FB1 Sozial- und Bildungswissenschaften
Filtern
Erscheinungsjahr
- 2018 (4) (entfernen)
Dokumenttyp
Sprache
- Englisch (4) (entfernen)
Gehört zur Bibliographie
- ja (4)
Schlagworte
- English (1)
- Fremdsprachenlernen (1)
- Gebaren (1)
- Geste (1)
- Governance (1)
- Gruppendynamik (1)
- Göteborg (1)
- Hamburg (1)
- Kleinkind (1)
- Kollektive Wohnform (1)
In the current study, 24- to 27-month-old children (N = 37) used pointing gestures in a cooperative object choice task with either peer or adult partners. When indicating the location of a hidden toy, children pointed equally accurately for adult and peer partners but more often for adult partners. When choosing from one of three hiding places, children used adults’ pointing to find a hidden toy significantly more often than they used peers’. In interaction with peers, children's choice behavior was at chance level. These results suggest that toddlers ascribe informative value to adults’ but not peers’ pointing gestures, and highlight the role of children's social expectations in their communicative development.
This article critically examines the governing of ‘sustainable urban development’ through self-build cohousing groups in Gothenburg and Hamburg. The two case cities have been selected because both are currently involved in major urban restructuring, and have launched programmes to support self-build groups and cohousing as part of their emphasis on promoting urban sustainable development through this process. Departing from a theoretical discussion on advanced liberal urban governance, focusing in particular on the contemporary discourse on sustainable urban development, we examine the interaction between political institutions, civil society and private actors in the construction of cohousing as a perceived novel and alternative form of housing that may contribute to fulfilling certain sustainability goals. Questions centre on the socio-political contextualization of cohousing; concepts of sustainability; strategies of, and relations between, different actors in promoting cohousing; gentrification and segregation; and inclusion and exclusion. In conclusion we argue that, while self-build groups can provide pockets of cohousing as an alternative to dominant forms of housing, the economic and political logics of advanced liberal urban development make even such a modest target difficult, particularly when it comes to making such housing affordable.
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.
This paper is the first to examine the motivational disposition of Nepalese learners of L2 English. Based on an adapted version of the questionnaire in (Kormos, Judit & Kata Csizér. 2008. Age-related differences in motivation of learning English as a foreign language: Attitudes, selves, and motivated behavior. Language Learning 58. 327–355. Doi:10.1111/j.1467-9922.2008.00443.x.), we test the robustness and culture-specific applicability of well-known motivational antecedents to this learner population, and we investigate how the effects of these antecedents are mediated by the learners’ gender, age and regional aspects of the educational setting. In doing so, we offer novel ways of analyzing the data: Firstly, we employ random forests and conditional inference trees for assessing the relative importance of motivational antecedents. Secondly, we complement the traditional ‘scale-based approach’, which focuses on holistic constructs like the ‘Ideal L2 Self’, with an ‘item-based approach’ that highlights more specific components of such scales. The results are interpreted with reference to the L2 Motivational Self System (Dörnyei, Zoltán. 2005. The psychology of the language learner: Individual differences in second language acquisition. Mahwah, NJ: Lawrence Erlbaum) and to previous studies on other Asian populations of L2 learners.