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Articles 1 - 3 of 3
Full-Text Articles in Medicine and Health Sciences
Vr Projects, P.D. Quick
Vr Projects, P.D. Quick
SWITCH
A description of three three projects having to do with virtual reality. The first is the Nanomanipulator, developed at the University of North Carolina Chapel Hill Department of Computer Science in conjunction with the UCLA Department of Chemistry in 1991. It is a machine that allows the user to interact with microscopic particles previously only visible in 2D from an electron microscope. The second project, The Augmented Reality Project, also developed at the Chapel Hill Department of Computer Science. This device used ultrasound images to be placed over a body allowing the user to see inside of it. The final …
Student Evaluations Of Teaching Effectiveness: The Interpretation Of Observational Data And The Principle Of Faute De Mieux, B. Burt Gerstman
Student Evaluations Of Teaching Effectiveness: The Interpretation Of Observational Data And The Principle Of Faute De Mieux, B. Burt Gerstman
Faculty Publications
Student opinion surveys are important but widely misunderstood tools for evaluating teaching effectiveness. In this brief review, an analogy is drawn between the use and interpretation of observational data for public health and biomedical research and the use of student opinion data in evaluating teach ing effectiveness. Sources of systematic error in the form of selection bias, information bias, and confounding are defined and illustrated. Original data concerning intermittent "quid pro quo" confounding (i.e., the effect of expected grades on student evaluations of teaching) are presented. Finally, the principle of faute de mieux ("lack of anything better") and the interpretation …
Student Evaluations Of Teaching Effectiveness: The Interpretation Of Observational Data And The Principle Of Faute De Mieux, B. Burt Gerstman
Student Evaluations Of Teaching Effectiveness: The Interpretation Of Observational Data And The Principle Of Faute De Mieux, B. Burt Gerstman
B. Burt Gerstman
Student opinion surveys are important but widely misunderstood tools for evaluating teaching effectiveness. In this brief review, an analogy is drawn between the use and interpretation of observational data for public health and biomedical research and the use of student opinion data in evaluating teach ing effectiveness. Sources of systematic error in the form of selection bias, information bias, and confounding are defined and illustrated. Original data concerning intermittent "quid pro quo" confounding (i.e., the effect of expected grades on student evaluations of teaching) are presented. Finally, the principle of faute de mieux ("lack of anything better") and the interpretation …