Akram Sanagoo - Ph.D. in nursing Education, Assistant Professor of Community Health Dept., Medical Education Development Center, Golestan University of Medical Sciences, Golestan, Iran
Leila Joibari - Ph.D. in Nursing Education, Assitant Professor of Pediatric Nursing Dept., School of Nursing, Golestan University of Medical Sciences, Golestan, Iran

Background & Objective: Evaluation of academic staff is conducted in different ways One of these methods which are commonly applied nowadays is asking students (the only group that experience the direct effect of teaching during the course) about their opinions Hence this study was conducted to present the students viewpoints about the evaluation of academic staffs performance using evaluation forms Methods: In this qualitative using phenomenology ۴۰ students of nursing midwifery medicine and allied health sciences from different semesters were participated in individual semistructured interviews and group discussions in order to understand their viewpoints and experiences about evaluation of academic staff in theoretical courses The interviews were taperecorded and transcribed verbatim The data was analyzed using the content analysis method Results: Our findings suggest that although the students are in agreement with evaluating the academic staff they are reluctant to fill in the forms and stated that the current situation is not satisfactory Change relativity a student as a judge noneffective time open doors effective question and noneffective question represent students viewpoints and experiences about evaluating academic staff in theoretical courses using evaluation forms The participants emphasized the evaluation should be used as a positive reinforcement for improving education quality Conclusion: Academic staff is the main elements in students learning and could act inhibitors and facilitators By teaching evaluation one can make changes or corrections in further programs Meanwhile creative interventions are essential to satisfy students

evaluation, Academic staff, Student, content analysis