Computer science as an interdisciplinary study

Introduction The computing sciences are complex fields that combine both theoretical and practical components. Students successfully completing an undergraduate computer science program should have instruction in both the mathematical and theoretical foundations of computing as well as the more practical aspects of how to effectively use computers to solve problems. Software engineering, as its name implies, is more directed toward the practical aspects of how to successfully develop complex systems that meet user requirements and are reliable, usable, and maintainable. Computing Curricula 2005 recognizes the need for more extensive education to produce professional engineers than what can be reasonably provided in a typical computer science program (ACM, 2005). As such, they propose engineering be treated as a totally separate discipline within computer science education. However, while there has been some debate about the exact role engineering should have in a computer science program (Curran, 2003), the ACM Curricula has maintained the importance of engineering to all computer science students and has kept it as a core element in computer science education (ACM, 2008). For purposes of this paper, we will focus on the teaching of engineering within the computer science discipline. Unlike other topics in the computer science major, the techniques and principles taught in engineering are often first developed and refined in industry before arriving in the classroom. As commercial development techniques and tools evolve, so pedagogical methodologies change. Computer science educators have taken different approaches to teaching engineering over the years, both as a result of changing methodologies as well as individual beliefs about what teaching methods work best in a particular academic environment. This paper is a case study in applying current productivity tools (specifically Redmine) in a engineering course at our institution. The objectives of the study are to investigate how to integrate the tools into the existing structure and evaluate their impact. We describe our experience in recently changing our approach to teaching engineering to be more aligned with current tools and how to effectively use them in an academic environment. The paper begins with an overview of engineering teaching methods, then describes our traditional approach and motivation for changing, how the new approach was integrated into the course, our experience with the change, and, finally, our plans for the future Software Engineering Education Background Software Engineering is defined as the application of a systematic, disciplined, quantifiable approach to the development, operation and maintenance of software (Petkovic, Thompson, & Todtenhoefer, 2006, p. 294). The need to teach engineering in colleges has been identified for decades. Stiller & LeBlanc (2002) point out as far back as the early 1990's, ACM Computing Curricula suggested that the at least one engineering course should be required in accredited computer science programs. They point out that the number of large projects in industry demand this and suggest that the proof of the success of these accredited computer science programs should be seen in the reduction of failure in the design and operation of large computer programs. Software engineering programs can be thought of as a replacement for the old apprenticeship programs which taught the trades to workman (Stroulia, Bauer, Craig, Reid, & Wilson, 2011). The issue, however, is how to bring this effect into the classroom. Many educators feel that current practices of teaching engineering are not adequately preparing students for the real world of development. Nurkkala & Brandle (2011) summarize the problems with current teaching approaches: * No product--students are creating projects, not commercial grade products * Short duration--single semester, or two-semester, courses impose an artificial time constraint * High turnover--new students each semester means the talent pool remains shallow and student skills are not developing based on previous experience * Low complexity--by necessity given time constraints and skill sets * No maintenance--as a result of short duration, students do not experience a key aspect of development, the maintenance phase * No customer--most engineering projects do not interface with a real customer To address these shortcomings, different approaches to teaching engineering have emerged and been proposed in the literature. …

This white paper argues that formal methods need to be better rooted in higher education curricula for computer science and software engineering programmes of study. To this end, it advocates improved teaching of formal methods; systematic highlighting of formal methods within existing, ‘classical’ computer science courses; and the inclusion of a compulsory formal methods course in computer science and software engineering curricula. These recommendations are based on the observations that formal methods are an essential and cost-effective means to increase software quality; however computer science and software engineering programmes typically fail to provide adequate training in formal methods; and thus there is a lack of computer science graduates who are qualified to apply formal methods in industry. This white paper is the result of a collective effort by authors and participants of the 1st International Workshop on Formal Methods – Fun for Everybody which was held in Bergen, Norway, 2–3 December 2019. As such, it represents insights based on learning and teaching computer science and software engineering (with or without formal methods) at various universities across Europe.

Computer science is a higher education domain that still show a significant male dominance. Many research studies have highlighted the importance of diversity and gender balance in computer science related areas such as software engineering and system development. However, there is still a well-identified problem that university programmes and courses on computer science fail to attract the female audience. The objective of this study is to investigate the concept of gender-inclusive computer science (CS) education with the aim of broadening participation in CS courses and programs. This is conducted through a literature study, initially focusing on keywords and research areas, and subsequently searching into existing research. The research question that guided the study was: "What concepts can be found in literature to make computer science education more gender-inclusive?". Data were analysed thematically in a two-step analysis process inspired by the grounded theory methods of Open coding and Axial coding. Findings suggest that there is significant room for learning in this field, particularly from Critical CS education studies. The Open coding analysis showed that the findings can be categorised into eight main themes. In the Axial coding the themes were merged, refined, renamed, and centred around the main axial theme of 'Epistemological pluralism'. Other essential themes that all are related to the axial main theme were: 'Design and creativity', 'Bias awareness and ethics', 'Collaboration and communication', 'Self-regulated learning', 'Real-world applications', and 'Role models and mentorship'. The result of this study is presented through a visual model that illustrates essential aspects of inclusive computer science education. The paper also proposes various directions for future research.

This panel will discuss the various programs of the National Science Foundation dealing with Computer Science Education and Research. These include programs on basic research in computer science, research in computer science education and various programs designed to increase the quality of science education, especially where computers can plan a significant role in the educational process.

Background Despite ongoing calls for prioritizing K-12 computer science (CS) education, an enduring gender gap exists. Objective We explored one high school CS program where female participation was consistently higher than state averages to better understand how the program was developed. Method Using a case study method, data were collected over three-months through interviews, observations, course documents, student reflections, and researcher reflections. Constant comparative analysis was employed to analyze data throughout and following data generation. Findings Recruitment and teacher support were key practices. Recruitment practices included letter writing campaigns and recruiting from introductory CS courses. Teacher support came from counselors, administrators, and other teachers. While the CS program was consistently more gender-inclusive, the focus when building the program had been on supporting all students, not only female students. Implications Recruitment should be active and purposeful, but using academic indicators for targeted recruitment campaigns can limit student exposure. Teachers need support for broadening participation, particularly from counselors and administrators, who must also be aware of what CS is and their role in these efforts. Opportunities for coteaching within CS programs can be beneficial for growth. Overall, broadening participation must be a holistic effort, supported by school-wide stakeholders, not only CS teachers.

Aim/Purpose: The purpose of this study is to identify how Advanced level Mathematics and Mathematics course units offered at university level do impact on the academic performance of theoretical Computer Science course units. Background: In Sri Lankan state universities, students have been enrolled only from the Physical Science stream to do a degree program in Computer Science. In addition to that, universities have been offering some course units in Mathematics to provide the required mathematical maturity to Computer Science undergraduates. Despite of this it is observed that the failure rates in fundamental theoretical Computer Science course units are much higher than other course units offered in the general degree program every year. Methodology : Academic records comprised of all 459 undergraduates from three consecutive batches admitted to the degree program in Computer Science from a university were considered for this study. Contribution: This study helps academics in identifying suitable curricula for Mathematics course units to improve students’ performance in theoretical Computer Science courses. Findings: Advanced level Mathematics does not have any significant effect on the academic performance of theoretical Computer Science course units. Even though all Mathematics course units offered were significantly correlated with academic performance of every theoretical Computer Science course unit, only the Discrete Mathematics course unit highly impacted on the academic performance of all three theoretical Computer Science course units. Further this study indicates that the academic performance of female undergraduates is better than males in all theoretical Computer Science and Mathematics course units. Future Research: Identifying other critical success factors contributing to the students’ academic performance of the theoretical Computer Science through empirical studies

A Subcommittee on Small College Programs, was appointed by the Committee on Curriculum in Computer Science, of the Association for Computing Machinery in 1969. This group was charged with responsibility of making recommendations for the development of programs in computer science in smaller colleges and universities.The report will consider course structure, to be offered with the constraints of limited faculty, and with a wide variety of objectives. Outlines of the key courses will be included, as well as recommendations for independent study courses.Another significant factor involved in these considerations, is the relationship of computer science to the computer center, and to the college as a whole. In particular, the service nature of the department and the center, and the development of meaningful computer use within the schools will be considered.Finally, recommendations will be given regarding faculty acquisition and development.

Purpose of research. The purpose of the paper is to describe the possibilities of including tasks for the design, development, use and experimental evaluation of “inverted” educational resources in the professional training of future teachers of mathematics and computer science for the development of their subject-methodical readiness. The formation and development of subject-methodical readiness is the main goal of professional training of future lecturers at a pedagogical university. The process of creating “inverted” educational resources requires from their author quite serious subject and methodological training. Potentially, the inclusion of tasks for the design, development, expertise, practical use and evaluation of “inverted” educational resources in the professional training of future teachers of mathematics and computer science can create conditions conducive to the formation of competencies of future teachers to create a comprehensive educational process in a digital environment. Since, on the one hand, in such didactic means, the educational content should be presented systematized and structured, have logic and hierarchical connections. On the other hand, the problematic issues included in the resources should reflect specific subject educational results in accordance with a given taxonomic model in the curriculum.Materials and methods. Based on the analysis of theoretical and methodological sources, the article substantiates the relevance of the problem of finding new ways and means of implementing additional subject training in mathematics and computer science for both schoolchildren and future teachers in the context of digitalization of education. The analysis of examples of “inverted” educational resources, which are the results of the implementation of project tasks by undergraduate students of the Krasnoyarsk State Pedagogical University named after V.P. Astafiev, is presented. Through theoretical and methodological substantiation, the main possibilities of including tasks for working with such resources at different stages of professional training of future teachers of mathematics and computer science at a pedagogical university are synthesized.Results. In this study, the problems related to the possibility of including “inverted” educational resources as digital didactic tools in the training programs of future teachers of mathematics and computer science were updated. The authors’ position on the issue of the purpose of such teaching tools in the context of the digitalization of education is presented and substantiated. Examples of the results of the implementation of project tasks by senior students during the 2021-2022 academic year were demonstrated. The key didactic and information technology features, possible tools for creating “inverted” educational resources are given. The definition of the subject-methodical readiness of the future teacher of mathematics and computer science as an essential component of professional readiness is concretized. The possibilities of strengthening subject-methodical training by including tasks for work with “inverted” educational resources are described: analytical – in junior courses when mastering disciplines related to the use of digital technologies in education; project – in the middle courses when mastering methodological disciplines; experimental and expert - in the senior courses when passing industrial (pedagogical) practice and mastering the final disciplines of the professional educational program of higher pedagogical education.Conclusion. On a final note, the results and conclusions obtained in the paper are summarized; the key positions of the authors on the inclusion of “inverted” educational resources in the professional training of future teachers of mathematics and computer science are given. The materials of the article may be of interest to lecturers of pedagogical universities who train future teachers, representatives of schools cooperating with organizations of higher pedagogical education, researchers in the field of digitalization and digital transformation of education.

Lifelong learning is an important part in the career of an engineer in computer sciences. In this paper the characteristics of life long learning in Computer Sciences are worked out. In 2007 the European Commission launched a lifelong learning programme to enables people at all stages of their lives to take part in stimulating learning experiences. A network of seven European universities started within this programme a project designing a Master program in Computer Science that appeals to non-traditional students who may wish to study on a part-time and/or intermittent basis, in an international framework. (EMaCS means European Master Program in Computer Science) This paper describes how the EMaCS project approaches to the life long learning problems in Computer Science.

In the quest to study and deliver Computer Science (CS) education reform, attention to gate-keeping teacher characteristics is imperative. Broad research in teacher education has demonstrated that teacher dispositions are an important driver of teacher motivation, professional choices, and classroom practices. 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. We analyzed 17 key documents produced by 12 national CS organizations using a grounded theory methodology to identify desirable attitudes and beliefs associated with CS and the CS education reform movement. The documents included standards, corporate research reports, advocacy tools for CS education, and organizational documents of professional associations for CS and CS Education. The analysis yielded several important dispositional targets for description and measurement in the area of teacher attitudes and beliefs. An analysis of 98 coded segments related to dispositions yielded consensus attitudes and beliefs. Professional documents in CS highlight an equity orientation, a teacher growth mindset, and identify key beliefs regarding (career) outcomes and epistemology of CS. It is possible, based on this analysis, to create a profile of a teacher who demonstrates the attitudes and beliefs of a reform-aligned CS teacher, the CS "Champion''. Instrument development along these factors is an important next step towards unlocking the analytical power of teacher attitudes and beliefs.

This paper explores the potential of virtual education options to fulfill policies designed to broaden participation in computer science (CS) education. Virtual education platforms inherently offer access to a wider range of students than traditional brick-and-mortar schools. Access does not preclude the various socio-economic challenges to engaging these platforms, but this format could be used to mitigate barriers to reaching groups of students that have historically been marginalized in CS courses. In 2019, Georgia passed legislation that requires all middle and high schools to offer CS courses by 2025. The legislation also allowed for virtual courses to satisfy the requirement. While the legislation is intent on broadening participation in CS education, it specifically incorporates a virtual option, making it novel among similar legislative actions across the country. In this context, we examine whether virtual CS courses increase access for marginalized student populations. As such, we explore (1) to what extent do the disparities in CS education found in brick-and-mortar classrooms also appear in virtual settings and (2) to what extent is there an association between modality and rurality on CS course enrollment. Using district enrollment data from 2012 to 2019 for CS courses in Georgia, we calculated the percentage of students in marginalized groups that enrolled in physical courses across the state compared to the percentage enrolled in statewide virtual courses to illuminate existing disparities in enrollment. We conducted this analysis at the district level to highlight variability in representative disparity and the underlying structural differences that might contribute to these disparities. Our analysis provides insight that incorporates the different levels of representative disparity districts have overall. As an early adopter of virtual CS education, the Georgia model provides valuable information for states interested in policies to broaden participation in CS courses.

Background & Context Continuously developing teachers’ knowledge, practice, and professional identity is one of the key standards for effective computer science (CS) teachers. Objective This study aims to understand the landscape of CS teachers in the United States, the professional identity they hold, and how their background and teaching context are associated with their CS teacher identity. Method Using data of 3540 teachers, we performed a two-step cluster analysis to reveal homogeneous subgroups of CS teachers. The relationship between teachers’ backgrounds and their CS teacher identity was also assessed. Findings This study identified four profiles of CS teachers based on their professional identity. . CS teacher identity is strongly associated with teachers’ Computer Science Teachers Association membership, teaching responsibility, teaching experience, and their exposure to CS coursework. Implications More professional support is needed for CS teachers, especially for early-career CS teachers, elementary school teachers, and teachers with multiple responsibilities and little CS background.

NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract Attracting and Retaining Women in Computer Science and Engineering: Evaluating the Results Abstract Computer science and engineering communities have been exploring a variety of activities and techniques to attract and retain more students, especially women and minorities, to computer science and computer engineering degree programs1. This paper briefly describes the efforts and results of a plan for actively recruiting young women into undergraduate computer engineering and computer science programs hosted by the University of North Texas (UNT). It also describes a series of activities aimed at improving the retention rate of students already in our programs, particularly during the freshman year. Such recruitment and retention efforts are critical to the country’s efforts to increase the number of engineering professionals, and are a priority for the Computer Science and Engineering (CSE) Department at UNT. We initially designed a three-part plan to achieve our recruitment and retention goals: • Sponsorship of portable and mobile summer computer engineering robotics camps for middle and high-school women students, coordinating with the regional Girl Scouts councils and other organizations to help with the recruitment; • Creation of an Ambassador program using young women currently enrolled in the upper division of current computer science and computer engineering programs as a form of outreach to area high schools and junior colleges; and • Expansion of our successful undergraduate mentoring program by using the Ambassador cohort mentioned above as mentors for incoming freshman and first-year transfer women entering our programs. This paper will focus primarily on the summer camp program and present an analysis of the results we have seen to date after 2 years of camp activities. Results from student surveys and parent surveys will be presented. The paper concludes with recommended changes and improvements in the program, as well as a discussion of adaptations that would create programs suitable for implementation at other institutions as well as programs aimed at a different target population. The three phases previously enumerated each build upon currently accepted educational practices. The robotics summer camp in particular used problem-based learning approaches, similar to those described in The Power of Problem-Based Learning2. This study clearly demonstrates the significant benefits of teaching students how to think by using a problem-based approach. We also developed a mobile laboratory so that the summer camp can be held at several locations, thus broadening and expanding the reach of the camps to traditionally underserved populations and geographical regions. Similarly, both the ambassador and mentoring programs derive from research showing how the recruitment and retention of women in engineering- related fields can be increased by providing opportunities to develop student-to-student relationships3, 4.

Justice-centered approaches to equitable computer science (CS) education\nframe CS learning as a means for advancing peace, antiracism, and social\njustice rather than war, empire, and corporations. However, most research in\njustice-centered approaches in CS education focus on K-12 learning\nenvironments. In this position paper, we review justice-centered approaches to\nCS education, problematize the lack of justice-centered approaches to CS in\nhigher education in particular, and describe a justice-centered approach for\nundergraduate Data Structures and Algorithms. Our approach emphasizes three\ncomponents: (1) ethics: critiques the sociopolitical values of data structure\nand algorithm design as well as the underlying logics of dominant computing\nculture; (2) identity: draws on culturally responsive-sustaining pedagogies to\nemphasize student identity as rooted in resistance to the dominant computing\nculture; and (3) political vision: ensures the rightful presence of political\nstruggles by reauthoring rights to frame CS learning as a force for social\njustice. Through a case study of this Critical Comparative Data Structures and\nAlgorithms pedagogy, we argue that justice-centered approaches to higher CS\neducation can help all computing students not only learn about the ethical\nimplications of nominally technical concepts, but also develop greater respect\nfor diverse epistemologies, cultures, and experiences surrounding computing\nthat are essential to creating the socially-just worlds we need.\n

In May and June 2021, the author conducted a survey of the computing and mathematical graduation requirements of 500 Bachelor of Science in Computer Science ( BSCS ) programs in the U.S. to determine alignment among these requirements and those recommended by ACM/IEEE-CS’s Computer Science Curricula 2013 guidelines and ABET’s Criteria for Accrediting Computing Programs 2021–2022 curricular criterion. Specifically, computing and mathematics credit-hour and course graduation requirements were determined for ABET-accredited and non-accredited BSCS programs within public and private universities. As (i) curricular guidelines are recommendations that do not have to be followed, (ii) curricular accreditation criteria are minimal constraints that may be exceeded, and (iii) non-accredited programs may choose to meet or exceed curricular accreditation criterion, it is possible that graduating computer science students are exposed to similar, or a wide variety, of coursework and associated topics. The survey results presented in this article provide broad answers to these three curricular possibilities. In turn, these results can contribute to future discussions concerning the perceived value of accreditation to students and industry stakeholders, allow educators in computer science departments to compare their curriculum to a large sample of other universities, and provide curricular committees additional insight into how various curricular guidelines are realistically being used.