core State Standards for Mathematics for the presence of these common practices and describe the specific ways they develop in mathematics. We compare these elements of mathematical thinking to related elements of CT to identify synergies and differences between CT and mathematical thinking. We argue that these synergies and differences have implications for the development of integrated instruction designed to bring CS to all. [ABSTRACT FROM AUTHOR]

This paper presents findings from a two-year qualitative study examining integration of computer science (CS) and computational thinking (CT) into elementary mathematics instruction. Integrated units were developed by elementary teachers and CS/CT coaches with support from university faculty with expertise in CS/CT and elementary mathematics. CS/CT instruction primarily relied on the Scratch environment, although some lessons made use of Code.org materials. This research primarily relied on two theories of integration (i.e. Kiray, 2012. A new model for the integration of science and mathematics: The balance model. Energy Education Science and Technology Part B: Social and Educational Studies, 4(3), 1181–1196) that provided insight into the level of interconnection between the disciplines and the relative amount of instructional time spent within each discipline. Findings revealed that cross-grade CS/CT concepts included sequencing, looping, and conditional logic. Within each category: (a) concepts were taught with increasing complexity across the grades, (b) the mathematics was dominant and CS/CT was important but secondary, and (c) three types of lessons emerged: No integration, partial integration, and full integration. Lastly, lessons generally included a transition from less integrated to more integrated activities with an initial focus on discipline-specific conceptual understanding prior to integrated activities. [ABSTRACT FROM AUTHOR]

As new efforts seek to expand computer science education across the globe, there has been a widespread effort to prepare school teachers for teaching computer science to culturally and racially diverse students. This effort to center diversity and equity is notable as computer science courses are typically homogenous in terms of race and gender, making the need to center diversity in teacher education spaces. This paper reports on an ethnographic study in the United States that describes how teachers dialogue around issues of race and computer science education in a residential week-long professional development workshop. Drawing from the dialogue of a geographically, racially, and culturally diverse group of teachers, this article describes how teachers evade, deflect, center, and reflect on racially explicit discourse around teaching computer science. Grounded in vignettes from two teacher classrooms, this research study considers how culturally responsive computing and critical race theory can illuminate the ways in which teachers discuss race and culture in computer science professional learning environments. The study's findings demonstrate features of long-term professional preparation that can surface colorblind ideologies and help teachers move toward a culturally responsive pedagogy to teaching computer science. Abbreviations: CS - computer science ; PD - professional development ; CRT - critical race theory [ABSTRACT FROM AUTHOR]

While academic, cultural, and racial identities have been important concepts in sociocultural theories of learning and development, less attention has been given to political identity. Research on political identities in education tends to be limited to critical pedagogy or civic education contexts, leaving unexamined the role of political identity in supposedly neutral settings, like a computer science (CS) classroom. In this study I offer a conceptual framework that draws on theories of political identity and sociocultural theories of learning to illuminate a process I call disciplinary values interpretation—a process by which students reflect on the values of a disciplinary domain, as well as who they are and might become in relation to the domain. I then operationalize the framework by analyzing the ways in which students' political identities interacted with their learning processes in a social design experiment conducted in collaboration with a high school teacher in a Computer Science and Technology academy of a large urban high school. Through case studies of two 10th grade students, Stacey and Lupe, I argue that the opportunity to design socially relevant technology provided new resources for disciplinary values interpretation, and had significant implications for how students came to view their own political identities and futures within the discipline of CS. This research has implications for ethical/political theories of learning and also contributes to enduring questions about identification and inequality in education. [ABSTRACT FROM AUTHOR]