Main Article Content
Abstract
This research work surveyed inquired into, and scanned carefully, the exhibiting indirect causation of learners’ mathematics perception, a connection jointly engaging learners’ stance towards mathematics and technology on their mathematics interest. This inquest was conducted on 200 Senior High School learners sampled in the Central part of Ghana. The employment of a survey and comprehensive questionnaire was necessitated. Amos Software (v. 23) was instrumental in the Modeling analysis computations (SEM: EFA/CFA), and the paths were tested on the hypotheses. Attitude towards mathematics produced a positive impact on learners’ interest, which in turn impacted positively on learners’ perception of mathematics, and technology yielded a positive impact on how learners perceive mathematics. There was a complete mediation of learners' perception of mathematics in the association between learners' attitudes towards mathematics and their interest in mathematics. Further studies could be carried out on the parameters using other methods to inquire about the impact of learners' attitudes on mathematics and the technology involved in their learning on their mathematics interests. The education system must be mindful of learners' attitudes, perceptions, and technology in their learning process. Colleges of education must bring up teachers in the light of learners' attitudes, perceptions, and technology in their learning and the appropriate pedagogy in their delivery of lessons.
Keywords
Article Details
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Chand, S., Chaudhary, K., Prasad, A., & Chand, V. (2021). Perceived Causes of Students’ Poor Performance in Mathematics: A Case Study at Ba and Tavua Secondary Schools. Frontiers in Applied Mathematics and Statistics, 7(April), 1–13. https://doi.org/10.3389/fams.2021.614408
Chu, H. C., Chen, J. M., & Tsai, C. L. (2017). Effects of an online formative peer-tutoring approach on students’ learning behaviors, performance and cognitive load in mathematics. Interactive Learning Environments, 25(2), 203–219. https://doi.org/10.1080/10494820.2016.1276085
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Das, K. (2020). Realistic Mathematics & Vygotsky’s Theories in Mathematics Education. Shanlax International Journal of Education, 9(1), 104–108. https://doi.org/10.34293/education.v9i1.3346
dos Santos, P. M., & Cirillo, M. Â. (2021). Construction of the average variance extracted index for construct validation in structural equation models with adaptive regressions. Communications in Statistics: Simulation and Computation, 0(0), 1–13. https://doi.org/10.1080/03610918.2021.1888122
Eyyam, R., & Yaratan, H. S. (2014). Impact of Use of Technology in Mathematics Lessons on Student Achievement and Attitudes. Social Behavior and Personality: An International Journal, 42(1), 31S-42S. https://doi.org/10.2224/sbp.2014.42.0.s31
Faber, J. M., Luyten, H., & Visscher, A. J. (2017). The effects of a digital formative assessment tool on mathematics achievement and student motivation: Results of a randomized experiment. Computers and Education, 106, 83–96. https://doi.org/10.1016/j.compedu.2016.12.001
Fabian, K., Topping, K. J., & Barron, I. G. (2018a). Using mobile technologies for mathematics: effects on student attitudes and achievement. Educational Technology Research and Development, 66(5), 1119–1139. https://doi.org/10.1007/s11423-018-9580-3
Fabian, K., Topping, K. J., & Barron, I. G. (2018b). Using mobile technologies for mathematics: effects on student attitudes and achievement. Educational Technology Research and Development, 66(5), 1119–1139. https://doi.org/10.1007/s11423-018-9580-3
Fried, M. N. (2001). Can mathematics education and history of mathematics coexist? Science and Education, 10(4), 391–408. https://doi.org/10.1023/A:1011205014608
Fung, F., Tan, C. Y., & Chen, G. (2018). Student engagement and mathematics achievement: Unraveling main and interactive effects. Psychology in the Schools, 55(7), 815–831. https://doi.org/10.1002/pits.22139
Gokkurt, B., Dundar, S., Soylu, Y., & Akgun, L. (2012). The Effects of Learning Together Technique Which is based on Cooperative Learning on Students’ Achieevement in Mathematics Class. Procedia - Social and Behavioral Sciences, 46, 3431–3434. https://doi.org/10.1016/j.sbspro.2012.06.079
Gómez-García, M., Hossein-Mohand, H., Trujillo-Torres, J. M., Hossein-Mohand, H., & Aznar-Díaz, I. (2020). Technological factors that influence the mathematics performance of secondary school students. Mathematics, 8(11), 1–14. https://doi.org/10.3390/math8111935
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(February), 101634. https://doi.org/10.1016/j.ijer.2020.101634
Heck, R. H., & Mahoe, R. (2010). Student course taking and teacher quality: Their effects on achievement and growth. International Journal of Educational Management, 24(1), 56–72. https://doi.org/10.1108/09513541011013051
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