Showing 3 results for Conceptual Model
Mostafa Baghmirani, Mohammad Reza Esmaili Givi, Mohammad Hassanzadeh, Ali Reza Noruzi,
Volume 4, Issue 3 (12-2017)
Abstract
Background and Aim: This study aims to introduce a developed conceptual model of problem finding.
Methods: This article is carried out by utilizing qualitative directed content analysis. The researcher used this method to gather new knowledge on the four features of problem finding. In total, 17 scientific sources were analyzed.
Results: This research revealed 182 codes, 22 themes that outline issues related to the research problem finding. Personality feature extended in five dimensions; psychological feature extended in four dimensions; thinking feature (creative thinking) extended in six dimensions and (critical thinking) extended in two dimensions; and educational feature extended in five dimensions.
Conclusion: Based on available data, the number of factors identified in this study is greater and more comprehensive than that of any previous research. It could provide an added value to the current researches about problem finding. This study has also developed the previous conceptual model and utilized a directed content analysis method that has never been conducted to date in the field of problem finding.
Zahra Khajeali Jahantighi, Zahra Abazari, Zohreh Mirhosseini, Fahimeh Babalhavaeji,
Volume 8, Issue 3 (11-2021)
Abstract
Background and Aim: The aim is to provide an appropriate patients informative model of self-care for the medical information system of the country.
Methodology: This is an applied survey research. Through Cochran's formula sample of 356 individuals were selected from the population of 5,000 individuals. Khajeh Ali (et al., 2020) Qualitative Standard Research Questionnaire (with 2 dimensions, 14 components and 92 questions) was used.
Findings: It was revealed that all parameters of the self-care informing factor analysis model of patients in the medical informing system are significant at 95% confidence level and the model has a good fit. Also, care of medical services has a weight of 0.422, the correction component is 0.924 and behavioral care is 0.417. Meanwhile, 0.92 for the component of participation in care, 0.897 for prevention, for the component of personal cares, 0.482, and 0.448 for the component of satisfaction, 0.502 for the component of environmental cares and 0.852 for health have been acquired. Regarding the information dimension, 0.907 for science and knowledge component, 0.852 for processing, 0.887 for news distribution, and 0.798 for knowledge have been acquired. In addition, for the dimensions of information and self-care, weights of 0.69 and 0.77 were obtained, respectively.
Conclusion: Chronic care is the duty of the primary care team with physicians giving extensive part of their time. Since patient care occurs in service delivery units - part of health system and of a larger community – ensuing participatory care. Information behavior research is to help science professionals to be knowledgeable about the information needs of their target community to make the required planning to offer information resources for patient self-care of the country. Obtained model could bring promising result in the medical information system.
Niusha Bagheri, Margan Kian, Masoud Gramipour, Vaghar Ali Ali Azimi, Youssef Mahdavi Nesab,
Volume 11, Issue 3 (12-2024)
Abstract
Purpose: Institutions such as virtual classes, schools, and universities are essential tools for enhancing academic skills. This study aims to investigate the effectiveness of Kharazmi University's e-learning program by applying the HELAM conceptual model as a framework for evaluation.
Research method: This study employed a survey research design. The target population consisted of graduate students at Kharazmi University, from which a random sample of 536 postgraduate students was selected using stratified random sampling method. A researcher-made questionnaire, based on the HELAM model and supplemented with an "overall satisfaction" factor, was used to collect data. The questionnaire was refined and translated using specialized texts and relevant research literature. Data analysis was conducted using various statistical tests, including one-sample t test and one-way analysis of variance (ANOVA) in SPSS software, as well as confirmatory factor analysis in R software.
Findings: The findings revealed that Kharazmi University's e-learning program, as evaluated using the HELAM conceptual model, exceeded the societal average in all seven dimensions with a high degree of confidence (>99%). Notably, the support issues dimension stood out as significantly different from the others. The dimensions of content quality and service quality were found to be closely related, yet distinct from the other subscales. Finally, the dimensions of system quality, professors' attitude, overall satisfaction, and student attitude had the lowest average rankings
Conclusion: To further enhance the e-learning program, the managers and experts at Kharazmi University's Information and Communication Technology Center should focus on improving the system quality, professors' attitude, overall satisfaction, and student attitude dimensions. By doing so, they can elevate the performance of these areas to match the already strong support issues dimension, ultimately leading to a more comprehensive and effective e-learning experience.
