درخت حوزه‌های تخصصی

Dyslexia is a neuro-sensory issue that makes reading challenging. However, Dyslexic Phonemic R3 is a novel approach that improved the phonological development and resolved the reading challenges of dyslexia. The primary goal of the study was 1) to evaluate the current state of the phonemic and auditory symptoms of children with dyslexia and 2) To study the effects of the Dyslexic Phonemic R3 Approach on the reading development of children with dyslexia. The Dyslexic Phonemic R3 Approach was the only experimental group in the case study, which examined the prevalence of dyslexia among the participants. There was no control group. 45 students with dyslexia were the participants chosen from thirty schools in the Indian town of Silchar. These adolescents were chosen from a population of 12–13-year-olds with auditory and phonemic deficiencies after getting the consents of their parents. The Dyslexic Phonemic R3 Approach significantly improved the reading, and spelling habit of student with dyslexia. The dyslexic phonemic R3 approach was developed in Assam University, Silchar, India by Dr. Ananta Kumar Jena. Vowels in this context are phonemic patterns that are primarily divided into two types: long and short vowels, and syllables (closed and open). In many situations, short vowels are most frequently utilised. The Dyslexia-Phonemic R3 technique uses these three procedures to diagnose dyslexia.

The aim of the current research is to identify the futures of marketing in the banking industry with a focus on blockchain technology. The current research is applied in terms of direction and has a mixed methodology due to the use of qualitative and quantitative methods together. The theoretical population of the research was experts in banking marketing and digital financial technologies, especially blockchain, and the sampling method was done in a judgmental method. The sample size in this study was equal to 15 people. For data analysis, meta synthesis methods, Binominal's statistical test, developed Copras and root definitions tool were used. The tools of data collection in this research were interviews and questionnaires (expert evaluation and priority evaluation questionnaires). 47 drivers were extracted from meta synthesis and these drivers were classified into nine main drivers. The drivers of the research were screened in two stages using theory-based inference screening and Binominal's test, and 12 drivers were considered for prioritization using the Copras technique. The remaining drivers were evaluated using the Copras technique and three criteria of importance, degree of certainty and experts' expertise. The findings showed that the drivers of marketing researchers' interest in digital financial technologies and blockchain and the development of decentralized banking had the highest priority and were selected for scenario planning. Based on these two drivers, four scenarios of crypto bank, conservative banking, pioneer banking and traditional banking were developed. The research proposals were proposed based on the important drivers and the desired scenario (crypto bank).

Purpose: This research was conducted with the aim of identification and analysis of effective factors on the strategic intelligence of education districts managers of Tehran city and provides an appropriate model. Methodology: The present study in terms of purpose was applied and in terms of implementation method was descriptive from type of quantitative. The study population was managers, deputies and experts of the education nineteen districts of Tehran city in 2020 year, which based on the Krejcie and Morgan table the sample size was estimated 120 people who were selected by randomly sampling method. The research instrument was a researcher-made questionnaire of effective factors on the strategic intelligence of managers (113 indicators) which after two Delphi rounds with Kendall coefficient of 0.678 was designed by 15 experts and its content validity was confirmed by experts and its reliability was calculated by Cronbach's alpha method 0.921. Data were analyzed by exploratory factor analysis and structural equations modeling in SPSS-22 and Smart PLS-3 software. Findings: The findings showed that the effective factors on the strategic intelligence of managers had 113 indicators in 21 components and 2 dimensions; So that the intra-organizational dimension were included 11 components of intelligent planning, support processes, communication processes, power of change and transformation, knowledge management, educational intelligence, moral intelligence, informational intelligence, organizational process intelligence, human resource intelligence and financial resources intelligence and extra-organizational dimension were included 10 components of business intelligence, environmental intuition thinking, technological intelligence, planning intelligence, social intelligence, competitors intelligence, policy-making, communication with people intelligence, targeting intelligence and environmental macro intelligence. Also, the factor load of all dimensions and components was higher than 0.40, their average extracted variance was higher than 0.50 and their reliability was higher than 0.70. In addition, the model of effective factors on the strategic intelligence of education districts managers had a good fit and the model had a significant effect on the intra-organizational and extra-organizational dimensions and the mentioned dimensions on the relevant components (P<0.05). Conclusion: The results showed two dimensions of intra-organizational and extra-organizational for the model of effective factors on the strategic intelligence of education districts managers. Therefore, to increase and enhance their strategic intelligence can be done by improving the dimensions and components of each of them.