(2019)
(2019)
(2019)
(2019)
(2019)
(2019)
(2019)
(2019)
(2019)
(2018)
(2018)
(2018)
(2018)
(2018)
(2018)
(2018)
(2018)
(2018)
(2018)
(2017)
(2017)
(2017)
(2017)
(2017)
(2017)
(2017)
(2017)
(2017)
(2017)
(2016)
(2016)
Special Issue - (2016)
(2016)
(2016)
(2016)
(2016)
(2016)
(2016)
(2016)
(2016)
(2016)
(2016)
(2016)
(2016)
(2016)
(2016)
(2016)
(2015)
(2015)
Special Issue - (2015)
(2015)
(2015)
(2015)
(2012)
(2012)
(2012)
Special Issue - (2012)
pp. 1353-1369 | Article Number: ijese.2017.087
Published Online: July 22, 2017
Abstract
Improving the academic performance of students is one of the main concerns of authorities in education fields. The science of psychology and education experts has tried to help research and studies, to identify factors affecting the academic performance of students. Previously cognitive abilities as one of the most important determinants of academic performance is recognized, but gradually it became clear non-cognitive factors such as emotional intelligence play prominent role in the academic performance of students. Children who have high emotional intelligence, in the use of problem-solving skills show higher abilities, which results in improving the cognitive ability of these students. The aim of this study provide a model predicting academic performance based on the components of emotional intelligence, problem-solving skills and achievement motivation among students of ordinary and smart school. The study in term of method is predictive- correlational. The population in this study consisted of all high school students in Tehran using multi-stage cluster sampling 583 students were selected as sample. The results showed that the direct effect of emotional intelligence and achievement motivation on students 'academic performance is significant, but direct effect of problem-solving skills on students' academic performance is not significant. The direct effect of emotional intelligence and achievement motivation on students' academic performance in smart schools is significantly higher than its impact on the academic performance of students in ordinary schools. There was any significant direct difference between problem solving skills and academic performance of students in smart and ordinary schools. So it can be concluded that the role of smart schools in important variables such as emotional intelligence, achievement motivation and academic performance makes the role of smart schools brighter and stronger.
Keywords: smart schools, emotional intelligence, problem-solving skills, achievement motivation, academic performance
References
Aghili, M., and Fotohinia, Maryam (2014). The effect of Smart Technology (classrooms equipped with smart boards) on motivation and academic achievement of high school students city of Gonbad Kavoos. Magazine of E-learning (media). (3) 5, 37-46
Ahadi, B.; Mirzaee, Parry; Narimani, Mohammad; Abolqasemi Abbas (2009). Solving Training impact on social adjustment and academic performance shy. Research on Exceptional Children. (3) 9, 202-193
Bakhshi Sureshjani, Leila (2008). Relationship between emotional intelligence and mental health and academic performance of male and female students of Islamic Azad University PA. Journal of Research in Educational Sciences-University Curriculum Development Branch (3) 19, 116-97
Barker, S. (2002). A prospective longitudinal investigation of social problem-solving appraisal on adjustment to university, stress, health and academic motivation and performance. Personality & Individual Differences, 35, 569, 591.
Bar-on, R. (2000). The emotional quotient inventory (EQ-I): A measure of emotional intelligence. Toronto. Canada: multi-health system.
Chandra , J. P. (2013). Effect of Smart Classroom Learning Environment on Academic Achievement of Rural High Achievers and Low Achievers in Science. International Letters of Social and Humanistic Sciences (ILSHS), 3 (3), 1-9.
Davoudi SMM, Fartash K, Abbasian M (2012). Perception of Justice as an Antecedent of Organizational Citizenship Behavior: A Survey in Iran's Insurance Industry. Pacific business review international, volume 4, issue 4, pp. 18-26.
DeLong, M., Winter, D., & Yackel, C.A. (2004). Management, motivation and student centered instruction I: Analytical framework. Primus: Problems, Resources and Issues in Mathematics Undergraduate Studies, 13(2), 97–123.
Dortaj, F. (2014). The effect of mental simulation of processes and products to improve academic performance, academic performance and reliability testing. PhD thesis, Faculty of Education and Psychology, Allameh Tabatabaei University
Fisher, R.. (2007). Thinking education to children. Translation Maryam Safai Moghadam, Najarian A. Tehran: RaseshPublication
Ganji, Hamza. (1999), General Psychology, Tehran: Institute Salavan publication
Goleman, Daniel. (2001). Emotional Intelligence. translation Nasrin Parsa. Tehran, publisher of growth. (Since publication of the original language, 1995)
Hatami, Javad Taghizadeh, J., and Mohebinia, J. (2012). Relationship between emotional intelligence, self-regulated learning and academic self-concept and academic performance in high school third grade male students in Kashan city. Journal of Educational Studies and School, 2 (12), 34-27
Heidari, Maryam Vaziri, M and Adli, Fariba (2013). Check the status of smart schools based on academic performance and critical thinking student standards and compared with regular schools. ICT in Education. (14) 4149-173
http://dl.eram.shirazu.ac.ir/root/Utility/eLearning/shivehnameh_hoshmandsazi-900508.pdf
Jafari, Mehdi, Ahmad Zadeh, F. (2014). Check the components of emotional intelligence and academic achievement of students. Journal of Kermanshah University of Medical Sciences. 21 (125), 92-85
Matemba, C. K., Awinja, J., Otieno, K. O. (2014). Relationship between Problem Solving Approaches and Academic Performance: A Case of Kakamega Municipality, Kenya. International Journal of Human Resource Studies, 4 (4), 10-20.
Mayer , J. D. , Salovey , P. , & Caruso , D. R. (2000) ."Competing models of emotional intelligence . In R. J. strenberg (Ed.) , Handbook of human intelligence. New York: Cambridge University Press.
Mayer, R.E. (2001). Multimedia learning. Cambridge, UK: Cambridge University Press.
Mesrabadi, J. (2001). The effectiveness of learning strategies for high-speed reading, retention and comprehension in different contexts. MA thesis. Allameh Tabatabaei University
Ministry of Education. (2011). A smart way to school. Downloaded from the site:
Nikoogoftar, M. (2009). Emotional intelligence, alexithymia, general health and academic achievement. Developmental psychology (Psychology) Iran (19) 5, 198-187
Parsa, Mohammad. (1996). Motivation and excitement, Tehran: Message Boards
Perkins, D. (1992). Smart Schools: Better Thinking and Learning for Every Child. New York: Free Press.
Pintrich, P. R., & Garcia, T. (1991). Reliability and Predictive validity of the motivated strategies for learning questionnaire. Educational and Psychological Measurement, 53, 801-811.
Rahimi, N (2011). The relationship of cognitive and metacognitive strategies and academic performance in ordinary schoolchildren and intelligent. Master's thesis. Faculty of Psychology and Social Sciences Branch of Central Tehran Islamic Azad University of Tehran
Rastgar AA, Davoudi SMM, Oraji S, Abbasian M (2012). A study of the relationship between employees’ spiritual intelligence and job satisfaction: A survey in Iran’s banking industry. Spectrum: A journal of multidisciplinary research, volume 1, issue 2, pp. 57-74.
Rastgar AA, Pourebrahimi N & Davoudi SMM (2012). Leader-Member Exchange and organizational citizenship behavior: A survey in Iran's food industry. Pacific business review international, volume 5, issue 5, pp. 13-18.
Sharma, P. L. (2005). Motivation for learning (1st ed.). New Delhi: Sarup & Sons.
Shaveran, HR: Salimi, G., Homaee, Reza. (2008). Measure the academic performance of students based on their multiple cultures. Journal of Isfahan University. (1) 9, 160-147
Tastan, Secil Bal & Davoudi, S.M.M. (2015). A Research On The Relevance Of Intellectual Capital
And Employee Job Performance As Measured With Distinct Constructs Of In-Role
And Extra-Role Behaviors. Indian Journal of Science and Technology, 8(7): 724-734.
Tastan, SB & Davoudi, SMM (2017). The Relationship between Organisational Climate and Organizational Innovativeness: Testing the Moderating Effect of Individual Values of Power and Achievement. International Journal of Business Innovation and Research, Inderscience Publishers, 12(4): 465-483.
Timmis,S & Cook,J.(2004). Motivating Students towards Online Learning Institutional Strategies and Imperatives. Retrived from http://repub.eur.nl/pub/.
Wlodkowski, R. J. (1985). Enhancing adult motivation to learn. San Francisco: Jossey-Bass.
Zarei Zavaraki, Ishmael, and Malazadegan, Ali. (2014). Comparison of motivation fifth grade students in smart schools to regular schools. Journal of Technology Education, 8 (1), 214-205