Student Academic Achievement Forecast Based on Emotional Intelligence, Personality, Demographic Characteristics and Attitude Towards Education and Future Career

Year : 2024 | Volume : | : | Page : –
By

Hajar Tarverdizadeh,

Mohammad Taghipour,

  1. Assistant Professor Central Tehran Branch, Islamic Azad University Tehran Iran
  2. Assistant Professor North Tehran Branch, Islamic Azad University, Tehran Iran

Abstract

This study was aimed at predicting students’ academic achievement based on emotional intelligence of personality traits, attitudes to education and future career. The present study was a correlational-analytical study. The statistical population of Zanjan University students in the academic year of 1395-1395 was the sample of 489 people selected by cluster random sampling method. Academic Resilience Scale (ARI) and Schotte Emotional Intelligence Questionnaire and Researcher Attitude Questionnaire were used to evaluate the suggested pattern through the pattern of structural equation using AMOS-7 software. The results indicated that demographic variables negatively predict academic achievement. Among the personality factors, emotional intelligence and education in education and career future are positively predicted academic achievement. By resilience, emotional intelligence also predicts academic success. Academic resilience does not mediate the relationship between attitude to education and career future, gender, age, and academic achievement, and academic resilience only mediates the relationship between personality conscience and academic achievement. These findings show the significance of personality traits and emotional intelligence in academic achievement, emphasizing the intricate interactions between these variables and how they affect students’ resilience and academic results. This research adds to our knowledge of the ways in which psychological and demographic factors interact to influence academic accomplishment, offering insightful information for instructional strategies and interventions meant to improve student performance.

Keywords: Academic achievement, Emotional intelligence, Demographic variables, Future career, Academic resilience, Structural Equation Modeling.

How to cite this article: Hajar Tarverdizadeh, Mohammad Taghipour. Student Academic Achievement Forecast Based on Emotional Intelligence, Personality, Demographic Characteristics and Attitude Towards Education and Future Career. International Journal of Education Sciences. 2024; ():-.
How to cite this URL: Hajar Tarverdizadeh, Mohammad Taghipour. Student Academic Achievement Forecast Based on Emotional Intelligence, Personality, Demographic Characteristics and Attitude Towards Education and Future Career. International Journal of Education Sciences. 2024; ():-. Available from: https://journals.stmjournals.com/ijes/article=2024/view=161566



References

  1. Ehsani R, Haji-Aghajani S, Rastegar T, Atarmoghadam HB, Amouzadeh-Khalili M, Ghorbani RA, Rashidy-Pour A. Viewpoints of the lecturers’ and students’ at Rehabilitation College of Semnan University of Medical Sciences on the factors influencing students’ academic achievement in 2012-2013 academic year.
  2. Shamsi M, Ashtyani SC. Comparison of barriers to research activities form the point of view of normal and talented students at Arak University of Medical Sciences. Educational research in medical sciences. 2012 May 7;1(1).
  3. Amiri MR, Vakilimofrad H, Rostami F, Moslehi S. Does increasing health literacy reduce self-medication? A case study of Hamadan University of Medical Sciences. Journal of Education and Community Health. 2022 Dec 4;9(4):241-6.
  4. Cho S. The role of IQ in the use of cognitive strategies to learn information from a map. Learning and Individual Differences. 2010 Dec 1;20(6):694-8.
  5. Hakimi S, Hejazi E, Lavasani MG. The relationships between personality traits and students’ academic achievement. Procedia-Social and Behavioral Sciences. 2011 Jan 1;29:836-45.
  6. Shokri O. Gender differences in academic performance: The role of personality traits. International Journal of Behavioral Sciences. 2008 Aug 1;2(2):127-41.
  7. Chamorro-Premuzic T, Furnham A. Personality predicts academic performance: Evidence from two longitudinal university samples. Journal of research in personality. 2003 Aug 1;37(4):319-38.
  8. Tavakoli P, Makhtoom Nejad M. The Relationship between Perceived Social Support and Psychological Resilience with the Quality of Life of People with Physical Disabilities. Journal of Family Relations Studies. 2022 Mar 1;2(4):13-21.
  9. Rojas LF. Factors affecting academic resilience in middle school students: A case study. Gist: Education and Learning Research Journal. 2015(11):63-78.
  10. Martin AJ, Marsh HW. Academic resilience and its psychological and educational correlates: A construct validity approach. Psychology in the Schools. 2006 Mar;43(3):267-81.
  11. Mobarakabadi A, Shamsi M, Najafianzadeh M. Health student attitude towards their field of study and future career in health faculty of Arak university of medical sciences Iran. Strides in Development of Medical Education. 2014 Aug 1;11(2):280-5.
  12. Henderson-King D, Smith MN. Meanings of education for university students: Academic motivation and personal values as predictors. Social psychology of education. 2006 May;9:195-221.
  13. Tarverdizadeh H, Taghipour M, Nezamivand S. Predicting students’ academic achievement based on emotional intelligence, personality and demographic characteristics, attitudes toward education and career prospects through the mediation of academic resilience. Educational researches. 2021 Feb 19;16(65):171-86.
  14. Qurban A, Mohammed LA. Barriers to Implement ICT By Primary School Teachers in Private Schools Based in Muscat (Oman). International Journal of Emerging Issues in Social Science, Arts and Humanities (IJEISSAH). 2023 Dec 18;2(1):101-16.
  15. Marcela V. Learning strategy, personality traits and academic achievement of university students. Procedia-social and behavioral sciences. 2015 Feb 12;174:3473-8.
  16. Parker JD, Summerfeldt LJ, Hogan MJ, Majeski SA. Emotional intelligence and academic success: Examining the transition from high school to university. Personality and individual differences. 2004 Jan 1;36(1):163-72.
  17. Pajares F, Valiante G. Gender differences in writing motivation and achievement of middle school students: A function of gender orientation?. Contemporary educational psychology. 2001 Jul 1;26(3):366-81.
  18. Abolmaali K, Mahmudi R. The prediction of academic achievement based on resilience and perception of the classroom environment. Open Science Journal of Education. 2013;1(1):7-12.
  19. Salovey P, Stroud LR, Woolery A, Epel ES. Perceived emotional intelligence, stress reactivity, and symptom reports: Further explorations using the trait meta-mood scale. Psychology and health. 2002 Jan 1;17(5):611-27.
  20. Johnson N, Dinsmore JA, Hof DD. THE RELATIONSHIP BETWEEN COLLEGE STUDENTS’RESILIENCE LEVEL AND TYPE OF ALCOHOL USE. International Journal of Psychology: A Biopsychosocial Approach/Tarptautinis Psichologijos Žurnalas: Biopsichosocialinis Požiūris. 2011 Jul 1(8).
  21. FARAJI KF, VALIPOOR A, KHADEMI M. A STUDY ON STUDENTS’EXPECTATIONS OF ACADEMIC FIELD AND THEIR ATTITUDE TO PROSPECTING JOB AMONG SCHOOL OF HEALTH STUDENTS AT AHVAZ JUNDISHAPUR UNIVERSITY OF MEDICAL SCIENCES: 2014.
  22. Fast LA, Funder DC. Personality as manifest in word use: correlations with self-report, acquaintance report, and behavior. Journal of personality and social psychology. 2008 Feb;94(2):334.
  23. Marcela V. Learning strategy, personality traits and academic achievement of university students. Procedia-social and behavioral sciences. 2015 Feb 12;174:3473-8.
  24. Babaei M, Mohammadian M, Abdollahi M, Hatami A. Relationship between big five personality factors, problem solving and medical errors. Heliyon. 2018 Sep 1;4(9).

Ahead of Print Subscription Original Research
Volume
Received July 19, 2024
Accepted June 25, 2024
Published August 7, 2024

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