Browsing by Author "Simsek, HN"
Now showing 1 - 2 of 2
Results Per Page
Sort Options
Item Evaluation of the clinical self-efficacy of postgraduate midwifery students who took courses related to biochemistry: a cross-sectional studyKosova, F; Simsek, HN; Çelik, NObjectives Postgraduate midwifery students learn the science and art of midwifery in clinical settings through the integration of evidence-based knowledge, practical skills, quality of care, and personal attitudes. These personal attitudes are confidence, intuition, problem solving, critical thinking, and self-efficacy. This study's goal was to evaluate the clinical self-efficacy of midwifery students who took courses related to biochemistry in the postgraduate education program. Methods A cross-sectional design was used in the study. In the study, data collection was performed using surveys from students in the postgraduate midwifery education program. The study data were collected by employing the Introductory Information Form and the Self-efficacy for Clinical Evaluation Scale. Data evaluation was performed by number, percentage, mean, and correlation test. Results It was revealed that 67.7% of midwifery students who took the courses were postgraduate students in the thesis stage, 41% of them worked in secondary health services, and 51.6% of them had a clinical experience of 5 years and more. The total score of the self-efficacy perception subscale was 4.22 +/- 0.49 (1-5), whereas the total score of the perceived confidence subscale was 4.57 +/- 0.45 (1-5). There was a statistically significant correlation between the self-efficacy subscale and the importance subscale. Conclusions The results indicated that postgraduate midwifery students had high clinical self-efficacy scores. We think that the elective courses related to biochemistry in the postgraduate midwifery education program may have positively affected their clinical skills. We anticipate that it will be appropriate to conduct research with a larger sample size to examine the effect of postgraduate midwifery education on students' clinical self-efficacy.Item Evaluation of midwifery students' learning approaches to the compulsory biochemistry courseKosova, F; Çelik, N; Simsek, HN; Ulas, SCObjectives Learning approach in a certain learning process is based on the student's intentions, behaviors, and habits according to his/her perceptions of the task of learning and determines the amount and quality of learning. The objective of this study is to evaluate the learning approaches of 1st and 4th grade midwifery students to biochemistry course and the change, if there is any, through their education. Methods This is an observational, cross-sectional study. The research population consisted of the voluntary students (86.47%, n:147) of the 2017-2018 season of the 1st and 4th class of Manisa Celal Bayar University, Health Science Faculty, Midwifery Department (n:170). Data were collected by using the Introductory Information Form and the Learning Approach Scale, and evaluated in the SPSS package program by performing number, percentile, mean, standard deviation, independent t test. Results The mean age of the students was 20.82 +/- 1.81. Over 95% of the students stated that biochemistry lesson was necessary, while 59.9% reported that their biochemistry knowledge was insufficient. Over 87% of the student expressed their belief that the content of the biochemistry classes will help them in their professional career. Mean score of deep approach for Learning Approach Scale was 34.13 +/- 6.07 (Min:19.00-Max:50.00), and mean score of superficial approach for Learning Approach Scale was 26.94 +/- 6.37 (Min:15.00-Max:50.00). There was a significant relation between deep approach scale score and the perception of high importance of biochemistry in the professional life (p<0.05). Conclusions Midwifery students, who believe that biochemistry is necessary for their professional career have a higher motivation for learning biochemistry, thus perform a deeper approach to learning. In general, creating effective and dynamic educational environments that support deep learning is necessary for enhancing the learning of biochemistry.