教學評鑑的實施在引導教師精進教學，進而提昇學生學習成效，而教學評鑑工具則是達成教學成效目標的利器。在當前重視學習者中心與學習成效的高教評鑑趨勢下，觀諸目前各校所發展的教學評鑑量表仍主要以教師教學投入為導向，對學生學習成效的關注較顯不足。本研究首先發展「教師教學投入」與「學生學習成效」整合取向的教學評鑑量表，並進行實徵資料蒐集，經分析發現整合取向評鑑量表具備良好的測量品質。其次，實際應用此新取向評鑑量表，可發現學生都相當肯定教師的教學表現，但學生的自我學習成效則未臻理想。進一步應用資料包絡分析法，根據教師教學投入及學生學習成效表現，進行課程與教學的實施績效評估。結果發現已有七成課程達到規模效率，不過，仍約有八成多的課程未達到整體效率，近八成未達技術效率，顯示學校課程的設計、實施或評量仍有改善空間。

The implementation of instructional evaluation is to guide teachers to improve/advance their teaching and thus enhance students’ learning. Instructional evaluation is considered a powerful tool for achieving instructional objectives. In Taiwan, learner-centered instruction and students’ learning outcome are the current focuses of higher education evaluation. However, almost all current instructional evaluation tools used in most universities have placed their focus mainly on teachers’ instructional input, and not so much on students’ learning outcome. This study developed a new instructional evaluation scale, which took into account both “teachers’ instructional input” and “students’ learning outcome”. The psychometric properties of the scale were also examined by collecting and analyzing the empirical data. The findings revealed that students tended to rate their teachers’ performance much higher than their self-reported learning outcome. Moreover, by adopting the data envelopment analysis (DEA) method, this study further examined the efficiency of course implementation based on two aspects: “teachers’ instructional input” and “students’ learning outcome”. The results showed that more than 70% of the courses achieved scale efficiency. However, more than 80% of the courses were found to be overall inefficient, and nearly 80% of the courses were technically inefficient. The findings suggested that there is still room for improvement in the current curriculum design, implementation and evaluation.

教學評鑑量表、資料包絡分析法、課程實施效率、學生學習成效、驗證性因素分析

instructional evaluation scale, data envelopment analysis (DEA), efficiency of course implementation, students’ learning outcome, confirmatory factor analysis (CFA)