1,136 research outputs found
Teachers’ individual action theories about competence-based education: the value of the cognitive apprenticeship model
Seezink, A., Poell, R. F., & Kirschner, P. A. (2009). Teachers' individual action theories about competence-based education: The value of the cognitive apprenticeship model. Journal of Vocational Education & Training, 61, 203-215.Dutch prevocational secondary schools are reforming their educational
programmes to make them more competence-based. This reform has substantial
implications for the roles played by teachers. Yet, little empirical research has
been conducted on teachers’ processes of competence development in vocational
settings. This study explores teachers’ individual action theories regarding the
introduction of competence-based prevocational secondary education. The
cognitive apprenticeship model provides a conceptual framework for addressing
this issue. The research questions addressed here are: How do teachers value
elements of the cognitive apprenticeship model in designing and delivering
competence-based prevocational secondary education?, and, What individual
action theories do teachers have regarding competence-based prevocational
secondary education? The study was designed in two phases. In the qualitative
phase, interviews and concept map techniques were used, while the quantitative
phase employed a questionnaire. Teachers valued elements of the cognitive
apprenticeship model differently, and suggested two additional features: a custommade
educational approach and the professionalisation of teachers
A customisable pipeline for continuously harvesting socially-minded Twitter users
On social media platforms and Twitter in particular, specific classes of
users such as influencers have been given satisfactory operational definitions
in terms of network and content metrics.
Others, for instance online activists, are not less important but their
characterisation still requires experimenting.
We make the hypothesis that such interesting users can be found within
temporally and spatially localised contexts, i.e., small but topical fragments
of the network containing interactions about social events or campaigns with a
significant footprint on Twitter.
To explore this hypothesis, we have designed a continuous user profile
discovery pipeline that produces an ever-growing dataset of user profiles by
harvesting and analysing contexts from the Twitter stream.
The profiles dataset includes key network and content-based users metrics,
enabling experimentation with user-defined score functions that characterise
specific classes of online users.
The paper describes the design and implementation of the pipeline and its
empirical evaluation on a case study consisting of healthcare-related campaigns
in the UK, showing how it supports the operational definitions of online
activism, by comparing three experimental ranking functions. The code is
publicly available.Comment: Procs. ICWE 2019, June 2019, Kore
HRD beyond what HRD practitioners do:A framework for furthering multiple learning processes in work organizations
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