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Showing 3 results for Conceptual Model
Developing the Conceptual Model of Research Problem Finding Using Directed Content Analysis
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.
 
Presenting a conceptual model of self-care information to patients in Iranian medical information system
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.
Evaluation of the E-Learning System at Kharazmi University Based on the HELAM Conceptual Model
Niusha Bagheri, Margan Kian, Masoud Gramipour, Vaghar Ali Ali Azimi, Youssef Mahdavi Nesab,
Volume 11, Issue 3 (12-2024)
Abstract
Objective: Virtual classes, virtual schools, smart schools, and virtual universities, and generally, electronic learning, are considered reliable capacities and capabilities for developing academic skills. The aim of this study is to evaluate the e-learning program at Kharazmi University using the HELAM conceptual model.
Method: This research is practical in terms of its objective and descriptive-survey in terms of method. A quantitative approach was used to collect data. The statistical population consisted of postgraduate students at Kharazmi University. The sample size was 536 postgraduate students, and stratified random sampling was used. A standardized researcher-made questionnaire was used for data collection. The main structure of the questionnaire is based on the HELAM model, along with an additional “overall satisfaction” factor, which was adapted and translated using specialized literature and relevant research. For data analysis, various statistical tests including one-sample t-test and one-way ANOVA in SPSS, and confirmatory factor analysis in R software were used.
Findings: The results indicated that the status of Kharazmi University’s e-learning program, evaluated using the HELAM conceptual model and its seven aspects (student attitude, instructor attitude, system quality, content quality, service quality, support issues, and overall satisfaction), is significantly above the community average with over 99% confidence. Moreover, the support issues aspect showed a significant difference compared to other dimensions, followed by content quality and service quality, which are close to each other and separated from other sub-scales, while system quality, instructor attitude, overall satisfaction, and student attitude have the lowest mean rankings.
Conclusion: Managers and experts at the Information and Communication Technology Center of Kharazmi University should take measures to improve system quality, instructor attitude, overall satisfaction, and student attitude aspects to enhance their performance in parallel with support issues.

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