Using GeoGebra in Teaching Geometry to Enhance Students Academic Achievement and Motivation
Keywords:GeoGebra, geometry, academic achievement, academic motivation, ARCS model
The goal of this study was to evaluate the effect of using GeoGebra with the ARCS (Attention, Relevance, Confidence, and Satisfaction) model on academic achievement and motivation. In this regard, an experimental and a control group were constituted. The academic motivation questionnaire (Harter, 1981) was used to measure participant’s motivation. Further, two instances of a multiple-choice questions test on a topic in Geometry were designed to measure student’s academic achievement. In order to collect data, the pre-tests were applied to each group at the beginning of the lessons. The experimental group was taught using GeoGebra and the control group was trained with the traditional teaching method. At the end of the lessons, the post-tests were administered to both groups. The statistical difference between participant’s post-test academic motivation and learning of the experimental and control group was analyzed with ANCOVA after examining the assumptions of this test, namely normality and homogeneity in each group. Results of the study indicated that the scores of academic achievement and motivation in the experimental group were significantly more than that of the control group.
Abánades, M., Botana, F., Kovács, Z., Recio, T., Sólyom-Gecse, C. (2016, July). Towards the automatic discovery of theorems in GeoGebra. In: Greuel, GM., Koch, T., Paule, P., Sommese, A. (Eds.) Mathematical Software – ICMS 2016. ICMS 2016. Lecture Notes in Computer Science. Springer, 9725, (37–42). https://doi.org/10.1007/978-3-319-42432-3_5
Adhikari, P. (2019). Difficulties in learning vector geometry at secondary level (Master’s thesis, Tribhuwan University, Kathmandu, Nepal). Tribhuvan University Central Library. https://elibrary.tucl.edu.np/handle/123456789/1710
Afzal, H., Ali, I., Aslam Khan, M., & Hamid, K. (2010). A study of university student’s motivation and its relationship with their academic performance. International Journal of Business and Management, 5(4), 80. https://doi.org/10.5539/ijbm.v5n4p80
Barut, M. E. O., & Retnawati, H. (2020). Geometry learning in vocational high school: Investigating the student’s difficulties and levels of thinking. In Proceeding Ahmad Dahlan International Conference on Mathematics and Mathematics Education, 3-4 December 2021 (pp. 1-11). https://iopscience.iop.org/article/10.1088/1742-6596/1613/1/012058/pdf
Bhagat, K. K., & Chang, C. Y. (2015). Incorporating GeoGebra into Geometry learning-A lesson from India. Eurasia Journal of Mathematics, Science and Technology Education, 11(1), 77–86.
Celen, Y. (2020). Student Opinions on the Use of GeoGebra Software in Mathematics Teaching. Turkish Online Journal of Educational Technology-TOJET, 19(4), 84-88.
Chaudhary, R. (2019). A study on difficulties in Learning Geometry at Secondary Level students (Master’s thesis, Tribhuwan University, Kathmandu, Nepal). Tribhuvan University Central Library. https://elibrary.tucl.edu.np/bitstream/123456789/8484/1/All%20thesis%281%29.pdf
Chen, L., Bae, S. R., Battista, C., Qin, S., Chen, T., Evans, T. M., & Menon, V. (2018). Positive attitude toward math supports early academic success: Behavioral evidence and neurocognitive mechanisms. Psychological Science, 29(3), 390–402. https://doi.org/10.1177/0956797617735528
Cheng, Y., & Ye, J. (2010). Exploring the social competence of students with autism spectrum conditions in a collaborative virtual learning environment – The pilot study. Computers and Education, 54(4), 1068–1077. https://doi.org/10.1016/j.compedu.2009.10.011
da Silva, A. B., & Figueiredo, A. P. N. B. (2013). A geometry class in high school with GeoGebra. Revista Instituto GeoGebra Internacional do Rio Grande do Norte, 1(1).
Harter, S. (1980). The scale of intrinsic versus extrinsic orientation in the classroom (Manual available). Department of Psychology, University of Denver, Denver.
Harter, S. (1981). A new self-report scale of intrinsic versus extrinsic orientation in the classroom: Motivational and informational components. Developmental Psychology, 17(3), 300–312. https://doi.org/10.1037/0012-16188.8.131.520
Higgins, K., Huscroft-D’Angelo, J., & Crawford, L. (2019). Effects of technology in mathematics on achievement, motivation, and attitude: A meta-analysis. Journal of Educational Computing Research, 57(2), 283–319. https://doi.org/10.1177/0735633117748416
Hohenwarter, M., & Preiner, J. (2007). Dynamic mathematics with GeoGebra. Journal of Online Mathematics and its Applications, 7, 1448.
Jones, K. (2002), Issues in the Teaching and Learning of Geometry. In: Linda Haggarty (Ed.), Aspects of teaching secondary mathematics: Perspectives on practice (pp. 121-139). Routledge Falmer.
Joyner, J., & Reys, B. (2000). Principles and standards for school mathematics: What’s in it for you? Teaching Children Mathematics, 7(1), 26–29. https://doi.org/10.5951/TCM.7.1.0026
Keller, J. M. (1987b). The systematic process of motivational design. Performance + Instruction, 26(9–10), 1–8. https://doi.org/10.1002/pfi.4160260902
Keller, J. M. (1987a). Strategies for stimulating the motivation to learn. Performance + Instruction, 26(8), 1–7. https://doi.org/10.1002/pfi.4160260802
Khan, T. M. (2010). The effects of multimedia learning on children with different special education needs. Procedia - Social and Behavioral Sciences, 2(2), 4341–4345. https://doi.org/10.1016/j.sbspro.2010.03.690
McCulloch, L. (2006). The relationship among hope, optimism, gender, and academic achievement, undergraduate research. 1-22. https://doi.org/14288/1.0086056
Oldknow, A. (2001). Teaching and learning geometry 11–19. Royal Society.
Oweis, T. I. (2018). Effects of using a blended learning method on student’s achievement and motivation to learn English in Jordan: A pilot case study. Education Research International, 2018, 1–7. https://doi.org/10.1155/2018/7425924
Reiser, R. A. (2007). What field did you say you were in. Trends and Issues in Instructional Design and Technology, 2–9.
Rhine, S., & Bailey, M. (2011). Collaborative software and focused distraction in the classroom (revised). Journal of Technology and Teacher Education, 19(4), 423–447.
Solvang, L., & Haglund, J. (2021). How can GeoGebra support physics education in upper-secondary school—A review. Physics Education, 56(5). https://doi.org/10.1088/1361-6552/ac03fb, PubMed: 055011
Song, S. H., & Keller, J. M. (2001). Effectiveness of motivationally adaptive computer-assisted Instruction on the dynamic aspects of motivation. Educational Technology Research and Development, 49(2), 5–22. https://doi.org/10.1007/BF02504925
Sulistiowati, D. L., Herman, T., & Jupri, A. (2019). Student difficulties in solving geometry problem based on Van Hiele thinking level. In Proceeding International Conference on Mathematics and Science Education (ICMScE 2018), 5 May 2018 (pp. 1-7). https://doi.org/10.1088/1742-6596/1157/4/042118
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