The impact of the learning contract on self-directed learning and satisfaction in nursing students in a clinical setting.

Med J Islam Repub Iran 2017;31:72. Epub 2017 Dec 7.

Academic Member of Traditional and Complementary Medicine Research Center, Department of Medical - Surgical, School of Nursing & Midwifery, Arak University of Medical Sciences, Arak, Iran.

The most important responsibilities of an education system are to create self-directed learning opportunities and develop the required skills for taking the responsibility for change. The present study aimed at determining the impact of a learning contract on self-directed learning and satisfaction of nursing students. A total of 59 nursing students participated in this experimental study. They were divided into six 10-member groups. To control the communications among the groups, the first 3 groups were trained using conventional learning methods and the second 3 groups using learning contract method. In the first session, a pretest was performed based on educational objectives. At the end of the training, the students in each group completed the questionnaires of self-directed learning and satisfaction. The results of descriptive and inferential statistical methods (dependent and independent t tests) were presented using SPSS. There were no significant differences between the 2 groups in gender, grade point average of previous years, and interest toward nursing. However, the results revealed a significant difference between the 2 groups in the total score of self-directed learning (p= 0.019). Although the mean satisfaction score was higher in the intervention group, the difference was not statistically significant. This study suggested that the use of learning contract method in clinical settings enhances self-directed learning among nursing students. Because this model focuses on individual differences, the researcher highly recommends the application of this new method to educators.

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Source
http://dx.doi.org/10.14196/mjiri.31.72DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5804469PMC
December 2017
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