The authors of this article discuss three pedagogical approaches, learning community, community of practice and community learning, and analyse their significance for knowledge acquisition and construction in higher education. The authors also explore the roles of technology in creating adequate environments for educators to implement teaching practices supported by these approaches and explain, through an illustrative course example, how technology and teaching methods can be used together to promote interaction among learners and help them achieve course goals.
How can research on teaching and learning be used to improve the design of e-content? The contents of this report are based on a series of seminars conducted during 2003 and 2004, funded by the Economic & Social Research Council (ESRC), that were coordinated by Lydia Plowman, University of Stirling. They were also sponsored by a number of organisations including Futurelab. Each seminar was attended by researchers from universities, creators and managers of companies that make educational resources, and people engaged in policy making or representing Government agencies
This collaborative project aims to establish a national computational resource to move the research community much closer to the realization of the goal of the Tree of Life initiative, namely, to reconstruct the evolutionary history of all organisms. This goal is the computational Grand Challenge of evolutionary biology. Current methods are limited to problems several orders of magnitude smaller, and they fail to provide sufficient accuracy at the high end of their range. The planned resource will be designed as an incubator to promote the development of new ideas for this enormously challenging computational task; it will create a forum for experimentalists, computational biologists, and computer scientists to share data, compare methods, and analyze results, thereby speeding up tool development while also sustaining current biological research projects. The resource will be composed of a large computational platform, a collection of interoperable high-performance software for phylogenetic analysis, and a large database of datasets, both real and simulated, and their analyses; it will be accessible through any Web browser by developers, researchers, and educators. The software, freely available in source form, will be usable on scales varying from laptops to high-performance, Grid-enabled, compute engines such as this project's platform, and will be packaged to be compatible with current popular tools. In order to build this resource, this collaborative project will support research programs in phyloinformatics (databases to store multilevel data with detailed annotations and to support complex, tree-oriented queries), in optimization algorithms, Bayesian inference, and symbolic manipulation for phylogeny reconstruction, and in simulation of branching evolution at the genomic level, all within the context of a virtual collaborative center. Biology, and phylogeny in particular, have been almost completely redefined by modern information technology, both in terms of data acquisition and in terms of analysis. Phylogeneticists have formulated specific models and questions that can now be addressed using recent advances in database technology and optimization algorithms. The time is thus exactly right for a close collaboration of biologists and computer scientists to address the IT issues in phylogenetics, many of which call for novel approaches, due to a combination of combinatorial difficulty and overall scale. The project research team includes computer scientists working in databases, algorithm design, algorithm engineering, and high-performance computing, evolutionary biologists and systematists, bioinformaticians, and biostatisticians, with a history of successful collaboration and a record of fundamental contributions, to provide the required breadth and depth. This project will bring together researchers from many areas and foster new types of collaborations and new styles of research in computational biology; moreover, the interaction of algorithms, databases, modeling, and biology will give new impetus and new directions in each area. It will help create the computational infrastructure that the research community will use over the next decades, as more whole genomes are sequenced and enough data are collected to attempt the inference of the Tree of Life. The project will help evolutionary biologists understand the mechanisms of evolution, the relationships among evolution, structure, and function of biomolecules, and a host of other research problems in biology, eventually leading to major progress in ecology, pharmaceutics, forensics, and security. The project will publicize evolution, genomics, and bioinformatics through informal education programs at museum partners of the collaborating institutions. It also will motivate high-school students and college undergraduates to pursue careers in bioinformatics. The project provides an extraordinary opportunity to train students, both undergraduate and graduate, as well as postdoctoral researchers, in one of the most exciting interdisciplinary areas in science. The collaborating institutions serve a large number of underrepresented groups and are committed to increasing their participation in research.
DATE:
-
TEAM MEMBERS:
Tandy WarnowDavid HillisLauren MeyersDaniel MirankerWarren Hunt, Jr.
This project continues the development, testing, and use of a series of web-based computer simulations for improving the teaching and learning of physics. It expands the number of simulations in physics, creates new simulations addressing introductory chemistry, creates simulations addressing the conceptual understanding of equations in solving science problems, and further refines some existing simulations. It increases, by approximately 35, the 35 online interactive simulations that have been developed for teaching physics. The project produces and widely disseminates on-line supporting materials for use in undergraduate and high school science courses. The supporting materials include: guided-discovery, tutorial worksheets; a list of learning goals; materials to support in-lecture, homework, and laboratory use; assessment instruments; and other user-contributed materials. The simulations being introduced and their effectiveness are being evaluated in at least eight additional courses in physics and chemistry at the University of Colorado and a diverse set of partner institutions. The materials are being extensively tested to ensure that they are easy to use and effective at promoting deep conceptual understanding and positive attitudes about science and technology.
DATE:
-
TEAM MEMBERS:
Carl WiemanNoah FinkelsteinKatherine Perkins