Items Selection for Affective Instruction Evaluation and Chosen Items’ Weighting Determination on Engineering Instruction

1 Bao Rong Chang, Cheng Shiu Institute of Technology, Dept. of Electrical Engineering, 840 Cheng-Ching Rd., Neau-Song Hsiang, Kaoshiung, Taiwan Abstract  The traditional affective instruction evaluation on engineering education has contained two separate sections, (I) Section I: Student self-evaluation (include 10 items) and (II) Section II: Evaluation of the instructor’s teaching (include 10 items). These 20 items were usually determined by some of the experts or researchers on the affective instructional domain. However, some of items within two sections introduced above could be out of date as time goes by. In another words, some of items might be eliminated, or some of items would become more significant impact due to its availability on affective instruction evaluation. The significant items in evaluation list first were selected by utilized grey statistics technique so that the significant items could be retained and the redundant items were eliminated. Secondly, an optimal grey relational grade, combined by the grey approximation grade and the grey similarity grade, was applied to measure the non-linear relation for items within evaluation list such that the nonlinear relation for items was achieved to determine the weight of each left item on evaluation. These methods provide us not only in qualitative but also in quantitative analysis to improve and promote the instruction activity on engineering education for accomplishing the objective of instructions.