Conference proceeding
An Iterative Mapping Strategy for Improved Curriculum Design and Assessment
IMSCI 10: 4TH INTERNATIONAL MULTI-CONFERENCE ON SOCIETY, CYBERNETICS AND INFORMATICS, VOL I
01 Jan 2010
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The impact of curriculum design on student learning has not been as well studied as other aspects of higher education. Research studies on student learning typically focus on the interplay between student personality and/or cognitive factors and instructional delivery systems within the context of a single course or a course sequence. Such studies provide results related primarily to student achievement within that specific course or sequence. Curricula, however, are complex systems of courses and activities with significant dependencies and interactions. This paper details the methodology used by the School of Biomedical Engineering, Science and Health Systems at Drexel University in collaboration with Untra Corporation to develop a performance criteria-driven alignment and integration of our courses into a competency-based curriculum.
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Details
- Title
- An Iterative Mapping Strategy for Improved Curriculum Design and Assessment
- Creators
- Elisabeth Papazoglou - Drexel Univ, Sch Biomed Engn Sci & Hlth Syst, Philadelphia, PA 19104 USAFred Allen - Drexel University
- Contributors
- J V Carrasquero (Editor)M Holmqvist (Editor)D McEachron (Editor)A Tremante (Editor)F Welsch (Editor)
- Publication Details
- IMSCI 10: 4TH INTERNATIONAL MULTI-CONFERENCE ON SOCIETY, CYBERNETICS AND INFORMATICS, VOL I
- Conference
- IMSCI 10: 4TH INTERNATIONAL MULTI-CONFERENCE ON SOCIETY, CYBERNETICS AND INFORMATICS, 4th
- Publisher
- Int Inst Informatics & Systemics
- Number of pages
- 6
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000391343500011
- Other Identifier
- 991019170338504721
UN Sustainable Development Goals (SDGs)
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Source: SDGs in the Output
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- Web of Science research areas
- Computer Science, Cybernetics
- Computer Science, Theory & Methods
- Engineering, Electrical & Electronic