title: Considering pedagogical content knowledge in the context of research on teaching: An example from technology.

authors: Jones, Alister

subjects: teaching

abstract: When thinking about teaching, the pedagogical content knowledge of teachers cannot be ignored. We argue that pedagogical content knowledge is a major determiner of teaching practice and is central to teachers' curriculum decision-making at the classroom level. This paper takes a sociocultural perspective on the importance of developing teachers' pedagogical content knowledge. From our classroom-based research in technology education and the past research on pedagogical content knowledge we propose a model of pedagogical content knowledge with seven characteristics that we believe are important for effective teaching.

text: Considering pedagogical content knowledge in the context of research on teaching: An example from technology. When thinking about teaching, the pedagogical content knowledge of teachers cannot be ignored. We argue that pedagogical content knowledge is a major determiner of teaching practice and is central to teachers' curriculum decision-making at the classroom level. This paper takes a sociocultural perspective on the importance of developing teachers' pedagogical content knowledge. From our classroom-based research in technology education and the past research on pedagogical content knowledge we propose a model of pedagogical content knowledge with seven characteristics that we believe are important for effective teaching.

year: 2003

title: Comparing classical criteria for selecting intra-class correlated features in Multimix

authors: Hunt, Lynette Anne

subjects: Science & Technology

abstract: The mixture approach to clustering requires the user to specify both the number of components to be fitted to the model and the form of the component distributions. In the Multimix class of models, the user also has to decide on the correlation structure to be introduced into the model. The behaviour of some commonly used model selection criteria is investigated when using the finite mixture model to cluster data containing mixed categorical and continuous attributes. The performance of these criteria in selecting both the number of components in the model and the form of the correlation structure amongst the attributes when fitting the Multimix class of models is illustrated using simulated data and a real medical data set. It is found that criteria based on the integrated classification likelihood have the best performance in detecting the number of clusters to be fitted to the model and in selecting the form of the component distributions. The performance of the Bayesian information criterion in detecting the correct model depends on the partitioning structure among the attributes while the Akaike information criterion and classification likelihood criterion perform in a less satisfactory way.

text: Comparing classical criteria for selecting intra-class correlated features in Multimix The mixture approach to clustering requires the user to specify both the number of components to be fitted to the model and the form of the component distributions. In the Multimix class of models, the user also has to decide on the correlation structure to be introduced into the model. The behaviour of some commonly used model selection criteria is investigated when using the finite mixture model to cluster data containing mixed categorical and continuous attributes. The performance of these criteria in selecting both the number of components in the model and the form of the correlation structure amongst the attributes when fitting the Multimix class of models is illustrated using simulated data and a real medical data set. It is found that criteria based on the integrated classification likelihood have the best performance in detecting the number of clusters to be fitted to the model and in selecting the form of the component distributions. The performance of the Bayesian information criterion in detecting the correct model depends on the partitioning structure among the attributes while the Akaike information criterion and classification likelihood criterion perform in a less satisfactory way.

year: 2016

title: Moonwalking "Backwards into the Future": 'Poi E,' Music Video, and Documentary

authors: Perrott, Lisa

subjects: Art

abstract: Explores how contemporary music videos travel across, shape, and transform various media, online platforms, art institutions, and cultural industries

text: Moonwalking "Backwards into the Future": 'Poi E,' Music Video, and Documentary Explores how contemporary music videos travel across, shape, and transform various media, online platforms, art institutions, and cultural industries

year: 2023-11-02