TY - JOUR A1 - Barnes, Jan A1 - Kennewell, Steve T1 - Teacher Perceptions of Key Competencies in ICT JF - KEYCIT 2014 - Key Competencies in Informatics and ICT N2 - Regardless of what is intended by government curriculum specifications and advised by educational experts, the competencies taught and learned in and out of classrooms can vary considerably. In this paper, we discuss in particular how we can investigate the perceptions that individual teachers have of competencies in ICT, and how these and other factors may influence students’ learning. We report case study research which identifies contradictions within the teaching of ICT competencies as an activity system, highlighting issues concerning the object of the curriculum, the roles of the participants and the school cultures. In a particular case, contradictions in the learning objectives between higher order skills and the use of application tools have been resolved by a change in the teacher’s perceptions which have not led to changes in other aspects of the activity system. We look forward to further investigation of the effects of these contradictions in other case studies and on forthcoming curriculum change. KW - ICT competencies KW - Teacher perceptions KW - Activity Theory KW - Contradictions Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-82604 SN - 1868-0844 SN - 2191-1940 IS - 7 SP - 61 EP - 75 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Grillenberger, Andreas A1 - Romeike, Ralf T1 - Teaching Data Management BT - Key Competencies and Opportunities JF - KEYCIT 2014 - Key Competencies in Informatics and ICT N2 - Data management is a central topic in computer science as well as in computer science education. Within the last years, this topic is changing tremendously, as its impact on daily life becomes increasingly visible. Nowadays, everyone not only needs to manage data of various kinds, but also continuously generates large amounts of data. In addition, Big Data and data analysis are intensively discussed in public dialogue because of their influences on society. For the understanding of such discussions and for being able to participate in them, fundamental knowledge on data management is necessary. Especially, being aware of the threats accompanying the ability to analyze large amounts of data in nearly real-time becomes increasingly important. This raises the question, which key competencies are necessary for daily dealings with data and data management. In this paper, we will first point out the importance of data management and of Big Data in daily life. On this basis, we will analyze which are the key competencies everyone needs concerning data management to be able to handle data in a proper way in daily life. Afterwards, we will discuss the impact of these changes in data management on computer science education and in particular database education. KW - Data Management KW - Key Competencies KW - Big Data KW - NoSQL KW - Databases KW - Data Privacy KW - Data Analysis KW - Challenges Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-82648 SN - 1868-0844 SN - 2191-1940 IS - 7 SP - 133 EP - 150 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Schiller, Thomas T1 - Teaching Information Security (as Part of Key Competencies) BT - The Situation in Austria JF - KEYCIT 2014 - Key Competencies in Informatics and ICT N2 - The poster and abstract describe the importance of teaching information security in school. After a short description of information security and important aspects, I will show, how information security fits into different guidelines or models for computer science educations and that it is therefore on of the key competencies. Afterwards I will present you a rough insight of teaching information security in Austria. KW - Teaching information security KW - key competencies KW - computer science education KW - Austria Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-82960 SN - 1868-0844 SN - 2191-1940 IS - 7 SP - 401 EP - 404 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Hollmann, Susanne A1 - Frohme, Marcus A1 - Endrullat, Christoph A1 - Kremer, Andreas A1 - D’Elia, Domenica A1 - Regierer, Babette A1 - Nechyporenko, Alina T1 - Ten simple rules on how to write a standard operating procedure JF - PLOS Computational Biology N2 - Research publications and data nowadays should be publicly available on the internet and, theoretically, usable for everyone to develop further research, products, or services. The long-term accessibility of research data is, therefore, fundamental in the economy of the research production process. However, the availability of data is not sufficient by itself, but also their quality must be verifiable. Measures to ensure reuse and reproducibility need to include the entire research life cycle, from the experimental design to the generation of data, quality control, statistical analysis, interpretation, and validation of the results. Hence, high-quality records, particularly for providing a string of documents for the verifiable origin of data, are essential elements that can act as a certificate for potential users (customers). These records also improve the traceability and transparency of data and processes, therefore, improving the reliability of results. Standards for data acquisition, analysis, and documentation have been fostered in the last decade driven by grassroot initiatives of researchers and organizations such as the Research Data Alliance (RDA). Nevertheless, what is still largely missing in the life science academic research are agreed procedures for complex routine research workflows. Here, well-crafted documentation like standard operating procedures (SOPs) offer clear direction and instructions specifically designed to avoid deviations as an absolute necessity for reproducibility. Therefore, this paper provides a standardized workflow that explains step by step how to write an SOP to be used as a starting point for appropriate research documentation. Y1 - 2020 VL - 16 IS - 9 PB - PLOS CY - San Francisco ER - TY - JOUR A1 - Lamprecht, Anna-Lena A1 - Wickert, Alexander ED - Lambrecht, Anna-Lena ED - Margaria, Tiziana T1 - The Course's SIB Libraries JF - Process Design for Natural Scientists: an agile model-driven approach N2 - This chapter gives a detailed description of the service framework underlying all the example projects that form the foundation of this book. It describes the different SIB libraries that we made available for the course “Process modeling in the natural sciences” to provide the functionality that was required for the envisaged applications. The students used these SIB libraries to realize their projects. Y1 - 2014 SN - 978-3-662-45005-5 SN - 1865-0929 IS - 500 SP - 30 EP - 44 PB - Springer Verlag CY - Berlin ER - TY - JOUR A1 - Saito, Toshinori T1 - The Key Competencies in Informatics and ICT viewed from Nussbaum’s Ten Central Capabilities JF - KEYCIT 2014 - Key Competencies in Informatics and ICT N2 - This article shows a discussion about the key competencies in informatics and ICT viewed from a philosophical foundation presented by Martha Nussbaum, which is known as ‘ten central capabilities’. Firstly, the outline of ‘The Capability Approach’, which has been presented by Amartya Sen and Nussbaum as a theoretical framework of assessing the state of social welfare, will be explained. Secondly, the body of Nussbaum’s ten central capabilities and the reason for being applied as the basis of discussion will be shown. Thirdly, the relationship between the concept of ‘capability’ and ‘competency’ is to be discussed. After that, the author’s assumption of the key competencies in informatics and ICT led from the examination of Nussbaum’s ten capabilities will be presented. KW - Capability approach KW - competency KW - teaching informatics in general education KW - philosophical foundation of informatics pedagogy KW - education and public policy Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-82718 SN - 1868-0844 SN - 2191-1940 IS - 7 SP - 253 EP - 266 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Gebser, Martin A1 - Kaminski, Roland A1 - Kaufmann, Benjamin A1 - Lühne, Patrick A1 - Obermeier, Philipp A1 - Ostrowski, Max A1 - Romero Davila, Javier A1 - Schaub, Torsten H. A1 - Schellhorn, Sebastian A1 - Wanko, Philipp T1 - The Potsdam Answer Set Solving Collection 5.0 JF - Künstliche Intelligenz N2 - The Potsdam answer set solving collection, or Potassco for short, bundles various tools implementing and/or applying answer set programming. The article at hand succeeds an earlier description of the Potassco project published in Gebser et al. (AI Commun 24(2):107-124, 2011). Hence, we concentrate in what follows on the major features of the most recent, fifth generation of the ASP system clingo and highlight some recent resulting application systems. Y1 - 2018 U6 - https://doi.org/10.1007/s13218-018-0528-x SN - 0933-1875 SN - 1610-1987 VL - 32 IS - 2-3 SP - 181 EP - 182 PB - Springer CY - Heidelberg ER - TY - JOUR A1 - Haugsbakken, Halvdan T1 - The Student Learning Ecology JF - KEYCIT 2014 - Key Competencies in Informatics and ICT N2 - Educational research on social media has showed that students use it for socialisation, personal communication, and informal learning. Recent studies have argued that students to some degree use social media to carry out formal schoolwork. This article gives an explorative account on how a small sample of Norwegian high school students use social media to self-organise formal schoolwork. This user pattern can be called a “student learning ecology”, which is a user perspective on how participating students gain access to learning resources. KW - Learning ecology KW - social media KW - high school KW - Norway Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-82659 SN - 1868-0844 SN - 2191-1940 IS - 7 SP - 151 EP - 169 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Christensen, Rhonda A1 - Knezek, Gerald T1 - The Technology Proficiency Self-Assessment Questionnaire (TPSA) BT - Evolution of a Self-Efficacy Measure for Technology Integration JF - KEYCIT 2014 - Key Competencies in Informatics and ICT N2 - The Technology Proficiency Self-Assessment (TPSA) questionnaire has been used for 15 years in the USA and other nations as a self-efficacy measure for proficiencies fundamental to effective technology integration in the classroom learning environment. Internal consistency reliabilities for each of the five-item scales have typically ranged from .73 to .88 for preservice or inservice technology-using teachers. Due to changing technologies used in education, researchers sought to renovate partially obsolete items and extend self-efficacy assessment to new areas, such as social media and mobile learning. Analysis of 2014 data gathered on a new, 34 item version of the TPSA indicates that the four established areas of email, World Wide Web (WWW), integrated applications, and teaching with technology continue to form consistent scales with reliabilities ranging from .81 to .93, while the 14 new items gathered to represent emerging technologies and media separate into two scales, each with internal consistency reliabilities greater than .9. The renovated TPSA is deemed to be worthy of continued use in the teaching with technology context. KW - Technology proficiency KW - self-efficacy KW - teacher competencies Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-82838 SN - 1868-0844 SN - 2191-1940 IS - 7 SP - 311 EP - 318 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Sysło, Maciej M. A1 - Kwiatkowska, Anna Beata T1 - Think logarithmically! JF - KEYCIT 2014 - Key Competencies in Informatics and ICT N2 - We discuss here a number of algorithmic topics which we use in our teaching and in learning of mathematics and informatics to illustrate and document the power of logarithm in designing very efficient algorithms and computations – logarithmic thinking is one of the most important key competencies for solving real world practical problems. We demonstrate also how to introduce logarithm independently of mathematical formalism using a conceptual model for reducing a problem size by at least half. It is quite surprising that the idea, which leads to logarithm, is present in Euclid’s algorithm described almost 2000 years before John Napier invented logarithm. KW - Logarithm KW - binary search KW - binary representation KW - exponentiation KW - Euclid’s algorithm KW - Fibonacci numbers KW - divide and conquer KW - complexity Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-82923 SN - 1868-0844 SN - 2191-1940 IS - 7 SP - 371 EP - 380 PB - Universitätsverlag Potsdam CY - Potsdam ER -