The topic of this paper is the constructivism-realism debate, construed as an example of the intrusion of philosophy into science. Against this intrusion I maintain that philosophical problems are not only different from scientific and practical ones. They are also problematic in themselves. That is why their import into our scientific and practical work only creates confusions that hinder us in our work. The aim of the paper is to show that the philosophical problems that create those confusions need a Wittgensteinian therapeutic treatment. The method of the paper consists in comparing what philosophers (or philosophising scientists) say we do with what we actually do. After giving an example of what happens when a rightly respected scientist starts philosophizing, the method is applied, first, to the relation between language and the world and, second, to the relation between theories and the world. In the first application a story about three umpires is used to distinguish language and discourse, between questions of meaning (of the words we use) and questions of truth (of the things we say). In the second application a comparison between maps and theories is used to show the difference between assessing the truth of descriptive statements and explanatory theories. The examples of the umpires and maps are introduced by Weick and in both cases I show that neither constructivist nor metaphysical realist conclusions follow.
DOCUMENT
Out-of-school science educational activities, such as school visits to a science center, aim at stimulating pupils’ science talent. Science talent is a developmental potential that takes the form of talented behaviors such as curiosity and conceptual understanding. This dissertation investigates whether and how out-of-school science activities contribute to the elicitation, emergence, and development of pupils’ science talent. The context of this thesis is the Northern Netherlands Science Network, an alliance of primary schools, out-of-school science facilities, the university of Groningen, and the Hanze University of Applied Sciences (www.wknn.nl). Interviews with the schools on their starting position showed that adequate communication between schools and out-of-school facilities is necessary to coordinate the participants’ educational goals. Secondly, the elicitation and expression of science talent was studied in the micro-interactions between pupils and their educator (classroom teacher or facility instructor). To do so, a multivariate coding scheme was developed to measure Pedagogical Content Knowledge expressed in real-time interaction (EPCK). The interaction shows a variable pattern over time. Sometimes episodes of high-level EPCK — so-called talent moments — emerge, in which talented pupil behavior in the form of pupils’ conceptual understanding, and talent elicitation by the educator in the form of open teaching focused on conceptual understanding, determine one another. These talent moments only occur in activities that were prepared in the classroom and with educators who were trained to evoke conceptual understanding. Under these conditions, out of school science activities can contribute to the elicitation and development of science talent in primary school pupils.AB - Out-of-school science educational activities, such as school visits to a science center, aim at stimulating pupils’ science talent. Science talent is a developmental potential that takes the form of talented behaviors such as curiosity and conceptual understanding. This dissertation investigates whether and how out-of-school science activities contribute to the elicitation, emergence, and development of pupils’ science talent. The context of this thesis is the Northern Netherlands Science Network, an alliance of primary schools, out-of-school science facilities, the university of Groningen, and the Hanze University of Applied Sciences (www.wknn.nl). Interviews with the schools on their starting position showed that adequate communication between schools and out-of-school facilities is necessary to coordinate the participants’ educational goals. Secondly, the elicitation and expression of science talent was studied in the micro-interactions between pupils and their educator (classroom teacher or facility instructor). To do so, a multivariate coding scheme was developed to measure Pedagogical Content Knowledge expressed in real-time interaction (EPCK). The interaction shows a variable pattern over time. Sometimes episodes of high-level EPCK — so-called talent moments — emerge, in which talented pupil behavior in the form of pupils’ conceptual understanding, and talent elicitation by the educator in the form of open teaching focused on conceptual understanding, determine one another. These talent moments only occur in activities that were prepared in the classroom and with educators who were trained to evoke conceptual understanding. Under these conditions, out of school science activities can contribute to the elicitation and development of science talent in primary school pupils.
LINK
Philosophy is an elective subject in secondary education in the Netherlands, which is not often studied in the context of citizenship education. This is probably because only a minority of students participate in philosophy classes in the upper grades of secondary education (approximately 2-5% of all students). However, especially in the years 2022-2025 philosophy is particularly interesting for those studying how citizenship education can be taught, because the higher general track students study a range of philosophical ideas about democracy for their final exams (Spoelstra et al., 2021).This paper presents a qualitative analysis of three philosophy classes about freedom of speech. The lesson transcripts, pre- and post-observation interviews with 3 teachers and 15 students (5 from each class) are coded thematically with a framework for four teacher responsibilities during philosophical discussion in moral education. These four responsibilities are: teachers have an organizational responsibility to facilitate lesson activities such as classroom dialogue to facilitate thinking about democracy, an epistemic responsibility to warrant valid reasoning and recognition of established facts during the lesson, a pedagogic responsibility to create a safe and open classroom climate and a moral responsibility to find the right balance between value communication and stimulation (Leenders & Veugelers, 2004; Rombout et al., 2022; Sprod, 2001). The main research question was: how do philosophy teachers realize these four responsibilities to facilitate their students’ thinking about democracy in a lesson about freedom of speech and how to teacher and students evaluate these responsibilities in this lesson?The findings contain rich descriptions of lesson activities such as considering borderline cases, facilitating teacher-led dialogue, organizing debate, and learning about philosophers’ arguments. These are supplemented with reflections of the participants on teacher neutrality and how open and safe the classroom climate was during these lessons.
DOCUMENT
The focus of the research is 'Automated Analysis of Human Performance Data'. The three interconnected main components are (i)Human Performance (ii) Monitoring Human Performance and (iii) Automated Data Analysis . Human Performance is both the process and result of the person interacting with context to engage in tasks, whereas the performance range is determined by the interaction between the person and the context. Cheap and reliable wearable sensors allow for gathering large amounts of data, which is very useful for understanding, and possibly predicting, the performance of the user. Given the amount of data generated by such sensors, manual analysis becomes infeasible; tools should be devised for performing automated analysis looking for patterns, features, and anomalies. Such tools can help transform wearable sensors into reliable high resolution devices and help experts analyse wearable sensor data in the context of human performance, and use it for diagnosis and intervention purposes. Shyr and Spisic describe Automated Data Analysis as follows: Automated data analysis provides a systematic process of inspecting, cleaning, transforming, and modelling data with the goal of discovering useful information, suggesting conclusions and supporting decision making for further analysis. Their philosophy is to do the tedious part of the work automatically, and allow experts to focus on performing their research and applying their domain knowledge. However, automated data analysis means that the system has to teach itself to interpret interim results and do iterations. Knuth stated: Science is knowledge which we understand so well that we can teach it to a computer; and if we don't fully understand something, it is an art to deal with it.[Knuth, 1974]. The knowledge on Human Performance and its Monitoring is to be 'taught' to the system. To be able to construct automated analysis systems, an overview of the essential processes and components of these systems is needed.Knuth Since the notion of an algorithm or a computer program provides us with an extremely useful test for the depth of our knowledge about any given subject, the process of going from an art to a science means that we learn how to automate something.
