The Effect of Background on Students’ Interest in Mathematics: The Mediation of Students’ Motivation and Perception in Ghana
Asian Journal of Probability and Statistics,
The dependence of scientific and technological advancement on mathematics requires investigation into what affects students’ motivation in mathematics. The present study investigated the influence of students’ background (SB) as mediated by students’ perception (SP), and students’ motivation (SM) as predictor of students’ interest in mathematics (SIM). The study further presented an empirical structural equation models (SEM) that predicts students’ interest, students’ motivation and students’ perception in mathematics. Using cohort samples of randomly selected 1,263, participants completed researcher-designed and validated questionnaires with a-reliability of 0.74, 0.7, 0.68, 0.82 and 0.94 for SIM, SB, SM, SP and overall instrument reliability respectively. The results from the study at 5% alpha level indicated as statistically significant relationship between SP, SB, SM and SIM. SP, SB, SM explain 27.9% of variance in SIM. The study further revealed statistical significance between SB and SP such that SB explains 32.1%, of variance in SP. The study finally established statistically significant relationship between SB, SP and SM; the study confirms that SB and SP explain 31.6% of SM. The study concluded that students’ interest in mathematics is related to student perception, students’ background, and students’ motivation. It was further concluded that student motivation is related to students’ perceptions and students’ background. Finally, although students’ background predicts students’ perception about mathematics. It is recommended to educators and educational stakeholders to focus attention on determinants of students’ mathematics interest by introducing positive interventions from the very beginning of students’ mathematics education.
- high school
- students’ motivation
- students’ perception
- students’ interest
How to Cite
[Cited 2016 Jun 18]
Eccles JS, Adler T, Futterman R, Goff SB, Kaczala CM, Meece JL, et al. Expectancies, values and academic behaviors. Achievement and Achievement Motivation. 1983;76–146.
Eccles J, Wigfield A, Flanagan C. Self‐concepts, domain values and self esteem: Relations and changes at early adolescence. J [Internet]; 1989.
[Cited 2016 Jun 17]
Wigfield A. Expectancy-value theory of achievement motivation: A developmental perspective. Educ Psychol Rev. 1994;6(1):49–78.
Guo J, Marsh HW, Parker PD, Morin AJS, Yeung AS. Expectancy-value in mathematics, gender and socioeconomic background as predictors of achievement and aspirations: A multi-cohort study. Learn Individ Differ. 2015;37.
Gasco J, Goñi A, Villarroel JD. Sex differences in mathematics motivation in 8th and 9th grade. Procedia - Soc Behav Sci [Internet]. 2014;116:1026–31.
Asiedu-addo S, Assuah C, Arthur YD. Compulsion in studying mathematics and career influence by mathematics on student interest in mathematics. Asian Res J Arts Soc Sci. 2016;1(2):1–8.
Katz I, Assor A, Kanat-Maymon Y, Bereby-Meyer Y. Interest as a motivational resource: Feedback and gender matter, but interest makes the difference. Soc Psychol Educ. 2006;9(1):27–42.
Levesque C, Copeland KJ, Pattie MD, Deci EL. Intrinsic and extrinsic motivation. Int Encycl Educ [Internet]. 2010;618–23.
Deci EL, Ryan RM. Intrinsic motivation and self-determination in human behavior. New York, NY: Plenum Press; 1985.
Tapola A, Veermans M, Niemivirta M. Predictors and outcomes of situational interest during a science learning task. Instr Sci. 2013;41(6):1047–64.
Pantziara M, Philippou GN. Students’ motivation in the mathematics classroom. Revealing Causes and Consequences. International Journal of Science and Mathematics Education. 2014;1–27.
Alonzo AC, Kobarg M, Seidel T. Pedagogical content knowledge as reflected in teacher-student interactions: Analysis of two video cases. J Res Sci Teach. 2012;49(10):1211–39.
Mohd N, Mahmood T, Ismail M. Factors that influence students in mathematics achievement. Int J [Internet]; 2011.
[Cited 2016 Jun 11]
Bramlett DC, Herron S. A study of African-American college students’ attitudes towards mathematics. J Math Sci. 2005;4(2):43–51.
Papanastasiou C. Effects of attitudes and beliefs on mathematics achievement. Stud Educ Eval [Internet]; 2000.
[Cited 2016 Jun 11]
Patterson MP, Decker C, Eckert R, Klaus S, Wendling L, Papanastasiou E. Factor associated with high school mathematics performance in the United States. Stud Educ Eval. 2003;29:91–108.
Arthur YD, Asiedu-Addo S, Assuah C. Students’ perception and its impact on Ghanaian students’ interest in mathematics: Multivariate statistical analytical approach. Asian Res J Math [Internet]. 2017;4(2):1–12.
Arthur YD, Asiedu-addo S, Assuah C. Teacher-student variables as predictor of students ’ interest in mathematics: The use of stepwise multiple linear regression analysis. Asian Res J Math. 2017;4(3):1–11.
Arthur YD, Oduro FT, Boadi RK. Statistical analysis of Ghanaian students attitude and interest towards learning mathematics. Int J Educ Res. 2014;2(6):661–70.
Muenks K, Miele DB, Wigfield A. How students’ perceptions of the source of effort influence their ability evaluations of other students. J Educ Psychol. 2015;108(3).
Xiang P, Chen A, Bruene A. Interactive impact of intrinsic motivators and extrinsic rewards on behavior and motivation outcomes. J Teach Phys … [Internet]. 2005;24:179–97.
Pintrich P. An achievement goal theory perspective on issues in motivation terminology, theory, and research. Contemp Educ Psychol [Internet]. 2000;25(1):92–104.
Zimmer-Gembeck MJ, Collins WA. Autonomy development during adolescence. In: Blackwell Handbook of Adolescence. 2008;174–204.
Ames C. Classrooms: Goals, structures and student motivation. Journal of Educational Psychology. 1992;84:261–71.
Sansone C, Morgan C. Intrinsic motivation and education: Competence in context. Motiv Emot. 1992;16(3):249–70.
Buck R. Prime theory: An integrated view of motivation and emotion. Psychol Rev. 1985;92(3):389–413.
Kuperminc GP, Darnell AJ, Alvarez-Jimenez A. Parent involvement in the academic adjustment of Latino middle and high school youth: Teacher expectations and school belonging as mediators. J Adolesc. 2008;31(4):469–83.
Schiefele U, Schaffner E. Teacher interests, mastery goals, and self-efficacy as predictors of instructional practices and student motivation. Contemp Educ Psychol [Internet]. 2015;42:159–71. Available:http://linkinghub.elsevier.com/retrieve/pii/S0361476X15000314
Kember D, Ho A, Hong C. Characterising a teaching and learning environment capable of motivating student learning. Learn Environ Res. 2010;13(1):43–57.
Silins H, Mulford B. Schools as learning organisations - Effects on teacher leadership and student outcomes. Sch Eff Sch Improv. 2004;15(3–4):43–466.
Fan W, Williams CM. The effects of parental involvement on students’ academic self‐efficacy, engagement and intrinsic motivation. Educ Psychol. 2010;30(1):53–74.
Eccles J, Adler TF, Kaczala CM. Socialization of achievement attitudes and beliefs: Parental influences. Child Dev. 1982;53:310–21.
Bhanot RT, Jovanovic J. The links between parent behaviors and boys’ and girls’ science achievement beliefs. Appl Dev Sci [Internet]. 2009;13(1):42–59.
Van Matre JC, Valentine J, Cooper H. Effect of students’ after-school activities on teachers’ academic expectancies. contemp educ psychol [Internet]. 2000;25(2):167–83.
Teodorović J. Student background factors influencing student achievement in Serbia. Educ Stud [Internet]. 2012;38(1):89–110.
Gonida EN, Cortina KS. Parental involvement in homework: Relations with parent and student achievement-related motivational beliefs and achievement. Br J Educ Psychol. 2014;84(3):376–96.
Arthur YD, Aseidu-Addo S, Annan J. Student mathematics interest in Ghana: The role of parent interest, gender, basic school attended and fear of basic school mathematics teacher. Adv Res [Internet]. 2015;5(5):1–8.
Agnihotri Anil Kumar. Problem solving ability among senior secondary school students. Indian Streams Res J [Internet]. 2015;5(2):1–8.
Papanastasiou C. Effects of background and school factors on the mathematics achievement. Educ Res Eval [Internet]. 2002;8(1):55–70.
Hair J, Ringle C, Sarstedt M. PLS-SEM: Indeed a silver bullet. J Mark Theory Pract. 2011;19(2):139–51.
Henseler J, Ringle C, Sinkovics R. The use of partial least squares path modeling in international marketing. Adv Int Mark. 2009;20:277-319.
Henseler J, Ringle C, Sarstedt M. Using partial least squares path modeling in advertising research: Basic concepts and recent issues. In Handbook of research on international advertising,. Northampton, USA:.: Edward Elgar; 2011.
Hair JF, Hult GTM, Ringle CM, Sarstedt M. A primer on partial least squares structural equation modeling (PLS - SEM). Thousand Oaks: Sage; 2014.
Fan X. Parental involvement and students’ academic achievement: A growth modeling analysis. J Exp Educ [Internet]. 2001;70(1):27–61.
Zainal NFA, Shahrani S, Yatim NFM, Rahman RA, Rahmat M, Latih R. Students’ perception and motivation towards programming. Procedia - Soc Behav Sci [Internet]. 2012;59:277–86.
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