This study aims to investigate the effects of scientific calculators on mathematics achievement in support of problem-solving instructions. In this study, 49 low achieving mathematics students aged 14 years were selected from a secondary school in Kajang, Selangor, Malaysia. A pre-test post-test quasi-experimental design with two groups was employed in this action research study. The experimental group learned solid geometry and statistics topics, with the aid of a scientific calculator; while the control group did not use any technological aid to learn these topics. By controlling the pre-test score, the ANCOVA two-way test was applied to the post-test results. A positive significant difference was reported in favour of the experimental group. However, no significant interactions were noted between group and gender. The analysis results indicate that the use of a scientific calculator in the integrated teaching and learning of mathematics helped the students improved their mathematics achievements. These findings have important implications in the educational setting, particularly for educators to support and facilitate low-achieving students in mathematics.

• Agustyaningrum, N., Abadi, A. M., Sari, R. N., & Mahmudi, A. (2018). An analysis of students’ error in solving abstract Algebra tasks. Journal of Physics: Conference Series, 1097(1), 1–13. doi: 10.1088/1742-6596/1097/1/01211

• Ahmad, N., Hassan, S. A., Ahmad, A. R., Lay Nee, C., & Othman, N. H. (2017). The trend of academic achievement among Malaysian boys and girls: Where are the boys? Global Journal of Business & Social Science Review, 5(1), 1–8.

• Banks, S. (2011). A historical analysis of attitudes toward the use of calculators in junior high and high school math classrooms in the United States since 1975 [Master thesis]. Cedarville University.

• Bridget, M. S. (2016). The influence of using a scientific calculator in learning fractions: A case study of one school in Gauteng Province [Master thesis]. University of South Africa https://www.semanticscholar.org/paper/The-influence-of-using-a-scientific-calculator-in-%3A-Mutsvangwa/1a05f458a4ee6ce01ba57b05fa884802b41fc189?p2df

• Ceker, E., & Ozdamli, F. (2016). Features and characteristics of problem based learning. Cypriot Journal of Educational Sciences, 11(4), 195–202.

• Costley, K. C. (2015). Research supporting integrated curriculum: Evidence for using this method of instruction in public school classrooms [PhD thesis]. Arkansas Tech University.

• Darling-Hammond, L., Flook, L., Cook-Harvey, C., Barron, B., & Osher, D. (2020). Implications for educational practice of the science of learning and development. Applied Developmental Science, 24(2), 97–140. doi: 10.1080/10888691.2018.153779

• Davies, R. S., & West, R. E. (2014). Technology integration in schools. In M. Spector, M. Merrill, J. Elen, & M. J. Bishop (Eds.), Handbook of research on educational communications and technology (4th Ed., pp. 841–853). Springer.

• Embong, Z., Khalid, M., Adnan, N. S. M., & Razikin, M. (2020). Exploration of the low arithmetic achievement on primary students: Teacher’s perspectives. Journal of Physics: Conference Series, 1529(3), 1–8. doi: 10.1088/1742-6596/1529/3/03201

• Gevrek, Z. E., Gevrek, D., & Neumeier, C. (2020). Explaining the gender gaps in mathematics achievement and attitudes: The role of societal gender equality. Economics of Education Review, 76, 1–31. doi: 10.1016/j.econedurev.2020.10197

• Ghavifekr, S., & Rosdy, W. A. W. (2015). Teaching and learning with technology: Effectiveness of ICT integration in schools. International Journal of Research in Education and Science (IJRES), 1(2), 175–191.

• Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135.

• Kandemir, M. A., & Demirbag Keskin, P. (2019). Effect of graphing calculator program supported problem solving instruction on mathematical achievement and attitude. International Journal of Research in Education and Science (IJRES), 5(1), 203–223.

• Kharuddin, A. F., & Ismail, N. A. (2017). Graphing calculator exposure of mathematics learning in a partially technology incorporated environment. EURASIA Journal of Mathematics, Science and Technology Education, 13(6), 2529–2537. doi: 10.12973/eurasia.2017.01238

• Kissane, B. (2020). Integrating technology into learning mathematics: The special place of the scientific calculator. Journal of Physics: Conference Series, 1581(1), 1–15. doi: 10.1088/1742-6596/1581/1/01207

• Klein, D. (2000). Math problems: Why the department of education’s recommended math programs don’t add up. American School Board Journal, 187(4), 52–57.

• Line, B. (2020). The effects of restrictions on calculator usage in high school Algebra 1 Classes [PhD thesis]. Ohio Dominican University.

• Marasigan, N. V. (2018). Examining calculator use in the mathematics classroom. International Journal of Recent Innovations in Academic Research, 2(8), 165–170.

• Marc Jackman, W., Morrain-Webb, J., & Fuller, C. (2019). Exploring gender differences in achievement through student voice: Critical insights and analyses. Cogent Education, 6(1), 1–19. doi: 10.1080/2331186X.2019.156789

• Mills, G. E. (2000). Action research: A guide for the teacher researcher. Prentice-Hall, Inc.

• Mishra, P., Pandey, C. M., Singh, U., Gupta, A., Sahu, C., & Keshri, A. (2019). Descriptive statistics and normality tests for statistical data. Annals of Cardiac Anaesthesia, 22(1), 67–72.

• Muhammad Hafizi, M. H., & Kamarudin, N. (2020). Creativity in mathematics: Malaysian perspective. Universal Journal of Educational Research, 8(3), 77–84.

• National Council of Teachers of Mathematics. (2000). Principles and standards for school mathematics. NCTM.

• Nevid, J. S., & Gordon, A. J. (2018). Integrated learning systems: Is there a learning benefit? Teaching of Psychology, 45(4), 340–345. doi: 10.117/0098628318796920

• Ochanda, J. P., & Indoshi, F. C. (2011). Challenges and benefits of using scientific calculators in the teaching and learning of Mathematics in secondary school education. Journal of Media and Communication Studies, 3(3), 102–111. doi: 10.5897/JMCS.900001

• Parker, P. D., Van Zanden, B., & Parker, R. B. (2018). Girls get smart, boys get smug: Historical changes in gender differences in math, literacy, and academic social comparison and achievement. Learning & Instruction, 54, 125–137. doi: 10.1016/j.learninstruc.2017.09.00

• Parrot, M. A. S., & Leong, K. E. (2018). Impact of using graphing calculator in problem solving. International Electronic Journal of Mathematics Education, 13(3), 139–148. doi: 10.12973/iejme/270

• Parsons, R., & Brown, K. (2002). Teacher as reflective practitioner and action researcher. Wadsworth.

• Pigdon, K., & Woolley, M. (1992). The BIG picture. Eleanor Curtain Publishing.

• Price, J. K. (2015). Transforming learning for the smart learning environment: Lessons learned from the Intel education initiatives. Smart Learning Environments, 2(1), 1–16. doi: 10.1186/s40561-015-0022-

• Ramlal, A., & Augustin, D. S. (2020). Engaging students in reflective writing: An action research project. Educational Action Research, 28(3), 518–533. doi: 10.1080/09650792.2019.159507

• Rebecca, G. (2013). Research summary – A brief review of calculator usage in mathematics. Cambridge: Assessment research and development. Cambridge Assessment.

• Sivasubramaniam, P. A. P., & Kamarudin, N. (2020). Using ordering tasks to determine fraction magnitudes. Universal Journal of Educational Research, 8(1), 147–155.

• Stephan, M. (2014). Learner-centered teaching in mathematics education. In L. Stephan (Ed.), Encyclopedia of mathematics education (pp. 338-343). Springer.

• Tajudin, N. A. M., & Chinnappan, M. (2016). The link between higher order thinking skills, representation and concepts in enhancing TIMSS tasks. International Journal of Instruction, 9(2), 199–214. doi: 10.12973/iji.2016.9214

• Taylor, A., & Dalal, H. A. (2017). Gender and information literacy: Evaluation of gender differences in a student survey of information sources. College and Research Libraries, 78(1), 90–113. doi: 10.5860/crl.78.1.9

• The Star. (2003, March 14). Scientific calculators allowed. The Star. https://www.thestar.com.my/news/education/2003/03/16/scientific-calculators-allowed

• Thien, L. M., & Ong, M. Y. (2015). Malaysian and Singaporean students’ affective characteristics and mathematics performance: Evidence from PISA 2012. SpringerPlus, 4(1). doi: 10.1186/s40064-015-1358-

• Wong, S. L., & Wong, S. L. (2019). Relationship between interest and mathematics performance in a technology-enhanced learning context in Malaysia. Research and Practice in Technology Enhanced Learning, 14(1), 21–34. doi: 10.1186/s41039-019-0114-

• Young, J. (2017). Technology-enhanced mathematics instruction: A second-order meta-analysis of 30 years of research. Educational Research Review, 22, 19–33. doi: 10.1016/j.edurev.2017.07.01