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| - The [Faculty Institutes for Reforming Science Teaching (FIRST)|http://www.first2.org] project builds upon the results and innovations from FIRST II as one of the components of the NSF Cyclic Model for knowledge production and improvement of practice in undergraduate STEM education. We are constructing a database to support research on undergraduate STEM education. The database supports storing, searching and analyzing assessment data from undergraduate STEM courses. This database will facilitate both data-driven instructional decision making and research in science education. Our goals for this database are to: |
| + [Faculty Institutes for Reforming Science Teaching (FIRST)|http://www.first2.org] 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: |
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| - We have partnered with the National Center for Ecological Analysis and Synthesis (NCEAS) to build upon their database and metadata infrastructure for managing Ecological data. FIRST III is building upon existing metadata standards (e.g., Ecological Metadata Language, IMS, Dublin Core) to define an extensible Educational Metadata Language (EdML) for describing a wide variety of assessment data types and metadata about those assessments. This will allow assessments to be tagged based on taxonomies, standard psychometrics such as difficulty, discrimination, and other data to facilitate cross-study analyses. \\ |
| + 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.\\ |
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| - We have begun the preliminary design work for 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. \\ |
| + 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. \\ |
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| - We are using a large variety of assessment data collected at Michigan State University as part of 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. We will incorporate the data from this proposed project, along with our other data sets, into this assessment database. \\ |
| + 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. \\ |
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| - Mark Urban-Lurain\\ |
| - urban@msu.edu\\ |
| + Mark Urban-Lurain, urban@msu.edu\\ |
