15 research outputs found

    Statistical models for cores decomposition of an undirected random graph

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    The kk-core decomposition is a widely studied summary statistic that describes a graph's global connectivity structure. In this paper, we move beyond using kk-core decomposition as a tool to summarize a graph and propose using kk-core decomposition as a tool to model random graphs. We propose using the shell distribution vector, a way of summarizing the decomposition, as a sufficient statistic for a family of exponential random graph models. We study the properties and behavior of the model family, implement a Markov chain Monte Carlo algorithm for simulating graphs from the model, implement a direct sampler from the set of graphs with a given shell distribution, and explore the sampling distributions of some of the commonly used complementary statistics as good candidates for heuristic model fitting. These algorithms provide first fundamental steps necessary for solving the following problems: parameter estimation in this ERGM, extending the model to its Bayesian relative, and developing a rigorous methodology for testing goodness of fit of the model and model selection. The methods are applied to a synthetic network as well as the well-known Sampson monks dataset.Comment: Subsection 3.1 is new: `Sample space restriction and degeneracy of real-world networks'. Several clarifying comments have been added. Discussion now mentions 2 additional specific open problems. Bibliography updated. 25 pages (including appendix), ~10 figure

    Maltese teachers’ beliefs concerning the integration of children’s literature in mathematics teaching and learning

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    This exploratory mixed-methods study set out to explore Maltese primary school teachers’ perceived barriers to, and enablers for, the integration of children’s literature in mathematics teaching. Data were collected by means of an online questionnaire and semi-structured interviews, and analysed thematically using Ajzen’s Theory of Planned Behaviour. The responses given by the participants showed that integration of mathematics and stories was not a common practice. The perceived barriers were categorised as Resource Constraint, Time Constraint, Lack of Pedagogical Knowledge and Confidence, Doubts about Outcome Expectancy, and Inhibiting Social Norms while the three perceived enablers identified were Pedagogical Benefits, Love of Stories, and Enabling Social Norms. Given that the majority of the participating teachers acknowledged the potential benefits of the approach and expressed a wish for training, one key recommendation of the study is for teaching mathematics through stories to be explicitly included in pre-service and in-service professional development programmes

    Parallel Reflections: The Interdisciplinary Process of Co-Constructing Meaning

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    This paper reports the results of a study conducted by four teacher educators who represent four disciplines in education. The purpose was to understand how pre-service teacher reflections influenced teacher educator reflections within a course. Data collection methods included narrative and document review. Data analysis methods included multiple readings and discussions of individual portraits in search of answers to research questions. Findings include a parallel reflection model that illustrates a dynamic process that occurs within the dialogic space as student and professor thoughts and discourse are interwoven to make theory to practice connections, co-construct new knowledge and begin challenging existing beliefs and dispositions through their reflections

    Parallel Reflections: The Interdisciplinary Process of Co-Constructing Meaning

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    This paper reports the results of a study conducted by four teacher educators who represent four disciplines in education. The purpose was to understand how pre-service teacher reflections influenced teacher educator reflections within a course. Data collection methods included narrative and document review. Data analysis methods included multiple readings and discussions of individual portraits in search of answers to research questions. Findings include a parallel reflection model that illustrates a dynamic process that occurs within the dialogic space as student and professor thoughts and discourse are interwoven to make theory to practice connections, co-construct new knowledge and begin challenging existing beliefs and dispositions through their reflections
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