Ecoinformatics site parent site of Partnership for Biodiversity Informatics site parent site of FIRST - Home





Difference between version 34 and version 1:

Line 1 was replaced by lines 1-14
- REAP is an NSF-funded cyberinfrastructure project designed to provide scientists with an analysis and modeling tool that can easily integrate distributed heterogeneous data streams for use in simulation and forecast models. This near real-time environment for analytical processing will provide an open-source, extensible and customizable framework for designing and executing scientific models that consume data streams from sensor networks. Project investigators will combine the real-time data grid being constructed through other projects (ROADNet, CENS ESS, OPeNDAP, EarthGrid) with the scientific workflow system [Kepler|]. These open-source software frameworks represent considerable prior investments. Kepler will be extended to meet the needs of scientists that analyze and model observatory data, systems engineers that create and maintain observatory sensor networks, and the public that accesses data and results from observatories.
+ [Faculty Institutes for Reforming Science Teaching (FIRST)|] has engaged faculty from over 50 institutions in professional development focused on active, inquiry-based teaching designed to improve student learning. We are building on the outcomes of FIRST to construct a database to support research on undergraduate STEM education. The database will support storing, searching and analyzing assessment data from undergraduate STEM courses and will facilitate both data-driven instructional decision making and research in science education. Our goals for this project include:
+ #developing faculty expertise in assessing student learning; and,
+ #evaluating innovations based on analyses of these data. \\
+ In a partnership with the National Center for Ecological Analysis and Synthesis (NCEAS), we are building on existing metadata standards (e.g., Ecological Metadata Language, IMS, Dublin Core) to define an extensible Educational Metadata Language (EdML). Such a tool provides a language to describe a wide variety of assessment data types and metadata about those assessments. This will enable assessments to be tagged based on taxonomies, standard psychometrics such as difficulty and discrimination, and other data to facilitate cross-study analyses.\\
+ We have begun preliminary design work for both the EdML and evaluation of EML, IMS and the NCEAS database tools to adapt them for our purposes. We continue to meet with the project metadata advisory committee to review draft documents and prepare the preliminary draft of the EdML standards. \\
+ A large variety of assessment data, collected at Michigan State University and across the nation, are informing the design specifications for developing both the Educational Metadata Language to describe the assessment data, and to test and evaluate the database backend and front-end tools we are building. \\
+ For more information, please contact:\\
+ Mark Urban-Lurain,\\
+ Or view our poster, available for download, dissemination and review.

Back to FIRST, or to the Page History.