, distance is not considered and despite the visible dissimilarity between profiles on the right plot, entities would likely be assigned membership to the same cluster. 2) Euclidean distance. An intuitive measure for distance, Euclidean distance is the straight- line distance between two points in multidimensional space. It is calculated using 𝑑𝐸 (𝑝, 𝑞) = √(𝑝1 − 𝑞1 )2 + (𝑝2 − 𝑞2 )2 + ⋯ + (𝑝𝑛 − 𝑞𝑛 )2 where n represents the number of dimensions or variables being considered and p and q represent the respective measures of two points on each of the dimensions. A variation on this distance is the Squared Euclidean distance which eliminates the square root
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integratestudent-centered strategies into their instruction. Together, the TPI, COPUS, and instructor profiles offer a multidimensional method for assessing anddiscussing teaching effectiveness. Based on the shortcomings of teaching evaluations, the benefits ofimplementing evidenced-based practices in teaching, and the opportunity to use such teaching practices asa proxy for evaluating the effectiveness of teaching, we set out to test the feasibility and effectiveness ofthis method of evaluation in a College of Engineering at a large research-intensive Midwestern university. III. PUPROSE & RESEARCH Q UESTIONSA. Purpose The purpose of this project was to evaluate the implementation of new approach to the
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