Diagnostic Analysis of the Factor Affecting the Participation of Students in Scientific Olympiads

Document Type : Original Article

Authors

1 Assistant prof department of history and sociology, faculty of social science, university of mohaghegh ardabili,Ardabil, iran

2 MA Research Group Department of Education Ardabil province,iran

10.22034/emes.2022.543266.2326

Abstract

Objective: Objective: The purpose of this study is to enumerate a set of factors that affect students' participation in scientific olympiads. Turning to the above goal, the theoretical framework of the problem was explored at the micro and messo levels and their interaction with each other was examined.
Methods: In this research, survey method and questionnaire were used. The statistical technique used in this method was diagnostic analysis. In order to calculate the validity of the questionnaire tool, face validity was used and to calculate its reliability, Cronbach's alpha was used. The sample selection method was purposeful and in order to compare between the two sets of cases (participants and non-participants) the homogeneity statistical population was selected and 384 samples were studied based on the scientific method of sampling.
Results: This study, which sought to obtain a function to determine the importance of each independent variable in distinguishing groups from each other, was able to identify significant differences between the two groups and, based on the distinction made in the independent variables, predict that Participants in the Olympiad are different from non-participants in independent variables.The results showed that the variables of school educational quality, parents' economic and social status, school olympiad atmosphere, student evaluation system, his ability and ability as well as parents' encouragement were able to predict students' membership in two groups of participants / non-participants
Conclusion: According to the obtained results, it can be said that the experimental findings are a kind of indicative of the theoretical framework of the research. In other words, several factors affect the participation / non-participation of students in this scientific competition at the micro and intermediate levels. Factors that start with the quality of the actors and include school and family support at the institutional level

Keywords


Aschaffen Burg, K. & Maas, I. (1997), Cultural and Educational Careers: The Dynamic of Social Reproduction. American Sociological Review, 62, 573-587.
Busemeyer, M.R. (2012), Inequality and the Political economy of education: An analysis of individual preferences in OECD countries. Journal of European Social Policy, 22(3), 219-240.
Dincer, S., & Doganay, A. (2017). The effects of multiple-pedagogical agents on learners, Academic success, motivation and cognitive load. Computers & Education, 111, 74-100.
McBrien, J., Dooley, K. & Birman, D. (2017). Cultural and Academic Adjustment of Refugee Youth: Introduction to the Special Issue. International Journal of Intercultural Relations. 60, 104-108 60, DOI:10.1016/j.ijintrel.2017.07.001.
 Foster, P., & Roger Gomm, M.H. (2005). Constructing Educational inequality: A Methodological Assessment, Falmer Press. Washington D.C.
Gehlbach, H., Brinkworth, M.E., King, A.M., Hsu, L.M., McIntyer, J., & Rogers,T. (2016). Creating Birds of Similar Feathers: Leveraging Similarity to Improve Teacher–Student Relationships and Academic Achievement. Journal of Educational Psychology, 108, 3, 342–352.
Goddard, J. (2009). Reinventing the Civic University: National Endowment of Science, Technology and the Arts (NESTA(, available at:www.nesta.org.uk.
Hasani, M.R. & Janalizadeh Choobbasti, H. (2014). The Role of Social and Psychological Factors in Students` Interest in Scientific Olympiads with Emphasis on Self-efficacy Construct. Journal of Research in Cognitive and Behavioral Science, 4, 1, (6), 85-102.
Hearn J.C. (1991). Top of Form
Hidi, S. (2006). Interest: A Unique Motivational Variable. Educational Research Review,1, 69-82.
Hidi, S. (2006). Interest: A Unique Motivational Variable, Educational Research Review,1,69-82.
Leathwood, C. & Hayton, A. (2002). Educational inequalities in the United Kingdom: A critical analysis of the discourses and policies of New Labour. Australian Journal of Education, 46, 2, 138-153.
Lynch, K. & Baker, J. (2005). Equality in education : An equality of condition perspective, Theory and Research in Education, Vol 3(2)131-164.
Mayer, S.E. (2010). The relationship between income inequality and inequality in schooling, Theory and Research in Education, 8, 1, 5- 20.
McDonough, M.P & Fann, A.J. (2007). The Study of Inequality. Sociology of Higher Education, Contributions & Their Contexts, Edited By Gamport, Patricia. J, The Johns Hopkins University Press.
Rubenson, K. & Desjardins, R. (2009). The impact of Welfare State Regimes on Barriers to Participation in Adult Education: A Bounded Agency Model, Adult Education Quarterly, 59, 187-207.
Salimi, J. & Pasalari, H. (2017).The Role of Social and Educational Characteristics of Hormozgan Province High School Students on Their Success in University Entrance Exam. Journal of Educational Measurement & Evaluation Studies, 7, 18, 91-125.
samari safa, J., Dashti, M. & Pourdel, M. (2021). Development of a Model of Academic Buoyancy based on with School Connection, Family’s Emotional Atmoshphere, Motivation, Self-efficacy and Academic Engagement of Students, QJCR., 20 (77), 225-256.
Sheikholeslami, A., Karimianpour, G., & Mohammadi, Y. (2018). Predicting students' connection to school based on academic support and academic self-concept. Journal of Educational Psychology Studies, 15, 30 (30), 187-206.