Grade-3 Learners’ Performance and Conceptual Understanding Development in Technology-Enhanced Teaching With Interactive Mathematics Software
This study presented the effect of interactive mathematics (IM) software assisted-teaching on primary three learners' conceptual understanding and.
- Pub. date: April 15, 2023
- Pages: 759-774
- 333 Downloads
- 752 Views
- 2 Citations
This study presented the effect of interactive mathematics (IM) software assisted-teaching on primary three learners' conceptual understanding and performance. The cognitive theory of multimedia learning (CTML) supported the quasi-experimental design of this study drawing on IM software features that fit a multimedia tool for effective learning. This study used a sample of 138 lower primary learners. Learners’ test scores and examples of their work provided data to be analyzed. Learners' conceptual understanding was measured using the percentage of learners who performed a particular item and analyzed using sample learners' work while the overall performance was measured using the mean class scores. From the data analysis, IM-assisted teaching influenced conceptual understanding and performance based on a .05 p-value, the effect size of significance, and learning gains. The analysis of learners’ workings revealed different errors in addition, subtraction, division, and multiplication, which were remarkably reduced in the post-test by IM-supported teaching. This evidenced conceptual understanding development by IM-supported teaching. The study suggested the integration of IM in the Rwandan Competence-Based curriculum and its use as an instructional tool in teaching and learning mathematics at the primary level. Besides, it was recommended that Rwanda Education Board support teachers in developing basic computer skills to effectively create and monitor a multimedia learning environment for effective learning. Furthermore, further similar research would improve the literature about interactive technologies in supporting quality mathematics delivery and outcomes.
conceptual understanding interactive mathematics software lower primary school mathematics education rwanda
Keywords: Conceptual understanding, interactive mathematics software, lower primary school, mathematics education, Rwanda.
References
Amit, A., & Amia, A. (2020). Case-based games learning strategies to improve conceptual understanding in mathematics. Journal of Physics: Conference Series, 1663, Article 012060. https://doi.org/10.1088/1742-6596/1663/1/012060
Andamon, J. C., & Tan, D. A. (2018). Conceptual understanding , attitude and performance in mathematics of grade 7 students. International Scientific & Technology Research, 7(8), 96-105. https://bit.ly/3kXS8CR
Bethell, G. (2016). Mathematics education in sub-Saharan Africa : Status, challenges, and opportunities (Worldbank report: ACS19117). https://doi.org/10.1596/25289
Dwyer, L. M. O., Wang, Y., & Shields, K. A. (2015). Teaching for conceptual understanding : A cross-national comparison of the relationship between teachers' instructional practices and student achievement in mathematics. Large-Scale Assessments in Education, 3, Article 1. https://doi.org/10.1186/s40536-014-0011-6
Ernest, P., Skovsmose, O., van Bendegem, J. P., Bicudo, M., Miarka, R., Kvasz, L., & Moeller, R. (2016). The philosophy of mathematics education. Springer. https://doi.org/10.1007/978-3-319-40569-8
Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2012). How to design and evaluate research in education (8th ed.). McGraw Hill. https://l24.im/H1pP4bl
GebreYohannes, H. M., Hadi Bhatti, A., & Hasan, R. (2016). Impact of multimedia in teaching mathematics. International Journal of Mathematics Trends and Technology, 39(1), 80–83. https://doi.org/10.14445/22315373/ijmtt-v39p510
Haji, S., & Yumiati. (2019). NCTM's principles and standards for developing conceptual understanding in mathematics, 1(2), 52–60. https://doi.org/10.32734/jormtt.v1i2.2836
Ho, T. M. P. (2020). Measuring conceptual understanding, procedural fluency and integrating procedural and conceptual knowledge in mathematical problem solving. International Journal of Scientific Research and Management, 8(5), 1334–1350. https://doi.org/10.18535/ijsrm/v8i05.el02
Ian, J., Matthew, I., Camilla, G., & Jeremy, H. (2013). Measuring conceptual understanding: The case of fractions. In A. M. Lindmeier & A. Heinze (Eds.), Proceedings of the 37th Conference of the International Group for the Psychology of Mathematics Education (PME 37) (Vol. 3, pp. 113-120). Psychology of Mathematics Education.
Ji, Y. I., & Barbara, J. D. (2013). Linking multiplication models to conceptual understanding in measurement approach. Research Gate. https://doi.org/10.13140/2.1.4735.7768
Khan, S. A. (2018). Mathematics proficiency of primary school students in Trinidad and Tobago (Publication No. 10256768) [Doctoral dissertation, Colombia University]. ProQuest Dissertations and Theses Global.
Kusumaningsih, W., Saputra, H. A., & Aini, A. N. (2019). Cognitive style and gender differences in a conceptual understanding of mathematics students. Journal of Physics: Conference Series, 1280(4), Article 042017. https://doi.org/10.1088/1742-6596/1280/4/042017
Loo, C. H., & Said, M. N. H. M. (2020). Effects of digital game-based learning apps based on Mayer’s cognitive theory of multimedia learning in mathematics for primary school. Innovative Teaching and Learning Journal, 4(1), 65–78. http://bit.ly/3Ikw3ac
Madaki, A. A. (2021). Mathematics education in sub-Saharan Africa: Status , challenges , and opportunities. African Scholars Journal of Contemporary Education Research, 23(8), 203–218. https://bit.ly/3Yu4xg4
Mayer, R. E. (2014a). Incorporating motivation into multimedia learning. Learning and Instruction, 29, 171–173. https://doi.org/10.1016/j.learninstruc.2013.04.003
Mayer, R. E. (2014b). Cognitive theory of multimedia learning. In R. Mayer (Ed.), The Cambridge handbook of multimedia learning (pp. 43-71). Cambridge University Press. https://doi.org/10.1017/CBO9781139547369.005
Mayer, R. E., & Moreno, R. (1998). A cognitive theory of multimedia learning: Implications for design principles. Journal of Educational Psychology, 91(2), 358-368. https://bit.ly/3YOoP3G
Mendezabal, M. J. N., & Tindowen, D. J. (2018). Improving students’ attitude, conceptual understanding and procedural skills in differential calculus through microsoft mathematics. Journal of Technology and Science Education, 8(4), 385–397. https://doi.org/10.3926/jotse.356
Milton, J. H., Flores, M. M., Moore, A. J., Taylor, J. L. J., & Burton, M. E. (2019). Using the concrete –representational –abstract sequence to teach conceptual understanding of basic multiplication and division. Learning Disability Quarterly, 42(1), 32-45. https://doi.org/10.1177/0731948718790089
Ministry of Education. (2018). Education sector strategic plan 2018/19 to 2023/24. https://bit.ly/40WxnaA
Mlotshwa, N., & Tunjera, N., & Chigona, A. (2020). Integration of MOODLE into the classroom for better conceptual understanding of functions in mathematics. South African Journal of Education, 40(3), 1–14. https://doi.org/10.15700/10.15700/saje.v40n3a1570
Mugiraneza, J. P. (2021). Digitalization in teaching and education in Rwanda (The Report, 28). https://bit.ly/3YGKsDi
Nahdi, D. S., & Jatisunda, M. G. (2019). Conceptual understanding and procedural knowledge: A case study on learning mathematics of fractional material in elementary school. Journal of Physics: Conference Series, 1477, Article 4. https://doi.org/10.1088/1742-6596/1477/4/042037
Ndihokubwayo, K., Ralph, M., Ndayambaje, I., & Uwamahoro, J. (2021). Dataset for measuring the conceptual understanding of optics in Rwanda. F1000Research, 10, Article 679. https://doi.org/10.12688/f1000research.53135.1
Ndihokubwayo, K., Uwamahoro, J., & Ndayambaje, I. (2020). Effectiveness of PhET simulations and YouTube videos to improve the learning of optics in Rwandan secondary schools. African Journal of Research in Mathematics, Science and Technology Education, 24(2), 253–265. https://doi.org/10.1080/18117295.2020.1818042
Njiku, J. (2019). Mathematics performance across gender and who owns a school. Huria Journal, 26(1), 141–150.
Pachemska, S., Atanasova-Pachemska, T., Iliev, D., & Seweryn-Kuzmanovska, M. (2014). Analyses of student’s achievement depending on math teaching methods. Procedia - Social and Behavioral Sciences, 116, 4035–4039. https://doi.org/10.1016/j.sbspro.2014.01.886
Psycharis, S., Chalatzoglidis, G., & Kalogiannakis, M. (2013). Moodle as a learning environment in promoting conceptual understanding for secondary school students. Eurasia Journal of Mathematics, Science & Technology Education, 9(1), 11–21. https://doi.org/10.12973/eurasia.2013.912a
Rwanda Education Board. (2015). Curriculum framework: Pre-primary to upper secondary 2015. https://bit.ly/3RZoSHD
Shamim, M. (2018). Application of cognitive theory of multimedia learning in undergraduate surgery course. International Journal of Surgery Research and Practice, 5(1), 2–7. https://doi.org/10.23937/2378-3397/1410065
Soewardini, H. M. D., Meilantifa, M., & Sukrisno, H. (2018). Multimedia learning to overcome anxiety and mathematics difficulty. IOP Conference Series: Materials Science and Engineering, 434, Article 012002. https://doi.org/10.1088/1757-899X/434/1/012002
Sorden, S. D. (2012). The cognitive theory of multimedia learning. In B. J. Irby (Ed.), Handbook of educational theories (pp. 155- 168). Information Age Pub.
Uwurukundo, M. S., Maniraho, J. F., & Tusiime Rwibasira, M. (2022). Effect of GeoGebra software on secondary school students’ achievement in 3-D Geometry. Education and Information Technologies, 27, 5749–5765. https://doi.org/10.1007/s10639-021-10852-1
Zulnaidi, H., & Syed Zamri, S. N. A. (2017). The effectiveness of the GeoGebra software: The intermediary role of procedural knowledge on students' conceptual knowledge and their achievement in mathematics. Eurasia Journal of Mathematics, Science and Technology Education, 13(6), 2155-2180. https://doi.org/10.12973/eurasia.2017.01219a