Abstract
In general, lecture evaluation has been used in most universities as an important criterion to evaluate quality of education. This study is exploratory research on the predictors that determine lecture evaluation in college of engineering to give practical implications for improvement of engineering education. For the exploration of predictors of lecture evaluation, the data of lecture evaluation in A College of Engineering located in the metropolitan area was used, and Decision Tree Analysis was utilized as an analysis method. As a result, the characteristics of students turned out to be the most distinct predictor comparing with those of course and instructor at lecture evaluation in college of engineering. That is, as various elements other than teaching competency influence lecture evaluation in college of engineering, it is necessary to be more careful in evaluating quality of lecture or teaching competence. Thus, a follow-up study should be conducted to adjust the influence by the predictors that instructors can hardly control.