A network model of student participation in a support for learning program. Topic status: We're looking for students to study this topic.
Bayesian Networks (BNs) are probabilistic graphical models that represent variables of interest as nodes and dependencies between the variables as arcs. They are a modelling method used for reasoning under uncertainty and have been used in many applications including health, ecology and forensic science to understand and model complex issues. This project investigates the factors that contribute to students participating in a support for learning program and use BNs to model these factors to elucidate reasons for this. Research activities During this project, you'll:
Sharon Goldwater's Bayesian language modeling reading list. People often ask me what they can read to learn more about recent Bayesian modeling techniques and their applications to language learning.
Here is a list of the papers I have found to be most useful and relevant to my own research. I try to emphasize the papers aimed at a slightly less technical/more cognitively inclined audience. This is not intended to be a complete list, only a starting point. Note: This list has not been updated since 2008, in part because the area has now expanded considerably, and keeping it up-to-date would be difficult. But I've decided to keep this list up in case it's still useful to people. General introductory material. Sharon Goldwater's Bayesian language modeling reading list. Dr R Beau Lotto.pdf. Associate Professor Joanne Mulligan - School of Education - Macquarie University. School of Psychology - Directory - People - Emeritus Professor Graeme Halford. Professor Halford’s work focuses on how people recognize the correspondence between structurally similar cognitive representations.
Human reasoning is more analogical than logical, and recognition of correspondence lies at the core of higher cognition (Halford, Wilson & Phillips in Trends in Cognitive Sciences, 2010, 14(11). Halford and Wilson (Cognitive Psychology, 1980, 12(3)) defined equivalence classes of cognitive processes based on structural complexity and showed that cognitive processes can be categorised by their deep structure, offering a high degree of integration across domains. This was developed into the Relational Complexity metric (Halford, Wilson & Phillips, Behavioral & Brain Sciences, 1998, 21(6)). The mathematics of this formulation has been extended by Phillips, Wilson and Halford (PLOS Computational Biology (2009, 5(12)). Successful new paradigms: The University of Adelaide Staff Directory. Biography/ Background I grew up in an area of the United States that reminds me a lot of Australia -- New Mexico and Colorado, with their big blue skies and desert feel.
Carnegie Mellon Department Of Philosophy: Clark Glymour. Research Interests My work in the 1970s focussed on traditional issues in the philosophy of science, especially formal accounts of the confirmation of scientific theories.
In this same period I worked on philosophically interesting global properties of models of general relaivity. In the 1980s, in collaboration with John Earman, I worked on historical topics in late 19th and early 20th century psychiatry (that was an accident--I had to teach a course on Freud!) Northwestern University. Karen C.
Fuson Professor Emerita, Learning Sciences firstname.lastname@example.org Biography Karen Fuson is a mathematics educator and cognitive scientist whose research focuses on children’s mathematical understanding and the classroom conditions that can facilitate such understanding. Research/Scholarship Education Selected Publications. Sarnecka Cognitive Development Lab. Click here to download Barbara Sarnecka's CV Articles Cohen, D.J.
& Sarnecka, B.W. (in press). Children's number-line estimation shows development of measurement skills (not number representations). Developmental Psychology [pdf] House, B.R., Henrich, J., Sarnecka, B.W. & Silk, J.B. (2013). BA (Syd), Dip Ed (CSU), Dip Child Dev’t hons (FCYS), PhD (Macquarie), Psych Reg Board NSW, MAPS, MACE, MAPA. Clark Glymour. Clark Glymour is the Alumni University Professor in the Department of Philosophy at Carnegie Mellon University.
He is also a senior research scientist at the Florida Institute for Human and Machine Cognition. He is the founder of the Philosophy Department at Carnegie Mellon University, a Guggenheim Fellow, a Fellow of the Center for Advanced Study in Behavioral Sciences a Phi Beta Kappa lecturer, and is a Fellow of the statistics section of the AAAS. Publications Books Theory and Evidence (Princeton, 1980)Examining Holistic Medicine (with D. Stalker), Prometheus, 1985Foundations of Space-Time Theories (with J. Journal articles External links References Sharon A. Griffin Ph.D. Professor Griffin received a B.A. from McGill University in 1965, an M.Ed. from the University of New Hampshire in 1970, and a Ph.D. from the University of Toronto in 1988.
She has been at Clark since 1989 and also serves as adjunct professor of psychology. Dr. Griffin is a member of the editorial advisory board for the international Mind, Brain and Education Society and is currently serving as Content Director for a new children's TV series designed to teach the concepts, skills and habits of mind that underlie successful learning of mathematics in school. Griffin, S. (2008). Number Worlds: A prevention/intervention math program for Grades PreK-8.