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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Urban-Lurain, M. Ebert-May, D. Momsen, J. McFall, R. Jones, M.B. Leinfelder, B. Sticklen, J. |
| Copyright Year | 2009 |
| Description | Author affiliation: National Center for Ecological Analysis and Synthesis, USA (Leinfelder, B.) || Department of Plant Biology, Michigan State University, USA (Ebert-May, D.; Momsen, J.) || Informatics Research and Development, National Center for Ecological Analysis and Synthesis, USA (Jones, M.B.) || College of Engineering, Michigan State University, USA (Sticklen, J.) || Computer Science Department, Hope College, USA (McFall, R.) || Instructional Technology Research & Development, Division of Science and Mathematics Education, Michigan State University, USA (Urban-Lurain, M.) |
| Abstract | One of the challenges of research in science education is storing, managing and querying the large amounts of diverse student assessment data that are typically collected in many Science, Technology, Engineering and Mathematics (STEM) courses. Furthermore, longitudinal studies across courses and ABET accreditation necessitate tracking students throughout their academic programs in which each course will have different types of data. Researchers need to manage, assign metadata to, merge, sort, and query all of these data to support instructional decisions, research and accreditation. To address these needs we have constructed a database to support both data-driven instructional decision making and research in STEM education. We have built upon existing metadata standards to define an extensible Educational Metadata Language (EdML) that enables assessments to be tagged based on taxonomies, standard psychometrics such as difficulty and discrimination, and other data to facilitate cross-study analyses. Once a collection of assessment data are available, faculty can examine their assessment data to evaluate historical trends, analyze the effectiveness of pedagogical techniques and strategies, or compare the performance of different teaching and assessment techniques within their course or across institutions. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 806429 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424447152 |
| ISSN | 01905848 |
| DOI | 10.1109/FIE.2009.5350595 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-10-18 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Databases Accreditation Educational programs Technology management Engineering management Educational technology Data engineering Mathematics Decision making Taxonomy STEM Education Research Assessment Database Infrastructure Interdisciplinary |
| Content Type | Text |
| Resource Type | Article |
| Subject | Education Computer Science Applications Software |
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