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Anna Eckerdal; Anders Berglund; Michael Thuné – European Journal of Engineering Education, 2024
Learning in the computer laboratory is an important component when students learn computer programming. In this article, we analyse empirical data on novice students working in pairs in the laboratory. Using an approach inspired by phenomenography and variation theory, we specifically focus on how students' learning of theory and their learning of…
Descriptors: Programming, Theory Practice Relationship, Higher Education, Computer Science Education
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Lagesen, Vivian Anette; Pettersen, Ivar; Berg, Line – European Journal of Engineering Education, 2022
This paper address how we may understand inclusion strategies designed to reduce the gender gap in higher education in engineering and ICT engineering in particular. Based on a case study of a long-term inclusion effort and statistics on recruitment and retainment, we argue that inclusion initiatives which address important inclusion needs and put…
Descriptors: Females, Engineering Education, Computer Science Education, Inclusion
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Harmanani, Haidar M. – European Journal of Engineering Education, 2017
The calls for accountability in higher education have made outcome-based assessment a key accreditation component. Accreditation remains a well-regarded seal of approval on college quality, and requires the programme to set clear, appropriate, and measurable goals and courses to attain them. Furthermore, programmes must demonstrate that…
Descriptors: Computer Science Education, Outcome Based Education, Accreditation (Institutions), Institutional Evaluation
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Hoholdt, Tom – European Journal of Engineering Education, 1985
Examines some of the mathematical topics which are important in computer science by discussing in some detail the process of sorting by comparisons. (JN)
Descriptors: Computer Science, Computer Science Education, Higher Education, Mathematical Logic
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Graham, Peter; Karlsson, Goran – European Journal of Engineering Education, 1987
Described are the developments of a computing environment, the general training in the use of information technology, the training of specialists in computer science and engineering, and the use of information technology as an aid in the education process at the Royal Institute of Technology in Stockholm. (RH)
Descriptors: Computer Assisted Instruction, Computer Oriented Programs, Computer Science, Computer Science Education
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Siwak, Pawel P. – European Journal of Engineering Education, 1985
Presents two examples which illustrate the usefulness of ideas from cellular automata. First, Lee's algorithm is recalled and its cellular nature shown. Then a problem from digraphs, which has arisen from analyzing predecessing configurations in the famous Conway's "game of life," is considered. (Author/JN)
Descriptors: Computer Science, Engineering, Engineering Education, Higher Education
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Kvande, Elin; Rasmussen, Bente – European Journal of Engineering Education, 1989
Discusses the possibility that changing the arrangement of computer courses from association with technical and mathematical subjects to a broader course based on social subjects and arts will lead to an increase in the proportion of women studying and working in the computer field. (Author/YP)
Descriptors: College Science, Computer Science, Course Selection (Students), Engineering
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McQueen, Douglas H.; Wilhelmsson, Lars; Emanuelsson, Goran – European Journal of Engineering Education, 1998
Traces the economic growth of embedded software in industrial products and explains that there is a shortage of engineers in this field. Proposes a different view of engineering education. (DDR)
Descriptors: College Curriculum, Computer Science Education, Computer Software Development, Engineering Education
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Edwards, Lyndon; Demaid, Adrian – European Journal of Engineering Education, 1987
Contends that the major use and promise of computer aided learning (CAL) lies in the provision of secondary teaching support such as simulations, interactive tutorials, and similar activities. Reviews the uses and benefits of CAL in demonstrations, experiments, exercises, and interactive tutorials. (ML)
Descriptors: College Science, Computer Assisted Instruction, Computer Science Education, Computer Uses in Education