PSYCHOLOGICAL FACTORS INFLUENCING TEST PERFORMANCE AND ASSESSMENT OUTCOMES

Authors

  • Assoc. Prof. Dr. Fleura Shkembi Department of Psychological Studies, Mediterranean University of Albania
  • Prof.as.Dr Valbona Habili Sauku Senior Lecturer, Department of Psychology and Pedagogy, Faculty of Social Sciences, University of Tirana, Albania.
  • Dr. Silva Ibrahimi PhD Research Director EYRA Psychosocial Assistance, Boston USA, Lecturer “University of Tirana"
  • Dott.Ervin IBRAHIMI MD Medical Responsabile, Azzeruolo, Cooss- Marche, Italy

Keywords:

education, psychological, practices, assessments, health

Abstract

In the evolving landscape of education and evaluation, understanding these psychological underpinnings is paramount for creating equitable and insightful assessment practices. These factors encompass a range of elements, from the impact of technology on test performance to the pivotal role of cultural and socioeconomic influences, and the effectiveness of various interventions designed to mitigate negative psychological factors. The integration of technology into assessments introduces new challenges, including digital distractions, digital literacy, and online test anxiety, which can affect students' performance. Yet, technology also offers the benefits of immediate feedback, personalized learning experiences, and data-driven insights. Cultural and socioeconomic factors exert a profound influence on assessment outcomes, as students' backgrounds, resource accessibility, and cultural norms can shape their performance. Recognizing and addressing these factors is essential to create fair evaluation practices. Various interventions, such as mindfulness techniques, feedback mechanisms, and external incentives, are explored as strategies to enhance motivation and effort in test-taking. The design of assessments itself, including question formats, time constraints, and clarity of instructions, can also influence psychological factors like test anxiety and cognitive load. This research contributes to a deeper understanding of how these psychological factors interact within the educational evaluation landscape, offering valuable insights for educators, policymakers, and anyone committed to creating an equitable, supportive, and growth-oriented learning environment. The goal is to nurture an educational environment that supports optimal growth and achievement for every student, regardless of their unique psychological characteristics.

References

1. S. A. Nikou and A. A. Economides, “Factors That Influence Behavioral Intention to Use mobile-based assessment: a STEM Teachers’ Perspective,” British Journal of Educational Technology, vol. 50, no. 2, pp. 587–600, Feb. 2018, Doi: https://doi.org/10.1111/bjet.12609.

2. R. Berry, Assessment for Learning. Hong Kong University Press., 2008. Doi https://doi.org/10.5790/hongkong/9789622099579.001.0001.

3. R. W. Rumberger and J. D. Willms, “The Impact of Racial and Ethnic Segregation on the Achievement Gap in California High Schools,” Educational Evaluation and Policy Analysis, vol. 14, no. 4, pp. 377–396, Dec. 1992, Doi: https://doi.org/10.3102/01623737014004377.

4. E. Önder and Ş. Uyar, “Factors Affecting the Academic Achievement in Socioeconomically Disadvantaged Students,” Pegem Eğitim ve Öğretim Dergisi, vol. 8, no. 2, pp. 253–280, Feb. 2018, Doi: https://doi.org/10.14527/pegegog.2018.011.

5. Organization for economic cooperation and development (OECD), “Energy and Air Pollution,” 2016.

6. L. Boonk, H. J. M. Gijselaers, H. Ritzen, and S. Brand-Gruwel, “A Review of the Relationship between Parental Involvement Indicators and Academic Achievement,” Educational Research Review, vol. 24, no. 1, pp. 10–30, Jun. 2018, Doi: https://doi.org/10.1016/j.edurev.2018.02.001.

7. L. Martins and P. Veiga, “Do Inequalities in Parents’ Education Play an Important Role in PISA Students’ Mathematics Achievement Test Score disparities?,” Economics of Education Review, vol. 29, no. 6, pp. 1016–1033, Dec. 2010, Doi: https://doi.org/10.1016/j.econedurev.2010.05.001.

8. M. Gerçek and D. YILMAZ BÖREKÇİ, “Birey Düzeyinde İlişkisel Ve Operasyonel Rezilyans (Yine/Yenilenme) Kapasitesi: Bir Ölçek Geliştirme Çalışması - Relational and Operational Resilience Capacity at Individual Level: a Scale Development Study,” Journal of Business Research - Turk, vol. 3, no. 9, pp. 149–176, Sep. 2017, Doi: https://doi.org/10.20491/isarder.2017.293.

9. J. Liu, P. Peng, and L. Luo, “The Relation between Family Socioeconomic Status and Academic Achievement in China: a Meta-analysis,” Educational Psychology Review, vol. 32, pp. 49–76, Aug. 2019, Doi: https://doi.org/10.1007/s10648-019-09494-0.

10. H. Long and W. Pang, “Family Socioeconomic status, Parental expectations, and Adolescents’ Academic achievements: a Case of China,” Educational Research and Evaluation, vol. 22, no. 5–6, pp. 283–304, Aug. 2016, Doi: https://doi.org/10.1080/13803611.2016.1237369.

11. S. Hidi and J. M. Harackiewicz, “Motivating the Academically Unmotivated: a Critical Issue for the 21st Century,” Review of Educational Research, vol. 70, no. 2, pp. 151–179, Jun. 2000, Doi: https://doi.org/10.3102/00346543070002151.

12. R. A. Lazowski and C. S. Hulleman, “Motivation Interventions in Education,” Review of Educational Research, vol. 86, no. 2, pp. 602–640, Jun. 2016, Doi: https://doi.org/10.3102/0034654315617832.

13. S. L. Wise and C. E. DeMars, “An Application of Item Response Time: The Effort-Moderated IRT Model,” Journal of Educational Measurement, vol. 43, no. 1, pp. 19–38, Mar. 2006, Doi: https://doi.org/10.1111/j.1745-3984.2006.00002.x.

14. J. Baumert and A. Demmrich, “Test motivation in the assessment of student skills: The effects of incentives on motivation and performance,” European Journal of Psychology of Education, vol. 16, no. 3, pp. 441–462, Sep. 2001, Doi: https://doi.org/10.1007/bf03173192

15. Y. Attali and M. Arieli-Attali, “Gamification in assessment: Do points affect test performance?,” Computers & Education, vol. 83, pp. 57–63, Apr. 2015, Doi: https://doi.org/10.1016/j.compedu.2014.12.012.

16. A. L. Duckworth, C. Peterson, M. D. Matthews, and D. R. Kelly, “Grit: Perseverance and Passion for long-term goals.,” Journal of Personality and Social Psychology, vol. 92, no. 6, pp. 1087–1101, 2007, Doi: https://doi.org/10.1037/0022-3514.92.6.1087.

17. I. G. Sarason, “Stress, anxiety, and Cognitive interference: Reactions to tests.,” Journal of Personality and Social Psychology, vol. 46, no. 4, pp. 929–938, 1984, Doi: https://doi.org/10.1037/0022-3514.46.4.929.

18. F. Pajares and D. Schunk, “Self-Beliefs and School Success: Self-Efficacy, Self-Concept, and School Achievement.,” in IntInternational Perspectives on Individual Differences: Self-Perception, Westport, CT: Ablex, 2001, p. Vol. 2, pp. 239-265.

19. P. R. Pintrich and E. V. de Groot, “Motivational and self-regulated Learning Components of Classroom Academic performance.,” Journal of Educational Psychology, vol. 82, no. 1, pp. 33–40, 1990, Doi: https://doi.org/10.1037/0022-0663.82.1.33.

20. J. Sweller, “Cognitive Load during Problem-solving: Effects on Learning,” Cognitive Science, vol. 12, no. 2, pp. 257–285, Jun. 1988, Doi: https://doi.org/10.1016/0364-0213(88)90023-7.

21. J. M. Keller, “Motivational Design of instruction. Instructional Design Theories and models: an Overview of Their Status,” in Instructional Design Theories and models: an Overview of Their Current Status, Hillsdale, NJ: Lawrence Erlbaum, 1983, p. pp. 383-434.

22. T. H. Holmes and R. H. Rahe, “The Social Readjustment Rating Scale,” Journal of Psychosomatic Research, vol. 11, no. 2, pp. 213–218, Aug. 1967, Doi: https://doi.org/10.1016/0022-3999(67)90010-4.

23. C. M. Steele and J. Aronson, “Stereotype Threat and the Intellectual Test Performance of African Americans.,” Journal of Personality and Social Psychology, vol. 69, no. 5, pp. 797–811, 1995, doi: https://doi.org/10.1037//0022-3514.69.5.797.

24. J. R. Anderson and L. M. Reder, “An Elaborative Processing Explanation of Depth of Processing,” in Levels of Processing in Human Memory, Erlbaum, 1979, pp. 385–404.

25. A. J. Elliot and M. A. Church, “A Hierarchical Model of Approach and Avoidance Achievement motivation.,” Journal of Personality and Social Psychology, vol. 72, no. 1, pp. 218–232, 1997, Doi: https://doi.org/10.1037/0022-3514.72.1.218.

26. M. Daneman and P. A. Carpenter, “Individual Differences in Working Memory and Reading,” Journal of Verbal Learning and Verbal Behavior, vol. 19, no. 4, pp. 450–466, Aug. 1980, Doi: https://doi.org/10.1016/s0022-5371(80)90312-6.

27. A. L. Duckworth, P. D. Quinn, D. R. Lynam, R. Loeber, and M. Stouthamer-Loeber, “Role of Test Motivation in Intelligence Testing,” in Proceedings of the National Academy of Sciences, 2011, pp. 7716–7720.

28. A. Efklides, “Interactions of Metacognition with Motivation and Affect in Self-Regulated Learning: the MASRL Model,” Educational Psychologist, vol. 46, no. 1, pp. 6–25, Jan. 2011, Doi: https://doi.org/10.1080/00461520.2011.538645.

29. C. S. Dweck, Mindset: the New Psychology of Success. Ant Hive Media, 2016.

30. B. K. Britton and A. Tesser, “Effects of time-management practices on college grades.,” Journal of Educational Psychology, vol. 83, no. 3, pp. 405–410, 1991, Doi: https://doi.org/10.1037//0022-0663.83.3.405.

31. D. J. Nicol and D. Macfarlane‐Dick, “Formative Assessment and Self‐regulated Learning: a Model and Seven Principles of Good Feedback Practice,” Studies in Higher Education, vol. 31, no. 2, pp. 199–218, 2006.

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Published

2024-10-21

How to Cite

Shkembi, F., Habili Sauku, V., Ibrahimi, S., & Ibrahimi, E. (2024). PSYCHOLOGICAL FACTORS INFLUENCING TEST PERFORMANCE AND ASSESSMENT OUTCOMES. EUROPEAN JOURNAL OF MODERN MEDICINE AND PRACTICE, 4(10), 272–280. Retrieved from https://inovatus.es/index.php/ejmmp/article/view/4191

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