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• W2336769876 abstract "The current student population in higher education consists of a diverse and rapidly changing collection of individuals with different personalities, learning styles, values and backgrounds. Learning is a highly personal activity and how any given student responds to a learning opportunity will depend on their individual characteristics. It is highly improbable, therefore, seems unlikely that optimal learning outcomes can be achieved by using only a single instructional style in such a varied and variable student population. A better approach would be to provide a diverse set of instructional methods matched to the diversity of the target audience. To create such a personalized level of instruction, a greater understanding of the students’ personalities, learning styles and values is needed. As a first step, we applied a battery of various learning and personality tests to a segment of the undergraduate population of biomedical engineering students at Drexel University in order to obtain some sense of the level of diversity in this group. We uncovered considerable complexity, more than any one measure could adequately capture. Our findings indicate multiple assessments can provide valuable information that can be used by instructors to customize teaching methods to match relevant student attributes." @default.
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• W2336769876 date "2011-01-01" @default.
• W2336769876 modified "2023-09-26" @default.
• W2336769876 title "Who Are Our Students? A Multi-Assessment Approach to Characterizing an Undergraduate Biomedical Engineering Student Population" @default.
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