Students’ academic adjustment and science learning motivation at the university level

Authors

  • Sagheer Ahmad PhD Student
  • Rizwan Akram Rana

DOI:

https://doi.org/10.36681/tused.2023.033

Keywords:

Correlational research design, academic adjustment, motivation for learning science, university students, science related programs

Abstract

This study aimed to investigate the relationship between students' adjustment to the academic learning process (academic adjustment) and motivation for learning science. The study was conducted with the participation of university students enrolled in science-related programs. A correlational research design was utilized in which data was collected through the Academic Adjustment Subscale (AAS) and the Students Motivation towards Science Learning (SMTSL) scale. Both scales were piloted before administering to data collection. The research sample comprised of 526 students selected using a simple random sampling technique, with participants providing informed consent prior to their involvement in the study. The collected data analyzed using Pearson's r correlation and independent sample t tests after checking normal distribution of data. Results showed a small positive correlation between students' academic adjustment and motivation for learning science. Statistically, no significant mean differences were found between male and female students, as well as between the 17-22 years and 23-27 years old student groups. These findings suggest that academic adjustment plays an important role in motivating students to learn science and vice versa. Given that the study did not find significant differences based on gender and age groups, educational institutes should provide need based individualized support and guidance to all students regardless of their gender or age.

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Author Biography

  • Rizwan Akram Rana

     

     

     

References

Abdullah, M. C., Elias, H., Mahyuddin, R., & Uli, J. (2009). The relationship between emotional intelligence and adjustment amongst first year students in a Malaysian public university. Journal of Interdisciplinary Social Sciences, 4, 95-106.

Allen, J., & Robbins, S. (2010). Effects of interest-major congruence, motivation, and academic performance on timely degree attainment. Journal of Counselling Psychology, 57(1), 23-35.

Ames, C., & Archer, J. (1988). Achievement goals in the classroom: Students’ learning strategies and motivation process. Journal of Educational Psychology, 80(3), 260-267.

Aspinwall, L.G., & Taylor, S. E. (1992). Modelling cognitive adaptation: A longitudinal investigation of the impact of individual differences and coping on college adjustment and performance. Journal of Personality and Social Psychology, 63, 989–1003.

Baker, S. R. (2004). Intrinsic, extrinsic, and amotivational orientations: their role in university adjustment, stress, well-being, and subsequent academic performance. Current Psychology, 23, 189-202.

Baker, R. W., & Siryk, B. (1999). SACQ student adaptation to college questionnaire: Manual. Western Psychological Services.

Baker, R., & Siryk, B. (1984a). Measuring adjustment to college. Journal of Counselling Psychology, 31, 179-189.

Burton, K. D., Lydon, J., D'Alessandro, D. U., & Koestner, R. (2006). The differential effects of intrinsic and identified motivation on well-being and performance: prospective, experimental, and implicit approaches to self-determination theory. Journal of Personality and Social Psychology, 91, 750-62.

Bye, D., Pushkar, D., & Conway, M. (2007). Traditional and nontraditional undergraduate students. Adult Education Quarterly, 57(2), 141-158.

Chen, X., Fang, L., & Liu, L. (2021). The role of academic adjustment in predicting science motivation among Chinese college students. Frontiers in Psychology, 12, 651053.

Chirkov, V., Vansteenkiste, M., Tao, R., & Lynch, M. (2007). The role of self-determined motivation and goals for study abroad in the adaptation of international students. International Journal of Intercultural Relations, 31(2), 199-222.

Clark, M. H., Steven, C., Middleton, D. N., & Zwick, L. K. (2014). Mediating relationships between academic motivation, academic integration and academic performance. Learning and Individual Differences, 33, 30-38.

Clifton, R. A., Perry, R. P., Roberts, L. W., & Peter, T. (2008). Gender, psychosocial dispositions and the academic achievement of college students. Research in Higher Education, 49(8), 684-703.

Conti, R. (2000). College goals: Do self-determined and carefully considered goals predict intrinsic motivation, academic performance, and adjustment during the first semester? Social Psychology of Education, 4(2), 189-211.

Cook, D. A., & Artino, A. R. (2016). Motivation to learn: an overview of contemporary theories. Medical Education, 50(10), 997-1014.

Davy, J. A., Smith, K. J., & Rosenberg, D. L. (2009). Motivation and (un)ethical behavior: are there gender differences? forum on public policy: A Journal of the Oxford Round Table, 5(2), 1-25.

Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. Berlin: Springer Science & Business Media.

Deci, E. L., & Ryan, R. M. (2002). Handbook of self-determination research. Rochester, NY: University of Rochester Press.

Enochs, W. K., & Roland, C. B. (2006). Social adjustment of college freshmen: the importance of gender and living environment. College Student Journal, 40, 63-73.

Fairchild, A. J., Horst, S. J., Finney, S. J., & Barron, K. E. (2005). Evaluating existing and new validity evidence for the Academic Motivation Scale. Contemporary Educational Psychology, 30, 331–358.

Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. PNAS, 111(23), 8410-8415.

Garcia, T., & Pintrich, P. R. (1994). Regulating motivation and cognition in the classroom: The role of self-schemas and self-regulatory strategies. In D.H. Schunk and B. J. Zimmerman (Eds.), Self-regulation of learning and performance: issues and educational applications (pp. 127-153). Hillsdale, NJ: Lawrence Erlbaum Associates.

Gerdes, H., & Mallinckrodt, B. (1994). Emotional, social, and academic adjustment of college students: A longitudinal study of retention. Journal of Counselling & Development, 72(3), 281– 288.

Glynn, S. M., & Koballa, T. R. (2006). Motivation to learn science: differences related to gender, class type, and ability. Journal of Educational Research, 99(2), 123-131.

Graham, S., & Donaldson, J. F. (1999). Adult students' academic and intellectual development in college. Adult Education Quarterly, 49, 147-161.

Greene, B. A., & Miller, R. B. (1996). Influences on achievement: Goals, perceived ability, and cognitive engagement. Contemporary Educational Psychology, 21, 181-192.

Guo, Y. (2018). The influence of academic autonomous motivation on learning engagement and life satisfaction in adolescents: the mediating role of basic psychological needs satisfaction. Journal of Education and Learning, 7(4), 125-132.

Halamandaris, K. F., & Power, K. G. (1999). Individual differences, social support and coping with the examination stress: a study of the psychosocial and academic adjustment of first year home students. Personality and Individual Differences, 6(4), 665-685.

Hazard, L., & Carter, S. (2018). A framework for helping families understand the college transition. E-Source for College Transitions, 16(1), 13-15.

Howell, E. L., & Brossard, D. (2021). (Mis)informed about what? What it means to be a science-literate citizen in a digital world. PNAS, 118(15), 1-8.

Ishak, N. A., Jdaitawi, M. T., & Mustafa, F. T. (2011). Moderating effect of gender and age on the relationship between emotional intelligence with social and academic adjustment among first year university students. International Journal of Psychological Studies, 3(1), 78-89.

Isiksal, M. (2010). A comparative study on undergraduate students' academic motivation and academic self-concept. Spanish Journal of Psychology, 13(2), 572-585.

Jacobson, R. R. (2000). Differences between traditional and nontraditional students on the motivated strategies for learning questionnaire. Dissertations Abstracts International, 61(3-A), 879.

Jdaitawi, M., Rasheed, A., Gohari, M., Raddy, Y., Aydın, M., Abas, A., Hasan, A. & Khatıry, A. (2020). The determinants of leisure attitudes: mediating effect of self-efficacy among students from science, engineering, and medicine colleges. Journal of Turkish Science Education, 17(2), 242-252.

Jeffrey, L. M., Atkins, C., Laurs, A., & Mann, S. (2009). E-Learner profiles: Identifying trends and diversity in student needs, orientations and aspirations. Executive Summary.

Joe, H-K., Hiver, P., & Al-Hoorie, A. H. (2017). Classroom social climate, self-determined motivation, willingness to communicate, and achievement: A study of structural relationships in instructed second language settings. Learning and Individual Differences, 53, 133-144.

Jones, B., Coetzee, G., Bailey, T., & Wickham, S. (2008). Factors that facilitate success for disadvantaged higher education students: An investigation into approaches used by REAP, NSFAS and selected higher education institutions. Cape Town: Rural Education Access Program (REAP) & Research and Academic Development (RAD).

Juliana, S., Hoffmann, F., Agustín, de la Iglesia, Liporace, G., & Mercedes, L. (2014). Predicting academic achievement: the role of motivation and learning strategies. Problems of Psychology in the 21st Century, 8(71), 14-18.

Jumini, S., Madnasri, S., Cahyono, E., & Parmin, P. (2022). Article review: integration of science, technology, entrepreneurship in learning science through bibliometric analysis. Journal of Turkish Science Education, 19(4), 1237-1253.

Justice, E. M., & Dornan, T. M. (2001). Metacognitive differences between traditional-age and nontraditional-age college students. Adult Education Quarterly, 51(3), 236- 249.

Kantanis, T. 2000. The role of social transition in students’ adjustment to the first year of university. Journal of Institutional Research, 9(1), 100–110.

Klein, J. D. (1990). An analysis of the motivational characteristics of college re-entry students. College Student Journal, 24(3), 281-286.

Kusurkar, R. A., Ten Cate, T. J., Vos, C. M., Westers, P., & Croiset, G. (2013). How motivation affects academic performance: a structural equation modelling analysis. Adv Health Sci Educ Theory Practice, 18(1), 57-69.

Leong, F. T. L., Bonz, M. H., & Zachar, P. (1997). Coping styles as predictors of college adjustment among freshmen. Counselling Psychology Quarterly, 10, 211-220.

LIbao, N. J. P., Sagun, J. J. B., Tamangan, E. A., Pattalitan, A. P., Dupa, M. E. D., & Bautista, R. G. (2016). Science learning motivation as correlate of students’ academic performances. Journal of Technology and Science Education JOTSE, 6(3), 209-218.

Mujasam, Renita, S. G. M., & Allo, A. Y. T. (2018). Activity and progress of learning with two stay two stray (TS-TS) cooperative model on harmonic vibration. Journal of Turkish Science Education, 15(Special Issue), 59–66.

Muller, F. H., & Louw, J. (2004). Learning environment, motivation, and interest: perspectives on self-determination theory. South African Journal of Psychology, 34(2), 169-190.

Napoli, A.R., & Wortman, P.M. (1998). Psychosocial factors related to retention and early departure of two-year community college students. Research in Higher Education, 39(4), 419–455.

Nevid, J. S. (2013). Psychology: concepts and applications. Wadsworth Cengage Learning: Belmont, CA.

Noels, K. A., Pelletier, L., Clément, R., & Vallerand, R. J. (2000). Why are you learning a second language? motivational orientations and self-determination theory. Language Learning, 50, 57-85.

Nunn, G. D. (1994). Adult learners‟ locus of control, self-evaluation and learning temperament as a function of age and gender. Journal of Instructional Psychology, 21(3), 260-264.

Obrentz, S. B. (2012). Predictors of Science Success: The Impact of Motivation and Learning Strategies on College Chemistry Performance. Dissertation, Georgia State University.

Petersen, I., Louw, J., & Dumont, K. (2009). Adjustment to university and academic performance among disadvantaged students in South Africa. Journal of Educational Psychology, 29(1), 99-115.

Petrie, J. A. C., van der Zanden, Denessen, E., Cillessen, A. H. N., & Meijer, P. C. (2018). Domains and predictors of first-year student success: A systematic review. Educational Research Review, 23, 57-77.

Pintrich, P. R., & Schunk, D. H. (2002). Motivation in education: theory, research, and applications. Upper Saddle River, NJ: Merrill Prentice-Hall.

Pintrich, P. R., Smith, D. A., García, T., & Mckeachie, W. J. (1991). a manual for the use of the motivated strategies for learning questionnaire. (MSLQ). Ann Arbor, MI: NCRIPTAL, University of Michigan.

Prus, J., Hatcher, L., Hope, M., & Grabiel, C. (1995). The learning and study strategies inventory (LASSI) as a predictor of first-year college academic success. Journal of the Freshman Year Experience, 7, 7–26.

Ramos, L. & Nichols, L. (2007). Self-efficacy of first-generation and non-first-generation college students: the relationship with academic performance and college adjustment. Journal of College Counselling, 10, 6-18.

Rana, R., Reid, N., & Mahmood, N. (2015). Motivation and science performance: influence on student learning in science. Sci. Int (Lahore), 27(2),1445-1452.

Raza, S. A., Qazi, W., & Qamar, S. (2020). The influence of psychological, motivational, and behavioral factors on university students’ achievements: the mediating effect of academic adjustment. Journal of Research in Higher Education, 23(2), 1-45.

Richardson, M., Abraham, C., & Bond, R. (2012). Psychological correlates of university students' academic performance: a systematic review and meta-analysis. Psychological Bulletin, 138(2), 353-387.

Robbins, S. B., Allen, J., Casillas, A., Peterson, C, & Le, H. (2006). Unraveling the differential effects of motivational and skills, social, and self-management measures from traditional predictors of college outcomes. Journal of Educational Psychology, 98(3), 598-616.

Robbins, S. B., Lauver, K., Le, H., Davis, D., Langley, R., & Carlstrom, A. (2004). Do psychosocial and study skill factors predict college outcomes? A meta-analysis. Psychological Bulletin, 130(2), 261–288.

Roxas, M. L., & Stoneback, J. Y. (2004). The importance of gender across cultures. Journal of Business Ethics, 50(2), 149-165.

Ryan, R. M., & Deci, E. L., (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American psychologist, 55(1), 68-78.

Ryan, R. M., & Deci, E. L. (2017). Self-determination theory: basic psychological needs in motivation, development, and wellness. New York: Guilford Press.

Seifert, T., & O'Keefe, B. (2001). The relationship of work avoidance and learning goals to perceived competence, externality and meaning. The British journal of educational psychology, 71, 81-92.

Senécal, C., Koestner, R., & Vallerand, R.J. (1995). Self-regulation and academic procrastination. The Journal of Social Psychology, 135, 607–619.

Sennett, J., Finchilescu, G., Gibson, K. and Strauss, R. (2003). Adjustment of black students at a historically white South African university. Educational Psychology, 23,107–116.

Sikhwari, T. D. (2007). The relationship between affective factors and the academic achievement of students at the University of Venda. South African Journal of Higher Education, 21(3), 520-536.

Steinmayr, R., Weidinger, A., Schwinger, M., & Spinath, B. (2019). The importance of students’ motivation for their academic achievement – replicating and extending previous findings. Frontiers of Psychology, 10,

Struthers, W., Perry, R. P., & Menec, V. H. (2000). An examination of the relationship among academic stress, coping, motivation, and performance in college. Research in Higher Education, 41(5), 581-592.

Thøgersen-Ntoumani, C., & Ntoumanis, N. (2006). The role of self-determined motivation in the understanding of exercise-related behaviors, cognitions and physical self-evaluations. Journal of Sports Science, 24(4), 393-404.

Thomas, D. M., Love, K. M., Roan-Belle, C., Tyler, K. M., Brown, C. L., & Garriott, P. O. (2009). Self-efficacy, motivation, and academic adjustment among African American women attending institutions of higher education. The Journal of Negro Education, 78(2), 159–171.

Tinto, V. (2006). Research and practice of student retention: What next? Journal of College Student Retention, 8(1), 1–19.

Tranquillo, J., Stecker, M. (2016). Using intrinsic and extrinsic motivation in continuing professional education. Surg Neurol Int., 7(7), 197-9.

Tuan, H. L., Chin, C. C., & Shieh, S. H. (2005). The development of a questionnaire to measure students' motivation towards science learning. International Journal of Science Education, 27(6), 639-654.

Vallerand, R. J. (1997). Toward a hierarchical model of intrinsic and extrinsic motivation. In M. P. Zanna (Ed.), Advances in experimental social psychology (Vol. 29, pp. 271–360). New York: Academic Press.

Vallerand, R. J., & Bissonnette, R. (1992). On the predictive effect of intrinsic, extrinsic, and amotivational styles on behavior: A prospective study. Journal of Personality, 60, 599-620.

Vallerand, R. J., Pelletier, L. G., Blais, M. R., Briere, N. M., Senecal, C., & Vallieres, E. F. (1992). The academic motivation scale: a measure of intrinsic, extrinsic, and amotivation in education. Educational and Psychological Measurement, 52(4), 1003– 1017.

Van Rooijen, L. (1986). Advanced students’ adaptation to college. Higher Education, 15, 197–209.

van Rooij, E. C. M., Jansen, E. P. W. A., & van de Grift, W. J. C. M. (2018). First year university students’ academic success: The importance of academic adjustment. European Journal of Psychology of Education, 33(4), 749-767.

Vansteenkiste, M., Sierens, E., Soenens, B., Luyckx, K., & Lens, W. (2020). Motivational profiles from a self-determination perspective: The quality of motivation matters for science engagement and academic achievement. Journal of Educational Psychology, 112(4), 880-900.

Vermeir, I., & van Kenhove, P., (2008). Gender differences in double standards. Journal of Business Ethics, 81(2), 281-295.

Wang, M. T., & Eccles, J. S. (2012). Social support matters: Longitudinal effects of social support on three dimensions of school engagement from middle to high school. Child Development, 83(3), 877-895.

Wang, J. H., & Guthrie, J. T. (2004). Modelling the effects of intrinsic motivation, extrinsic motivation, amount of reading, and past reading achievement on text comprehension. Reading Research Quarterly, 39, 162-186.

Wang, H., Xu, M., Xie, X., Dong, Y., & Wang, W. (2021). Relationships between achievement goal orientations, learning engagement, and academic adjustment in freshmen: variable-centered and person-entered approaches. Frontiers in Psychology, 12,

Willems, J., van Daal, T., van Petegem, P., Coertjens, L., & Donche, V. (2021). Predicting freshmen’s academic adjustment and subsequent achievement: differences between academic and professional higher education contexts. Frontline Learning Research Special Issue, 9(2), 28 – 49.

Wintre, M. G., & Yaffe, M. (2000). First-year students’ adjustment to university life as a function of relationships with parents. Journal of Adolescent Research, 15, 9–37.

Wiyarsi, A., Pratomo, H. & Priyambodo, E. (2020). Vocational high school students’ chemical literacy on context-based learning: a case of petroleum topic. Journal of Turkish Science Education, 17(1), 147-161.

Wood, R. (2019). Students’ motivation to engage with science learning activities through the lens of self-determination theory: Results from a single-case school-based study. Eurasia Journal of Mathematics, Science & Technology Education, 15(7), 1–22.

Wu, W., Wang, S., Zhang, Y., & Yu, Z. (2021). The mediating effect of science self-efficacy on the relationship between academic adjustment and science motivation among Chinese college students. Current Psychology, 1-10.

Yarin, A. J., Encalada, I. A., Elias, J. W., Surichaqui, A. A., Sulca, R. E., & Pozo, F. (2022). Relationship between motivation and academic performance in Peruvian undergraduate students in the subject of mathematics. Education Research International, 11.

Yıldız-akyol, E. & Boyacı, M. (2020). Cognitive flexibility and positivity as predictors of career future in university students. Turkish Psychological Counseling and Guidance Journal, 10(57), 297-320.

Zhao, Y., Dind, Y., Chekired, H., & Wu, Y. (2022). Students’ adaptation to college and coping in relation to adjustment during COVID-19: A machine learning approach. PLoS One, 17(12).

Zhu, W., Zhu, Y., Lin, H., & Yu, Y. (2021). Technology progress bias, industrial structure adjustment, and regional industrial economic growth motivation: Research on regional industrial transformation and upgrading based on the effect of learning by doing. Technological Forecasting and Social Change, 170.

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Published

01.01.2024

How to Cite

Ahmad, S., & Akram Rana , R. (2024). Students’ academic adjustment and science learning motivation at the university level. Journal of Turkish Science Education, 20(4), 587-605. https://doi.org/10.36681/tused.2023.033

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