Eurasia Journal of Mathematics, Science and Technology Education

Declaration of Conflict of Interest: No conflict of interest is declared by author(s).

Data sharing statement: Data supporting the findings and conclusions are available upon request from the corresponding author(s).

• Abreh, M. K., Owusu, K. A., & Amedahe, F. K. (2018). Trends in performance of WASSCE candidates in the science and mathematics in Ghana: Perceived contributing factors and the way forward. Journal of Education, 198(1), 113-123. https://doi.org/10.1177/0022057418800950
• Alegre, F., Moliner, L., Maroto, A., & Lorenzo-Valentin, G. (2019). Peer tutoring and mathematics in secondary education: Literature review, effect sizes, moderators, and implications for practice. Heliyon, 5(9), e02491. https://doi.org/10.1177/0022057418800950
• Arthur, D. Y. (2019). Effect of the constructivists teaching method, undergraduate students’ statistics self-concept and other psychological constructs in mediating their motivation for learning statistics. African Journal of Educational Studies in Mathematics and Sciences, 15(1), 129-142. https://doi.org/10.1016/j.heliyon.2019.e02491
• Arthur, Y. D., Asiedu-Addo, S., & Assuah, C. (2017). Teacher-student variables as predictor of students’ interest in mathematics: The use of stepwise multiple linear regression analysis. Asian Research Journal of Mathematics, 4(3), 1-11. https://doi.org/10.9734/ARJOM/2017/33544
• Arthur, Y. D., Dogbe, C. S. K., & Asiedu-Addo, S. K. (2021). Modeling students’ mathematics achievement and performance through teaching quality: SERVQUAL perspective. Journal of Applied Research in Higher Education. https://doi.org/10.1108/JARHE-06-2021-0243
• Azigwe, J. B., Kyriakides, L., Panayiotou, A., & Creemers, B. P. (2016). The impact of effective teaching characteristics in promoting student achievement in Ghana. International Journal of Educational Development, 51, 51-61. https://doi.org/10.1016/j.ijedudev.2016.07.004
• Bamfo, B. A., Dogbe, C. S. K., & Mingle, H. (2018). Abusive customer behaviour and frontline employee turnover intentions in the banking industry: The mediating role of employee satisfaction. Cogent Business & Management, 5(1), 1-15. https://doi.org/10.1080/23311975.2018.1522753
• Bezzina, F. H. (2010). Investigating gender differences in mathematics performance and in self‐regulated learning. Equality, Diversity and Inclusion: An International Journal, 29(7), 669-693. https://doi.org/10.1108/02610151011074407
• Bringula, R., De Leon, J. S., Rayala, K. J., Pascual, B. A., & Sendino, K. (2017). Effects of different types of feedback of a mobile-assisted learning application and motivation towards mathematics learning on students’ mathematics performance. International Journal of Web Information Systems, 13(3), 241-259. https://doi.org/10.1108/IJWIS-03-2017-0017
• Cordero, J. M., & Gil-Izquierdo, M. (2018). The effect of teaching strategies on student achievement: An analysis using TALIS-PISA-link. Journal of Policy Modeling, 40(6), 1313-1331. https://doi.org/10.1016/j.jpolmod.2018.04.003
• De Lisi, R., & Golbeck, S. (1999). Implications of piagetian theory for peer learning. Mahway. https://books.google.com.gh/books?hl=en&lr=&id=7_ZRAwAAQBAJ&oi=fnd&pg=PA3&dq=De+Lisi,+R.,+%26+Golbeck,+S.+(1999).+Implications+of+piagetian+theory+for+peer+learning.+Mahway.&ots=foPWaWJGK3&sig=yfTa4z6h3nJciLhF-95Arfa2jGI&redir_esc=y#v=onepage&q&f=false
• Diaconu-Gherasim, L. R., Măirean, C., & Brumariu, L. E. (2019). Quality of teachers’ and peers’ behaviors and achievement goals: The mediating role of self-efficacy. Learning and Individual Differences, 73, 147-156. https://doi.org/10.1016/j.lindif.2019.06.001
• Dinkelmann, I., & Buff, A. (2016). Children’s and parents’ perceptions of parental support and their effects on children’s achievement motivation and achievement in mathematics. A longitudinal predictive mediation model. Learning and Individual Differences, 50, 122-132. https://doi.org/10.1016/j.lindif.2016.06.029
• Dogbe, C. S. K., Tian, H., Pomegbe, W. W. K., Sarsah, S. A., & Otoo, C. O. A. (2020). Effect of network embeddedness on innovation performance of small and medium-sized enterprises. Journal of Strategy and Management, 13(2), 181-197. https://doi.org/10.1108/JSMA-07-2019-0126
• Dorfner, T., Förtsch, C., & Neuhaus, B. J. (2018). Effects of three basic dimensions of instructional quality on students’ situational interest in sixth-grade biology instruction. Learning and Instruction, 56, 42-53. https://doi.org/10.1016/j.learninstruc.2018.03.001
• Ersozlu, Z., Usak, M., & Blake, D. (2021). Using multi-group invariance analysis in exploring cross-cultural differences in mathematics anxiety: A comparison of Australia and Russia. Journal of Ethnic and Cultural Studies, 9(1), 1-18. https:// doi.org/10.29333/ejecs/987
• Fauth, B., Decristan, J., Decker, A. T., Buettner, G., Hardy, I., Klieme, E., & Kunter, M. (2019). The effects of teacher competence on student outcomes in elementary science education: The mediating role of teaching quality. Teaching and Teacher Education, 86, 102882. https://doi.org/10.1016/j.tate.2019.102882
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.1177/002224378101800104
• Froiland, J. M., & Davison, M. L. (2016). The longitudinal influences of peers, parents, motivation, and mathematics course-taking on high school math achievement. Learning and Individual Differences, 50, 252-259. https://doi.org/10.1016/j.lindif.2016.07.012
• García, T., Rodríguez, C., Betts, L., Areces, D., & González-Castro, P. (2016). How affective-motivational variables and approaches to learning predict performance in mathematics in upper elementary levels. Learning and Individual Differences, 49, 25-31. https://doi.org/10.1016/j.lindif.2016.05.021
• Ginsburg-Block, M. D., Rohrbeck, C. A., & Fantuzzo, J. W. (2006). A meta-analytic review of social, self-concept, and behavioral outcomes of peer-assisted learning. Journal of Educational Psychology, 98(4), 732-749. https://doi.org/10.1037/0022-0663.98.4.732
• Habók, A., Magyar, A., Németh, M. B., & Csapó, B. (2020). Motivation and self-related beliefs as predictors of academic achievement in reading and mathematics: Structural equation models of longitudinal data. International Journal of Educational Research, 103, 101634. https://doi.org/10.1016/j.ijer.2020.101634
• Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis: A global perspective (7^th Ed.). Pearson Education. https://www.pearson.com/uk/educators/higher-education-educators/program/Hair-Multivariate-Data-Analysis-Global-Edition-7th-Edition/PGM916641.html
• Hinnant-Crawford, B. N., Faison, M. Z., & Chang, M. L. (2016). Culture as mediator: Co-regulation, self-regulation, and middle school performance in mathematics. Journal for Multicultural Education, 10(3), 274-293. https://doi.org/10.1108/JME-05-2016-0032
• Huang, C. S., Su, A. Y., Yang, S. J., & Liou, H. H. (2017). A collaborative digital pen learning approach to improving students’ learning achievement and motivation in mathematics courses. Computers & Education, 107, 31-44. https://doi.org/10.1016/j.compedu.2016.12.014
• Hwang, G. J., Wang, S. Y., & Lai, C. L. (2021). Effects of a social regulation-based online learning framework on students’ learning achievements and behaviors in mathematics. Computers & Education, 160, 104031. https://doi.org/10.1016/j.compedu.2020.104031
• Hyman, L., Lamb, J., & Bulmer, M. (2006, April). The use of pre-existing survey questions: Implications for data quality. In Proceedings of the European Conference on Quality in Survey Statistics (pp. 1-8). Cardiff. https://www.researchgate.net/profile/Nasir-Ali-22/post/Writing-a-survey/attachment/59d6467e79197b80779a1843/AS%3A458354666545154%401486291676321/download/The+Use+of+Pre-Existing+Survey+Questions.pdf
• Korhonen, J., Tapola, A., Linnanmäki, K., & Aunio, P. (2016). Gendered pathways to educational aspirations: The role of academic self-concept, school burnout, achievement and interest in mathematics and reading. Learning and Instruction, 46, 21-33. https://doi.org/10.1016/j.learninstruc.2016.08.006
• Lahey, B. B., McNealy, K., Knodt, A., Zald, D. H., Sporns, O., Manuck, S. B., ... & Hariri, A. R. (2012). Using confirmatory factor analysis to measure contemporaneous activation of defined neuronal networks in functional magnetic resonance imaging. Neuroimage, 60(4), 1982-1991. https://doi.org/10.1016/j.neuroimage.2012.02.002
• Lazarides, R., & Buchholz, J. (2019). Student-perceived teaching quality: How is it related to different achievement emotions in mathematics classrooms? Learning and Instruction, 61, 45-59. https://doi.org/10.1016/j.learninstruc.2019.01.001
• Lazarides, R., Fauth, B., Gaspard, H., & Göllner, R. (2021). Teacher self-efficacy and enthusiasm: Relations to changes in student-perceived teaching quality at the beginning of secondary education. Learning and Instruction, 73, 101435. https://doi.org/10.1016/j.learninstruc.2020.101435
• Lerkkanen, M. K., Kiuru, N., Pakarinen, E., Viljaranta, J., Poikkeus, A. M., Rasku-Puttonen, H., Siekkinen, M., & Nurmi, J. E. (2012). The role of teaching practices in the development of children’s interest in reading and mathematics in kindergarten. Contemporary Educational Psychology, 37(4), 266-279. https://doi.org/10.1016/j.cedpsych.2011.03.004
• Li, L., Peng, Z., Lu, L., Liao, H., & Li, H. (2020). Peer relationships, self-efficacy, academic motivation, and performance in mathematics in Zhuang adolescents: A moderated mediation model. Children and Youth Services Review, 118, 105358. https://doi.org/10.1016/j.childyouth.2020.105358
• Miller, R. L., & Brewer, J. D. (2003). The AZ of social research: a dictionary of key social science research concepts. SAGE. https://books.google.com/books?hl=en&lr=&id=q8-QD-y2k20C&oi=fnd&pg=PP2&dq=Miller,+R.+L.,+%26+Brewer,+J.+D.+(2003).+The+AZ+of+social+research:+a+dictionary+of+key+social+science+research+concepts.+SAGE.&ots=Jh_13kCD13&sig=CGkU028658SEL5zBnWNDS0v4MFY
• Motegi, H., & Oikawa, M. (2019). The effect of instructional quality on student achievement: Evidence from Japan. Japan and the World Economy, 52, 100961. https://doi.org/10.1016/j.japwor.2019.100961
• Nauzeer, S., & Jaunky, V. C. (2021). A meta-analysis of the combined effects of motivation, learning and personality traits on academic performance. Pedagogical Research, 6(3), em0097. https://doi.org/10.29333/pr/10963
• Pitsia, V., Biggart, A., & Karakolidis, A. (2017). The role of students’ self-beliefs, motivation and attitudes in predicting performance in mathematics: A multilevel analysis of the programme for international student assessment data. Learning and Individual Differences, 55, 163-173. https://doi.org/10.1016/j.lindif.2017.03.014
• Prast, E. J., Van de Weijer-Bergsma, E., Miočević, M., Kroesbergen, E. H., & Van Luit, J. E. (2018). Relations between performance in mathematics and motivation in students of diverse achievement levels. Contemporary Educational Psychology, 55, 84-96. https://doi.org/10.1016/j.cedpsych.2018.08.002
• Reeve, J., Lee, W., & Won, S. (2015). Interest as emotion, as affect, as schema. In K. A. Renninger, M. Nieswandt, & S. Hidi (Eds.), Interest in mathematics and science learning (pp. 79-92). American Educational Research Association. https://doi.org/10.3102/978-0-935302-42-4_5
• Rockinson-Szapkiw, A., & Wendt, J. L. (2020). The benefits and challenges of a blended peer mentoring program for women peer mentors in science, technology, engineering and mathematics (STEM). International Journal of Mentoring and Coaching in Education, 10(1), 1-16. https://doi.org/10.1108/IJMCE-03-2020-0011
• Röllke, K., Maak, A. L., Wenzel, A., & Grotjohann, N. (2020). Experimental workshops in student labs and at school--What influence do location and personality traits have on learners’ motivational variables? Pedagogical Research, 5(1), em0050. https://doi.org/10.29333/pr/6338
• Ryan, R. M., & Deci, E. L. (2017). Self-determination theory: Basic psychological needs in motivation, development, and wellness. Guilford Publications. https://doi.org/10.1521/978.14625/28806
• Saunders, M., Lewis, P., & Thornhill, A. (2012). Research methods for business students. Pearson Education Ltd., Harlow. https://www.pearson.com/uk/educators/higher-education-educators/product/Saunders-Saunders-Research-Methods-for-Bu-p-6-6th-Edition/9780273750758.html
• Skaalvik, E. M., Federici, R. A., & Klassen, R. M. (2015). Performance in mathematics and self-efficacy: Relations with motivation for mathematics. International Journal of Educational Research, 72, 129-136. https://doi.org/10.1016/j.ijer.2015.06.008
• Smith, J. K., Smith, L. F., Gilmore, A., & Jameson, M. (2012). Students’ self-perception of reading ability, enjoyment of reading and reading achievement. Learning and individual differences, 22(2), 202-206. https://doi.org/10.1016/j.lindif.2011.04.010
• Surur, A. M. (2022). Application of monopoly media to improve readiness for class VI students in facing the national examination of mathematics learning. International Journal of Pedagogical Development and Lifelong Learning, 4(1), ep2201. https://doi.org/10.30935/ijpdll/11419
• Syarifuddin, H., & Atweh, B. (2022). The use of activity, classroom discussion, and exercise (ACE) teaching cycle for improving students’ engagement in learning elementary linear algebra. European Journal of Science and Mathematics Education, 10(1), 104-138. https://doi.org/10.30935/scimath/11405
• Thurston, A., Roseth, C., Chiang, T. H., Burns, V., & Topping, K. J. (2020). The influence of social relationships on outcomes in mathematics when using peer tutoring in elementary school. International Journal of Educational Research Open, 1, 100004. https://doi.org/10.1016/j.ijedro.2020.100004
• Tosto, M. G., Asbury, K., Mazzocco, M. M., Petrill, S. A., & Kovas, Y. (2016). From classroom environment to performance in mathematics: The mediating role of self-perceived ability and subject interest. Learning and Individual Differences, 50, 260-269. https://doi.org/10.1016/j.lindif.2016.07.009
• Trochim, W. M., & Donnelly, J. P. (2001). Research methods knowledge base (Vol. 2). Atomic Dog Publishers. https://www.researchgate.net/profile/William-Trochim/publication/243783609_The_Research_Methods_Knowledge_Base/links/55db837008aed6a199ac6246/The-Research-Methods-Knowledge-Base.pdf
• Xia, Y., & Yang, Y. (2019). RMSEA, CFI, and TLI in structural equation modeling with ordered categorical data: The story they tell depends on the estimation methods. Behavior Research Methods, 51(1), 409-428. https://doi.org/10.3758/s13428-018-1055-2
• Zhang, D., & Wang, C. (2020). The relationship between mathematics interest and performance in mathematics: mediating roles of self-efficacy and mathematics anxiety. International Journal of Educational Research, 104, 101648. https://doi.org/10.1016/j.ijer.2020.101648
• Zhou, D., Liu, J., & Liu, J. (2020). The effect of problematic Internet use on performance in mathematics: The mediating role of self-efficacy and the moderating role of teacher-student relationships. Children and Youth Services Review, 118, 105372. https://doi.org/10.1016/j.childyouth.2020.105372

APA

Arthur, Y. D., Dogbe, C. S. K., & Asiedu-Addo, S. K. (2022). Enhancing Performance in Mathematics Through Motivation, Peer Assisted Learning, And Teaching Quality: The Mediating Role of Student Interest. Eurasia Journal of Mathematics, Science and Technology Education, 18(2), em2072. https://doi.org/10.29333/ejmste/11509

Vancouver

Arthur YD, Dogbe CSK, Asiedu-Addo SK. Enhancing Performance in Mathematics Through Motivation, Peer Assisted Learning, And Teaching Quality: The Mediating Role of Student Interest. EURASIA J Math Sci Tech Ed. 2022;18(2):em2072. https://doi.org/10.29333/ejmste/11509

AMA

Arthur YD, Dogbe CSK, Asiedu-Addo SK. Enhancing Performance in Mathematics Through Motivation, Peer Assisted Learning, And Teaching Quality: The Mediating Role of Student Interest. EURASIA J Math Sci Tech Ed. 2022;18(2), em2072. https://doi.org/10.29333/ejmste/11509

Chicago

Arthur, Yarhands Dissou, Courage Simon Kofi Dogbe, and Samuel Kwesi Asiedu-Addo. "Enhancing Performance in Mathematics Through Motivation, Peer Assisted Learning, And Teaching Quality: The Mediating Role of Student Interest". Eurasia Journal of Mathematics, Science and Technology Education 2022 18 no. 2 (2022): em2072. https://doi.org/10.29333/ejmste/11509

Harvard

Arthur, Y. D., Dogbe, C. S. K., and Asiedu-Addo, S. K. (2022). Enhancing Performance in Mathematics Through Motivation, Peer Assisted Learning, And Teaching Quality: The Mediating Role of Student Interest. Eurasia Journal of Mathematics, Science and Technology Education, 18(2), em2072. https://doi.org/10.29333/ejmste/11509

MLA

Arthur, Yarhands Dissou et al. "Enhancing Performance in Mathematics Through Motivation, Peer Assisted Learning, And Teaching Quality: The Mediating Role of Student Interest". Eurasia Journal of Mathematics, Science and Technology Education, vol. 18, no. 2, 2022, em2072. https://doi.org/10.29333/ejmste/11509