روانشناسی یادگیری
Roghaye Asadi; jalil Younesi; Mohammad Asgari; ٍEnayatollah Zamanpour
Abstract
The goal of this research was to create and develop a combined test specification table based on the approaches of "Marzano and Kendall" and "Anderson et al." for the sixth-grade basic science curriculum, using a research and development methodology. The study population encompassed all web-based testing ...
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The goal of this research was to create and develop a combined test specification table based on the approaches of "Marzano and Kendall" and "Anderson et al." for the sixth-grade basic science curriculum, using a research and development methodology. The study population encompassed all web-based testing tools and experts in the fields of assessment and measurement, software, and science. This article outlines two phases of the research and development process, taking an architectural perspective into account. The first phase involved a thorough analysis of needs and background, while the second phase encompassed the design, architecture, and formative evaluation. In the initial phase, we examined research literature and software related to question design. In the subsequent phase, two software prototypes developed. The first prototype established the initial software framework based on a combined approach, employing artificial intelligence chatGPT-4 to generate 406 behavioral verbs and 5137 behavioral objectives, which their validity confirmed by assessment and measurement experts. In the second prototype, the software architecture was designed as a web application using the PHP language for the backend, the Laravel framework, JavaScript language, and the React framework for the frontend, along with a MySQL database and the REST protocol for server communication. This phase also addressed and resolved the initial sample's issues and bugs. Furthermore, the input and feedback from other experts were incorporated into the final design.
Roghiyeh Asadi; Nasrin Asadi
Abstract
The goal of this research was to predicting general health using individual variables, self-efficacy and anxiety in covid-19 healthcare workers in Kermanshah city. The population included all covid-19 healthcare workers in Kermanshah city and the sample included 3 hospitals covid-19 healthcare workers, ...
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The goal of this research was to predicting general health using individual variables, self-efficacy and anxiety in covid-19 healthcare workers in Kermanshah city. The population included all covid-19 healthcare workers in Kermanshah city and the sample included 3 hospitals covid-19 healthcare workers, sampling method was according Convenience Sampling method and the sample size was 170. The instruments included: general health questionnaire GHQ-12, general self-efficacy scale (GSES), and anxiety subscale of depression, anxiety and stress scale (DASS). Reliability analysis confirmed internal consistency and the results showed that education has significance negative correlation with anxiety (r=-0.27), but there is ni difference between sex groups in psychological variables used in the research. The fitted indices confirmed the fitting between data and model designed and the model explain about 40% of variances of the general health in covid-19 healthcare workers. Using this results we can improve the efforts to increase the general health and decrease the anxiety in covid-19 healthcare workers.
