scholarly journals Concurrent validity of self-rating scale of self-directed learning and self-directed learning instrument among Italian nursing students

BMC Nursing ◽  
2016 ◽  
Vol 15 (1) ◽  
Author(s):  
Lucia Cadorin ◽  
Su-Fen Cheng ◽  
Alvisa Palese
2021 ◽  
Vol 6 (1) ◽  
pp. 1263-1268
Author(s):  
Namu Koirala ◽  
Shyam P Kafle

Introduction: Self-directed learning is one of the concepts of learning which is mostly used in higher education, especially in the discipline of medicine and paramedics. Objectives: The objectives of this study were to assess the self-directed learning readiness of the undergraduate nursing students and to find out its association with selected demographic variables. Methodology: A descriptive, quantitative, cross-sectional study was undertaken among undergraduate nursing students from three nursing colleges of Eastern Nepal; from January 2019 to August 2020. The nursing colleges were randomly selected; one constituent nursing college and two colleges affiliated to Purbanchal University. Census sampling method was adopted and 565 students were enrolled. Ethical clearance was taken from the Institutional Review Committee of the institute. Data was collected using a self administered, valid and standard tool: Williamson's Self Rating Scale for Self-directed Learning (SRSSDL) via online google forms, then transferred to Microsoft EXCEL. Data analysis was done using SPSS 16.0 version. Mean, median, standard deviation, range, chi-square test, Mann Whitney U test and Kruskal Wallis H test were used for data analysis. Result: Overall Self-directed Learning score was 244.83±30.15. The majority of the respondents (79.3%) had high scores of SRSSDL (221-300) and 20.7% of the respondents had moderate levels of SRSSDL (141-220). The demographic variables didn't exert any significant effect on the overall level of SRSSDL but varied only with the sub-dimensions of SRSSDL. Conclusion: This study shows that overall self-directed learning among nursing students is moderate to high and the subdimensions have significant associations with demographics and academic level.


2019 ◽  
Vol 23 (1) ◽  
pp. 1-11
Author(s):  
Intan Febry Sulasiwi ◽  
Supriyono Koes Handayanto ◽  
Wartono Wartono

This study aims to develop a valid and reliable self-rating scale instrument for measuring Self-Directed Learning (SDL) skills. This DDI study follows the steps of Hinkin’s development (1995) which consists of five stages: creating an item pool, expert conclusion, implementation, confirmatory factor analysis, and reliability analysis. The self-rating scale developed in this study consisted of sixty statements accompanied by a 1-5 Likert scale. Based on the factors analysis, 16 items were still in the draft and 44 items were declared valid and reliable. Five factors that are determined are: awareness (8 items, α = 0.717), learning strategies (9 items, α = 0.806), and learning activities (7 items, α = 0.777), evaluation (8 items, α = 0.790), and interpersonal skills (12 items, α = 0.907). The reliability coefficient (Cronbach Alpha) of the self-rating scale is α = 0.933, with the required reliability criteria is 0.5. On a scale conversion of 1-100, the student’s highest score of SDL skills is 93, and the lowest score SDL skills are 31 (SD = 20.334).


Author(s):  
Masoomeh Adib ◽  
Shahrzad Ghiyasvandian ◽  
Shokoh Varaei ◽  
Zahra Atrkar Roushan

Introduction: Rapid development of knowledge and information in various fields of medical sciences indicates the need to encourage self-directed learning in nursing students to provide quality and updated care. This study examined the relationship between self-directed learning and academic motivation in nursing students. Materials and Methods: Through a descriptive-correlational study, 305 nursing students studying at the Shahid Beheshti School of Nursing and Midwifery, Rasht were recruited by the census in Spring 2015. These students were asked to complete the Self-Rating Scale of Self-directed Learning (SRSSDL) and Academic Motivation Scale (AMS). Instrument reliability of these scales was confirmed in previous studies. Data were analysed by descriptive (mean and standard deviation) and analytic tests (Pearson coefficient of correlation and Chi-square). Results: There is a positive and significant relationship between self-directed learning and academic motivation (r=0.164; p=0.004). Among components of self-directed learning, the highest coefficient of correlation was related to interpersonal skills (r=0.125, p=0.025) and the lowest was related to evaluation (r=0.111, p=0.053). Conclusion: Findings showed a significant relationship between academic motivation and self-directed learning. Planners and decision-makers need to plan for increasing academic motivation of students, facilitating and developing self-directed learning to provide optimal care for patients.


2010 ◽  
Vol 16 (4) ◽  
pp. 363-373 ◽  
Author(s):  
Lucia Cadorin ◽  
Nicoletta Suter ◽  
Luisa Saiani ◽  
Swapna Naskar Williamson ◽  
Alvisa Palese

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