Sara Agha Babaei, Sholeh Amiri,
Volume 2, Issue 4 (2-2015)
Abstract
The aim of this research was to investigate visual-spatial component of working memory and short-term memory in students with learning disorders and comparison with normal students.
30 3rd grade elementary students with learning disorders and 10 3rd grade elementary normal students were selected through multistage random cluster sampling. The instruments were Scale for Identifying Students with Spelling Learning Disability, Keymath Test, Reading Level Diagnostic Test, Wechsler Intelligence Scale for Children (WISC), Clinical Interview and Corsi Blocks Task for assessing visual-spatial component of working memory and short-term memory. Data were analyzed by ANOVA. The results showed that there is a significant difference between students with reading, mathematics and spelling learning disorders and normal students in visual-spatial component of working memory and short-term memory. Students with mathematics disorder had lower performance in these components. Students with learning disorders particularlymathematics disorder had deficits in visual-spatial component of working memory and short-term memory. This problem should be assessed in order to plan appropriate interventions.
Hasan Mahjoob, Mitra Ezati, Mohammad Babaei,
Volume 13, Issue 1 (Volume 13, Issue 1, Spring 2025 2025)
Abstract
The aim of the present study was to design a cognitive motivation model related to the financial decisions of university entrepreneurs at the University of Tehran. The research method was exploratory mixed and using the content analysis method through the qualitative software Max-Quda. The field of study and participants were university entrepreneurs at the University of Tehran, 16 of whom were selected purposefully and snowballed and in-depth interviews were conducted. In the second stage of the research, the model designed in the qualitative stage was tested quantitatively. The statistical population of the study included 185 university entrepreneurs located in the Science and Technology Park of the University of Tehran, of which 125 were selected as a sample by simple random sampling. Structural equations and PLS software were used to examine the relationships expressed in the model. Findings: The qualitative results showed that "entrepreneurial financial decision-making motivation" was identified as a cognitive motivation factor and 3 components were identified as "tolerance of financial decision-making process uncertainties", "financial self-efficacy in decision-making", and "entrepreneurial cognitive motivation". In the quantitative part, the structural equation model was used for evaluation and showed that the model has a strong fit.
