The new teaching approach that we are currently developing to teach digital image processing classes in the Quantitative Imaging Electronic Classroom clearly reflects the above stated teaching philosophy. Thanks to the new opportunities, the educational process is very dissimilar to that we used in the same classes in previous years. Lectures are built as a mixture of presentation of concepts, immediately followed by examples, and practical exploratory problems. Examples serve to clarify the presented concepts and often invoke a dialogue between the instructor and students. As frequently as appropriate, examples are followed by problem solving periods that are often only 3-5 minutes long during which the students actively solve a problem posed by the instructor.
Students create programs using visual programming approaches.
Students achieve a much deeper, hands-on, practical and therefore more permanent understanding of the image processing concepts. Importantly, this teaching strategy offers direct feedback to the instructor about student learning and allows the instructor to correct conceptual errors by each individual student within the time-frame of a common lecture. Consequently, the homework assignments may be more demanding than usual without the danger of being unrealistically difficult.