In this paper, the performance gain obtained by combining parallel peri- odic real-time processes is elaborated. In certain single-core mono-processor configurations, for example, embedded control systems in robotics comprising many short processes, process context switches may consume a considerable amount of the available processing power. For this reason, it can be advantageous to combine processes, to reduce the number of context switches and thereby increase the performance of the application. As we consider robotic applications only, often consisting of processes with identical periods, release times and deadlines, we restrict these configurations to periodic real-time processes executing on a single-core mono-processor. By graph-theoretical concepts and means, we provide necessary and sufficient conditions so that the number of context switches can be reduced by combining synchronising processes.
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We present our ongoing work on upgrading the Amsterdam Public Library's book database search capabilities. So far, users have had to input the exact book title and/or author name without any typos or misspellings in order to retrieve any results. This is in sharp contrast with the manner in which users typically use the interface: they frequently search for books on a particular topic, input the names of the characters, or even ask fully-fledged questions. The aim of this project is therefore to enable smart search in natural language based on book content. The initial focus is on the Dutch language, with the possibility of including English and other languages later. In the first phase of the project, we built a proof-of-concept knowledge graph from a sample of the existing tabular database and enriched the data with named entities extracted from book summaries. Based on this first step, a user query like "Heeft u boeken over de Tweede Wereldoorlog in Amsterdam?" would yield all books that mention both WW2 and Amsterdam. We are currently working on augmenting the knowledge graph with embeddings, which will enable us to retrieve semantically similar results. The final step of the research involves integrating our knowledge graph with a pre-trained large language model.
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Buildings need to be carefully operated and maintained for optimum health, comfort, energy performance, and utility costs. The increasing use of Machine Learning combined with Big Data in the building services sector has shown the potential to bring energy efficiency and cost-effectiveness. Therefore, upskilling and reskilling the current workforce is required to realize new possibilities. In addition, sharing and preserving knowledge are also required for the sustainable growth of professionals and companies. This formed the basis for the Dutch Research Council funded TransAct project. To increase access to education on the job, online learning is experiencing phenomenal growth. A study was conducted with two focus groups - professionals of a building service company and university researchers - to understand the existing challenges and the ways to improve knowledge sharing and upskilling through learning on the job. This study introduced an Enterprise Social Network platform that connects members and may facilitate knowledge sharing. As a community forum, Yammer from office 365 was used. For hosting project files, a SharePoint page was created. For online courses, the company’s online learning site was utilized. The log data from the online tools were analysed, semi-structured interviews and webinars were conducted and feedback was collected with google forms. Incentive models like social recognition and innovative project results were used to motivate the professionals for online activities. This paper distinguishes the impacts of initiatives on the behaviour of university researchers vs company employees.
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Explicit language objectives are included in the Swedish national curriculum for mathematics. The curriculum states that students should be given opportunities to develop the ability to formulate problems, use and analyse mathematical concepts and relationships between concepts, show and follow mathematical reasoning, and use mathematical expressions in discussions. Teachers’ competence forms a crucial link to bring an intended curriculum to a curriculum in action. This article investigates a professional development program, ‘Language in Mathematics’, within a national program for mathematics teachers in Sweden that aims at implementing the national curriculum into practice. Two specific aspects are examined: the selection of theoretical notions on language and mathematics and the choice of activities to relate selected theory to practice. From this examination, research on teacher learning in connection to professional development is proposed, which can contribute to a better understanding of teachers’ interpretation of integrated approaches to language and mathematics across national contexts.
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Online supplements to Smit, E., Tuithof, H., Savelsbergh, E., & Béneker, T. (2023). Geography teachers’ pedagogical content knowledge: A systematic review. Journal of Geography. https://doi.org/10.1080/00221341.2023.2173796 Supplement 1: Extended information on selected studies Supplement 2: Full references of studies used in the review Supplement 3: Codebook Abstract: Pedagogical Content Knowledge (PCK) is the knowledge teachers use to teach a specific subject to a specific audience. The importance of PCK to quality teaching is widely recognized. However, an overview of research about geography teachers’ PCK is missing. To fill this gap, we conducted a systematic review. We analyzed 43 empirical studies, but only 9 used PCK as a framework. Most studies addressed instructional strategies or teaching orientations. The studies were too diverse to draw conclusions on geography teachers’ PCK in general. But portraits of 16 geography teachers emphasized the necessity of geographical knowledge and teaching experience for PCK-quality.
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We present a novel architecture for an AI system that allows a priori knowledge to combine with deep learning. In traditional neural networks, all available data is pooled at the input layer. Our alternative neural network is constructed so that partial representations (invariants) are learned in the intermediate layers, which can then be combined with a priori knowledge or with other predictive analyses of the same data. This leads to smaller training datasets due to more efficient learning. In addition, because this architecture allows inclusion of a priori knowledge and interpretable predictive models, the interpretability of the entire system increases while the data can still be used in a black box neural network. Our system makes use of networks of neurons rather than single neurons to enable the representation of approximations (invariants) of the output.
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Interactive Virtual Math (IVM) is a visualization tool to support secondary school students’ learning of graphs by dynamic events. In the prototype version students construct a graph and try to improve it themselves and with the feedback of the tool. In a small-scale experiment, which involved four classes at secondary and tertiary education and their mathematics teachers we investigated how the students used the tool in the classroom. In this study we focus on the students learning experience and the results are expected to provide knowledge and directions for further development of the tool. The corpus data consists of self-reported questionnaires and lessons observations. One main finding is that students, at different school levels, find the tool useful to construct or improve graphical representations and it can help to get a better understanding of the subject. The tool features that helped students most were the self-construction of the graphs and to get feedback about their own graph at the end. Other findings are that the students can work independently with the tool and we know more about the tool features that are attractive or need to be improved.
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An on-going investigation in the learning effects of IPD projects. In three subsequent semesters the students were asked how they rated their competencies at the start of the project as well as at the end of it. Also questionnaires were filled out and students were interviewed. A lot of students tended to give themselves lower ratings in the end than in the begin. It appeared that if they met any difficulties in for instance communication or co-operation during the project, that they interpreted this as a decrease in competencies. Finally the students were explicitly asked to mention an eventual increase in competencies and also a possible contribution for this effect. Only a few factors that actually contribute to the learning effects have been defined.
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Between 1 March 2021 and 30 April 2023, a consortium (consisting of in the Netherlands: the National Library of the Netherlands (Koninklijke Bibliotheek -KB), The Hague University of Applied Sciences, the Netherlands Institute for Sound and Vision in Hilversum; in Belgium: Media & Learning Association in Leuven and Public Libraries 2030 in Brussels; and in Spain: Fundación Platoniq in Barcelona) carried out an Erasmus+-funded research project on news media literacy among young people. It involved Dutch, Belgian and Spanish young people aged 12-15. The acronym SMILES, which stands for 'innovative methodS for Media & Information Literacy Education involving schools and librarieS', was chosen for the project title. The main goals of the SMILES project are: • Forming pairs between librarians and secondary school teachers in the three European countries, who were empowered through train-the-trainer workshops to teach secondary school students about news media literacy in relation to disinformation; • Helping students use digital technologies more safely and responsibly with a focus on recognising reliable and authentic information versus becoming more resilient to disinformation; • Developing five building blocks serving as teaching materials for Dutch, Belgian and Spanish pupils aged 12-15 with the aim of making them recognise disinformation and making them more resilient against it; • A scientific evaluation of the effectiveness of the implemented lessons through impact measurement using 'pre-knowledge tests' and 'post-knowledge tests'; • A strengthening of existing collaborations and creation of new collaborations between schools and libraries in the three partner countries. The SMILES project was implemented through three work packages. In the first work package, five so-called 'Baseline studies', or literature reviews, were conducted. The focus was on what the different educational approaches in Spain, Belgium and the Netherlands are with regard to disinformation and how these approaches can be linked. Based on these studies, the five building blocks were developed in the second work package. In addition, the teaching pairs were offered the training programme developed by SMILES through a 'train-the-trainer methodology' to safely and responsibly deploy the use of digital media tools during lessons with students. Also, based on the disinformation literature, the knowledge tests were designed to conduct an impact measurement of the train-the-trainer workshops and lessons among the trainers (teaching pairs) and students, respectively. These knowledge tests contained statements on disinformation that were answered correctly or incorrectly by respondents. The number of correctly answered statements prior to the lessons was compared with the number of correctly answered statements after the lessons. In this way, an attempt was made to prove a positive learning effect of the deployed lessons. In the third work package, the results from the pre-knowledge tests and the post-knowledge tests were analysed. In addition to these quantitative analyses, qualitative results were also used to analyse and look at the extent to which the training provided to trainers (teaching pairs) and the lessons with the five building blocks for students proved effective in teaching, recognising and becoming more resilient to disinformation, respectively. In doing so, we also reflect on whether the methodology tested has been effective in the three countries: what are the best practices and where do we see areas for improvement?
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We are well into the 21st century now and the urgency for lifelong learning is growing especially regarding numeracy. There are major societal and policy pressures on education to prepare citizens for a complex and technologized society, in literature referred to as “21st century skills” (Voogt & ParejaRoblin, 2012), “global competences” (OECD, 2016a) or “the 4th industrial revolution” (Schwab, 2016). International research has demonstrated the economic and social value of literacy and numeracy knowledge and skills (Hanushek and Wöbmann, 2012; Grotlüschen, et al. 2016). With respect to numeracy (and/or mathematics) education, we explore the implications of these pressures to the mathematical demands at individuals living and working in modern life, and what is expected from numeracy education as society moves further into the 21st century. New means of communication and types of services have changed the way individuals interact with governments, institutions, services and each other, and social and economic transformations have in turn, changed the nature of the demand for skills as well.
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