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MEJDS (2020) 10: 101 |
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Mojallal Chibigloo M A, Asadzadeh S, Ghorbani M. Teachers’ Professional Knowledge on Identifying Dyslexic Students. MEJDS 2020; 10 :101-101
URL: http://jdisabilstud.org/article-1-1173-en.html
URL: http://jdisabilstud.org/article-1-1173-en.html
1- Islamic Azad University, Bonab Branch
Abstract: (2745 Views)
Background & Objectives: Learning disability encompasses a broad range of academic problems, and its full understanding requires attention to the social, emotional, and behavioral aspects of the child's life. This term emerged from the need to identify and serve students who consistently fail their tasks, i.e., not specified within the traditional context of exceptional children. The present research aimed to investigate the role of teachers' professional knowledge in identifying students with learning disabilities.
Methods: The present research was of applied nature in terms of its purpose and applied descriptive and survey methods. The statistical population of the current study included primary school teachers in Maragheh City (N=1000). The sample size was calculated as 278 by Cochran, and they were selected by stratified random sampling technique. In the present study, the evolution model of Beyerman and Boehman (2005), as well as Manis and et al. (2007), was presented to examine the role of teachers' professional knowledge in identifying students with learning disabilities in the Education Department of Maragheh City, Iran, in 2017. The data gathering tool was a standard questionnaire. After measuring the scale’s validity and reliability, it was provided to the statistical sample for completion. To determine the scale’s validity, its face and content validity was established. To test the reliability of the questionnaire, Cronbach's alpha coefficient method was used. The value of these statistics for teachers' professional knowledge questions and the identification of students with learning disabilities were equal to 922.0 and 946.0, respectively. Descriptive and inferential statistics were implemented to analyze the obtained data. The descriptive statistic and inferential statistics were used to classify, diagnose, and describe the collected data. To test the research hypotheses, the Kolmogorov–Smirnov test, Pearson’s correlation coefficient, and regression analysis were used.
Results: The archived results indicated that the professional knowledge of teachers and its dimensions (teachers' knowledge of professional skills of teaching (r=0.438, p<0.001), teachers' knowledge of modern methods of teaching (r=0.392, p<0.001), teachers' knowledge in applying educational technologies in basic science courses (r=0.242, p<0.001), teachers' knowledge in implementing instructional designs in the basic sciences (r=0.353, p<0.001), and teachers' knowledge in evaluating basic science courses (r=0.454, p<0.001) were effective in identifying students with learning disabilities.
Conclusion: The professional knowledge of teachers and its dimensions impacted the identification of students with learning disabilities in Education and Nursing Departments in Maragheh City.
Methods: The present research was of applied nature in terms of its purpose and applied descriptive and survey methods. The statistical population of the current study included primary school teachers in Maragheh City (N=1000). The sample size was calculated as 278 by Cochran, and they were selected by stratified random sampling technique. In the present study, the evolution model of Beyerman and Boehman (2005), as well as Manis and et al. (2007), was presented to examine the role of teachers' professional knowledge in identifying students with learning disabilities in the Education Department of Maragheh City, Iran, in 2017. The data gathering tool was a standard questionnaire. After measuring the scale’s validity and reliability, it was provided to the statistical sample for completion. To determine the scale’s validity, its face and content validity was established. To test the reliability of the questionnaire, Cronbach's alpha coefficient method was used. The value of these statistics for teachers' professional knowledge questions and the identification of students with learning disabilities were equal to 922.0 and 946.0, respectively. Descriptive and inferential statistics were implemented to analyze the obtained data. The descriptive statistic and inferential statistics were used to classify, diagnose, and describe the collected data. To test the research hypotheses, the Kolmogorov–Smirnov test, Pearson’s correlation coefficient, and regression analysis were used.
Results: The archived results indicated that the professional knowledge of teachers and its dimensions (teachers' knowledge of professional skills of teaching (r=0.438, p<0.001), teachers' knowledge of modern methods of teaching (r=0.392, p<0.001), teachers' knowledge in applying educational technologies in basic science courses (r=0.242, p<0.001), teachers' knowledge in implementing instructional designs in the basic sciences (r=0.353, p<0.001), and teachers' knowledge in evaluating basic science courses (r=0.454, p<0.001) were effective in identifying students with learning disabilities.
Conclusion: The professional knowledge of teachers and its dimensions impacted the identification of students with learning disabilities in Education and Nursing Departments in Maragheh City.
Type of Study: Original Research Article |
Subject:
Psychology
References
1. Faraone SV, Biederman J, Lehman BK, Keenan K, Norman D, Seidman LJ, et al. Evidence for the independent familial transmission of attention deficit hyperactivity disorder and learning disabilities: Results from a family genetic study. Am J Psychiatry. 1993;150(6):891–5. [DOI]
2. Pourahmadali A, Musavipour S. Educational multimedia production of hesabamooz and its effectiveness on the academic achievement of minus and division operation of female students with dyscalculia. Journal of Learning Disabilities. 2014 ;3(3):25–37. [Persian] [Article]
3. Moll K, Kunze S, Neuhoff N, Bruder J, Schulte-Körne G. Specific learning disorder: prevalence and gender differences. PLoS ONE. 2014;9(7):e103537. [DOI]
4. Mattison RE, Mayes SD. Relationships between learning disability, executive function, and psychopathology in children with ADHD. J Atten Disord. 2012;16(2):138–46. [DOI]
5. Khodami N, Abedi A, Atashpoor H. The effect of working memory and metacognition training on academic function of female students with mathematics learning disabilities. Knowledge & Research in Applied Psychology. 2011;12(43):45–53.
6. Hallahan DP, Kauffman JM, Pullen PC. Exceptional Learners: An Introduction to Special Education. Mashhadi A, Teymouri S, Bagheri N. (Persian translator). Mashhad: BehNashr; 2002.
7. Ghobari-Bonab B, Parand A, Hossein Khanzadeh Firoozjah A, Movallali G, Nemati S. Prevalence of Children with Behavioral Disorders in Primary Schools in Tehran. Journal of Exceptional Children. 2009;9(3):223–38. [Persian] [Article]
8. Back K. The Characteristics of Effective Teachers. Teching and Learning Online; 2009. Available from: http://www.edubook.com/the-characteristics-of-effective-teachers/8690/
9. Yazdanseta F, As’adi F. Development and validation of Staffs’ Professional Ethics Inventory. Educational Administration Research. 2016;8(29):17–30. [Persian] [Article]
10. ShahMohammadi N. Salahiatha va shayestigihaye amoozegar asre hazer: Osouli ke moaleman bayad bedannad va ghader be anjam an bashand [The competencies of today's teachers: The principles that teachers need to know to be able to do]. Roshd Magezine [Internet]. 2014; [Persian] [Article]
11. Capozzi F, Casini MP, Romani M, De Gennaro L, Nicolais G, Solano L. Psychiatric comorbidity in learning disorder: analysis of family variables. Child Psychiatry Hum Dev. 2008;39(1):101–10. [DOI]
12. Morales López Y. Inputs for the incorporation of the UNESCO guidelines on ICT competency standards for teachers : the training of teachers of mathematics in Central America. Aula Abierta. 2011;39(1):3–12.
13. Aloe AM, Becker BJ. Teacher Verbal Ability and School Outcomes: Where Is the Evidence? Educational Researcher. 2009;38(8):612–24. [DOI]
14. McCurdy M, Skinner C, Watson S, Shriver M. Examining the effects of a comprehensive writing program on the writing performance of middle school students with learning disabilities in written expression. School Psychology Quarterly. 2008;23(4):571–86. [DOI]
15. Samadi M. The Study Role of Teacher Professional Knowledge & Self-efficacy on Relationship Positive & Negative Styles with Their Students. Journal of Educational Psychology Studies. 2013;10(17):105–26. [Persian] [DOI]
16. Fathalipour Ahangar A. Tassir maharathaye herfeie moaleman bar pishraft tahsili daneshamoozan ebtedai az didgah moaleman shahrestan Babol [The effect of teachers' professional skills on the academic achievement of elementary school students from the perspective of teachers in Babol]. In: First National Conference on Sustainable Development in Educational Sciences and Psychology, Social and Cultural Studies [Internet]. Tehran, Iran: Mehr Arvand Institute of Higher Education; 2014. [Persian] [Article]
17. Naderi EA, Hajizad M, Shariatmadari A, Seif Naraghi M. Investigation And comparison of teachers of basic and human sciences regarding their professional skills in order to propose methods for promoting the quality of these skills. Educational Administration Research Quarterly. 2011;2(2):75–96. [Persian]
18. Mohajeri M, Sharif M, Mohajeri A. Relation between elementary teachers’ professional capabilities and students achievement in city of Isfahan. New Educational Approaches. 2012;7(1):27–48. [Persian]
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