Computer science in Dutch secondary education: independent or integrated?

Nowadays, in Dutch secondary education, computer science is integrated within school subjects. About ten years ago computer science was considered an independent subject, but in the mid-1980s this idea changed. In our study we investigated whether the objectives of teaching computer science as an independent subject are met when computer science is integrated within school subjects. The main problem was that there was no formal curriculum of computer science as an independent subject. Therefore we interviewed 13 experts in the field of computer science and then compared this formal curriculum with the operational (integrated) curriculum, which is still in the development stage. It appears that most of the components of the formal curriculum are being covered by the operational curriculum, and we therefore concluded that these curricula are equivalent, although there may be differences in the level of teaching. In our opinion the best approach to computer science is to combine the independent and the integrated approaches

Flexible learning in computer science

This paper outlines the concept of Flexible Pedagogy and how it can assist in addressing some of the issues facing STEM disciplines in general, and Computer Science in particular. The paper considers what flexible pedagogy is and how technologies developed by Computer Science can enable flexibility. It then describes some of the issues facing STEM education, with a particular focus on Computer Science education in Higher Education. Finally, it considers how flexible approaches to teaching and learning are particularly pertinent to the issues faced in Computer Science and future opportunities

Development of Computer Science Disciplines - A Social Network Analysis Approach

In contrast to many other scientific disciplines, computer science considers conference publications. Conferences have the advantage of providing fast publication of papers and of bringing researchers together to present and discuss the paper with peers. Previous work on knowledge mapping focused on the map of all sciences or a particular domain based on ISI published JCR (Journal Citation Report). Although this data covers most of important journals, it lacks computer science conference and workshop proceedings. That results in an imprecise and incomplete analysis of the computer science knowledge. This paper presents an analysis on the computer science knowledge network constructed from all types of publications, aiming at providing a complete view of computer science research. Based on the combination of two important digital libraries (DBLP and CiteSeerX), we study the knowledge network created at journal/conference level using citation linkage, to identify the development of sub-disciplines. We investigate the collaborative and citation behavior of journals/conferences by analyzing the properties of their co-authorship and citation subgraphs. The paper draws several important conclusions. First, conferences constitute social structures that shape the computer science knowledge. Second, computer science is becoming more interdisciplinary. Third, experts are the key success factor for sustainability of journals/conferences

The skewness of computer science

Computer science is a relatively young discipline combining science, engineering, and mathematics. The main flavors of computer science research involve the theoretical development of conceptual models for the different aspects of computing and the more applicative building of software artifacts and assessment of their properties. In the computer science publication culture, conferences are an important vehicle to quickly move ideas, and journals often publish deeper versions of papers already presented at conferences. These peculiarities of the discipline make computer science an original research field within the sciences, and, therefore, the assessment of classical bibliometric laws is particularly important for this field. In this paper, we study the skewness of the distribution of citations to papers published in computer science publication venues (journals and conferences). We find that the skewness in the distribution of mean citedness of different venues combines with the asymmetry in citedness of articles in each venue, resulting in a highly asymmetric citation distribution with a power law tail. Furthermore, the skewness of conference publications is more pronounced than the asymmetry of journal papers. Finally, the impact of journal papers, as measured with bibliometric indicators, largely dominates that of proceeding papers.Comment: I applied the goodness-of-fit methodology proposed in: A. Clauset, C. R. Shalizi, M. E. J. Newman. Power-law distributions in empirical data. SIAM Review 51, 661-703 (2009

Summer learning experience for girls in grades 7–9 boosts confidence and interest in computing careers

Academic exposure to computer science, encouragement to study computer science, and connecting personal interests to computing areas influence women to pursue degrees in computer science. Guided by these recommendations, we designed and offered a summer learning experience for girls in grades 7--9 in summer 2016. The goal of the program was to improve girls\u27 perceptions of learning computer science through academic exposure in the informal setting of a girls-only summer camp. In this paper we present a study of the girls\u27 perceptions of CS learning. Four constructs were used to develop pre- and post-survey items: computing confidence, intent to persist, social supports, and computing outcomes expectations. The camp appeared to have positively influenced the girls on two of the four constructs, by improving computing confidence and positive perceptions of computing careers

Reinvigorating the discipline:pervasive computing and tomorrow's computer scientists

Declining enrollments in computer science and related fields are a global concern. This issue's column, by Mike Hazas and Rebecca Marsden of Lancaster University in the UK describes the novel Lancaster Headstart program that uses the excitement of pervasive computing to attract students into the computer science

The Logic of Time: from Aristotle to Computer Science

Charla tipo conferencia-seminario dada para alumnos de un másterThis short course will explore that continuous thread which connects the discussion about time in philosophy with the modern use of temporal logic in computer science. It will go through the history of temporal logic to show how ideas developed by ancient and medieval philosophy have been rediscovered in modern times and applied to solve relevant problems in computer science. Part 1: An historical perspective on temporal logic • Synthesis: the nature of time is a central issue of classical and medieval phylosophy • Downfall: in the Renaissance the subject loses interest and is removed from the philo- sophical discussion • Rediscovery: in the 19th and 20th centory temporal logic become a central issue again Part 2: Time in Computer Science • Algorithms, states and computations • Imperative programs and Reactive programs • Temporal Logic for Computer Science: CTL and LTL • The satisfiability problem • The model checking problemUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech