FB1 Sozial- und Bildungswissenschaften
Filtern
Dokumenttyp
- Wissenschaftlicher Artikel (24) (entfernen)
Volltext vorhanden
- nein (24)
Gehört zur Bibliographie
- ja (24)
Schlagworte
- Kind (8)
- Kindertagesstätte (2)
- Kollaboration (2)
- Maschinelles Lernen (2)
- Menschenrecht (2)
- Partizipation (2)
- Reallabor (2)
- Sustained Shared Thinking (2)
- Algorithmus (1)
- Alltag (1)
Institut
- Inst. für angewandte Forschung Urbane Zukunft (IaF) (24) (entfernen)
Recent advances in artificial intelligence and computer science can be used by social scientists in their study of groups and teams. Here, we explain how developments in machine learning and simulations with artificially intelligent agents can help group and team scholars to overcome two major problems they face when studying group dynamics. First, because empirical research on groups relies on manual coding, it is hard to study groups in large numbers (the scaling problem). Second, conventional statistical methods in behavioral science often fail to capture the nonlinear interaction dynamics occurring in small groups (the dynamics problem). Machine learning helps to address the scaling problem, as massive computing power can be harnessed to multiply manual codings of group interactions. Computer simulations with artificially intelligent agents help to address the dynamics problem by implementing social psychological theory in data-generating algorithms that allow for sophisticated statements and tests of theory. We describe an ongoing research project aimed at computational analysis of virtual software development teams.
Ohne Bindung keine Bildung
(2018)
Durch die Studien von John Bowlby und Mary Ainsworth zur Bildungstheorie wissen wir, dass Kinder durch vielfältige Interaktionen eine Bindung zu Erwachsenen aufbauen, also eine emotionale Beziehung, die über einen längeren Zeitraum anhält. Diese Bindung an ihre Bezugspersonen brauchen die Kinder, um aktiv und selbstbestimmt lernen zu können.
Im vorliegenden Artikel werden Praktiken des Kuratierens vor dem Hintergrund ihrer algorithmischen, d.h. berechenbaren, und Ökonomie-strategischen Potentiale diskutiert. Eingenommen wird eine medienphilosophische Perspektive, aus der heraus das Kuratieren angelehnt an Heideggers Denkbegriff zu einem ästhetischen Denken dekonstruiert und an die Fähigkeit zur Krise geknüpft wird. Dem gegenüber wird ein berechnender Modus des Kuratierens positioniert, der sich von kalkulierbaren Strategien der Selbstoptimierung und der Selbsterhaltung im Sinne einer ,Care-Arbeit’ ableitet. Über Formen der Opazität, hier als Undurchlässigkeit gemeint, werden Kurationsformen – unter dem Gesichtspunkt des kuratorischen Wissens (Konzeptideen, Künstler*innen-Kontakte, Raumzugriffe etc.) – und Algorithmen – als Verschleierungstaktik von Unternehmensstrategien – parallelisiert. Vorgeschlagen wird ein Open-Access-Modell, das über digitale Netzwerke Formen kuratorischer Kollaboration ermöglicht und opake Prozesse in mehrfacher Hinsicht transparenter gestaltet.
Bildung und Interesse
(2019)
A topology of groups
(2020)
In this work, we study the collaboration patterns of open source software projects on GitHub by analyzing the pull request submissions and acceptances of repositories. We develop a group typology based on the structural properties of the corresponding directed graphs, and analyze how the topology is connected to the repositorys collective identity, hierarchy, productivity, popularity, resilience and stability. These analyses indicate significant differences between group types and thereby provide valuable insights on how to effectively organize collaborative software development. Identifying the mechanisms that underlie self-organized collaboration on digital platforms is important not just to better understand open source software development but also all other decentralized and digital work environments, a setting widely regarded as a key feature of the future work place.
The idea that a simple execution of an innovation invented by actors other than those who are expected to apply it is not likely to take place is a truism. We assume, however, in this paper the idea of a discursive production of knowledge on the application of an innovation across different levels of the education system. We aim to shed light on an innovation’s ‘journey’ from educational policy over training providers to teams of professionals in early childhood education and care (ECEC). By investigating knowledge and emotions associated with the introduction of an intended innovation using the example of “stimulation interactions” in day care-centers, the paper contributes to research on the transfer of innovations in education. To better understand challenges occurring during the transfer of innovations, we triangulate methods from discourse theory (coding techniques based on GTM) and cognitive science, namely cognitive-affective mapping (according to the scholarly conventions). The data corpus includes educational plans (N = 2), in-service training programs (N = 123) and group discussions of pedagogical teams (N = 6) who participated in an in-service training on the subject, stimulating interaction. Findings underline that similar messages from the inventors on the educational policy level are received and processed heterogeneously by the teams of pedagogues as a result of their preexisting views, routine practices and experiences with intended innovations through in-service trainings. Besides, a diffuse mixture of competing and contradictory information is communicated to the professionals and, hence, collides with the in-service training providers’ and educational policy actors’ expectations on the processing of the intended innovation. Specific knowledge elements and their valences are diametrically opposed to each other. Dissonances like these are considered as obstacles to social innovation. The obstacles are caused by the lack of a ‘common language’ beyond all levels. Hence, policy-makers and in-service-training providers should anticipate the supportive as well as competing knowledge-emotional complexes of professionals and take these into account when communicating an intended innovation.
Welche Potenziale hat TikTok für die individuelle und gesellschaftliche Bewältigung der Corona-Pandemie? In einer qualitativen Inhaltsanalyse von 100 Videos unter #Corona wurden zentrale Narrative in Bezug auf digitales Storytelling herausgearbeitet und aus psychologischer Perspektive auf mögliche Coping-Strategien untersucht. Die Ergebnisse zeigen die meist unbewusste Auseinandersetzung mit persönlichen Bedürfnissen und Möglichkeiten korrektiver emotionaler Erfahrungen auf TikTok.
Der Artikel gibt am Beispiel des Fachbereichs Sozial- und Bildungswissenschaften der FH Potsdam Einblicke in den Ablauf der digitalen Transformation der Hochschullehre während der Corona-Pandemie. Darüber hinaus werden aus den Erfahrungen des Sommersemesters 2020 Chancen und Herausforderungen für eine nachhaltige Implementierung digital-hybrider Formate in die Hochschulbildung abgeleitet.
The ability to refer to objects – singular reference – is arguably the decisive innovation on the way to human propositional cognition. This article argues that object individuation requires singular reference because basic singular terms, namely spatial indexicals, provide a symbolic frame of reference for object individuation. The authors suggest that singular reference is intrinsically connected to essential characteristics of propositionality: among other things, it guarantees the situation-independence of meaning, allows for the distinction between truth and falsehood, and enables us to think about possibilities. The authors sketch how singular reference gives rise to the development of predication, the powerful logical tool of quantification, and forms the basis for differentiating between belief and desire.