Showing 3 results for Medical Sciences Students.
Mohammad Saheb Alzamani, Aida Zirak,
Volume 11, Issue 1 (4-2011)
Abstract
Introduction: Test anxiety is a common problem among school and university students. Learning and study strategies as well as stress management strategies can be effective on students’ success and academic achievement .In this study, learning and study strategies, and their relationship with test anxiety has been investigated among students of Isfahan University of Medical Sciences. Methods: This descriptive cross sectional study was conducted on 200 students in Isfahan University of Medical Sciences in May, 2009. Sampling method was Quota and the population studied included BS students of nursing and midwifery, medical library and information science, nutrition and health service management. All students completed Veinstein learning and study strategies questionnaire and Sarason test anxiety inventory. Then, the relationship between the scores was investigated. Data were analyzed by statistical tests of Students-T, ANOVA and Pearson correlation through SPSS version 15. Results: The results showed that the mean scores of 10 domains were as attitude 29, motivation 27, time management 26, anxiety management15, concentration 27, information processing 28, selecting main idea 30, study aids 25, self testing 23, test strategies for learning and studying strategies questionnaire 29. Also, the level of test anxiety was light in 37% of students, moderate in 38.5% and severe in 24.5%. There was a reverse and significant association between all above domains of learning and study strategies and test anxiety (p 0/05). Conclusion: According to the reverse and significant association between using learning and study strategies and test anxiety, these strategies can be taught as a way to decrease test anxiety.
Afzal Akbari Balootbangan,
Volume 14, Issue 9 (12-2014)
Abstract
Introduction: Academic performance in each society reflects the educational system’s success in targeting and paying attention to meet individual needs. Hence, this study aimed to determine the relationship between self-efficacy, achievement goals, and achievement motivation with academic achievement.
Methods: In this correlational study, 400 students were selected through stratified sampling method in 2013 academic year. Participants completed achievement motivation questionnaire, Elliot and McGregor’s achievement goals questionnaire and Schwarzer and Jerusalem’s general self-efficacy questionnaire. Data were analyzed using Pearson correlation and multiple regression.
Results: Results showed that among the investigated variables, self-efficacy and mastery-oriented achievement goals had a significant role in explaining the variance in academic achievement, and could explain totally 41% of the variance in academic achievement. Beta coefficients obtained were (β=0.533 and p=0.0001) and (β=0.223 and p=0.0001) for self-efficacy and mastery-oriented achievement goals respectively.
Conclusion: In general, the results of this study showed that the self-efficacy and mastery-oriented achievement goals have a significant relationship in explaining academic achievement and they can be used for students’ further progress.
Mahshid Tajrobehkar, Somaye Purehsan, Mahboobe Shamsi Nezhad,
Volume 20, Issue 0 (4-2020)
Abstract
Introduction: Positive and negative academic emotions are among the important psychological resources of in educational settings that affect individuals’ activities, such as attention, concentration, and the learning process. This way, this study was conducted to predict positive and negative academic emotions based on personality traits and academic procrastination.
Methods: The population of this correlational this study included all students of Kerman University of Medical Sciences during the academic years of 2019-2020 in which 150 were studied. The instruments included the Academic Emotion, Personality Characteristic, and Academic Procrastination Questionnaires. The analysis of data was done using Pearson correlation significance test and simultaneous regression coefficient.
Results: The results showed that only components of extraversion (P=0/05) and academic procrastination (P=0/000) can significantly predict positive academic emotions (R=0/7). On the other hand, neuroticism and academic procrastination can significantly predict negative academic emotions (P=0/000, R=0/66).
Conclusion: Academic settings affect psychological resources, including academic emotions, and are one of the most important factors influencing psychological well-being. According to the results of the study, it is necessary to consider attention, planning and preventive, and therapeutic interventions under these circumstances.
