Early Undergraduate Emirati Female Students’ Beliefs about Learning Mathematics Using Technology
Covid-19 has accelerated the speed of technocratic transformation in teaching and learning. Previous researches on whether technology enhances student.
- Pub. date: July 15, 2020
- Pages: 1235-1255
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Covid-19 has accelerated the speed of technocratic transformation in teaching and learning. Previous researches on whether technology enhances students’ motivation towards learning or burdens them with additional layer of anxiety in learning the nitty gritty of technology itself have mixed results. The purpose of this study was to explore early undergraduate students’ beliefs about learning mathematics with technology. These research participants were first-year female undergraduate students in a public university in the United Arab Emirates (UAE). The study comprised of phase one with qualitative task-based interviews with four female first-year undergraduate students. Phase two included a quantitative belief survey with a sample of 62 students from the same institution. I constructed four major belief categories from the iterative process of interview data analysis– technology for computing and graphing, technology for speed and accuracy, technology for a short-cut but not for meaning, and affective aspects of beliefs. The quantitative survey result demonstrated that a majority of participants (about 75.8%) were found to be using some kinds of technological tools while learning mathematics. About 90% of them reported using a calculator while learning mathematics. A majority of participants (54.9%) believed that technology helps them in learning mathematics, and about 50% of them also believed that the use of technology improves their learning of mathematics.
student beliefs technology integration radical constructivist grounded theory rcgt learning mathematics
Keywords: Student beliefs, technology integration, radical constructivist grounded theory (RCGT), learning mathematics.
References
Alsaleh, S. H. A. K. (2014). Principals’ integration of technology in education at Sharjah city government schools [Unpublished master’s thesis]. United Arab Emirates University.
Ardies, J., De Maeyer, S., Gijbels, D., & Van Keulen, H. (2015). Students’ attitudes towards technology. International Journal of Technology and Design Education, 25(1), 43-65.
Beckman, K. A. (2015). Secondary school students’ technology practice in their everyday lives and at school [Unpublished doctoral dissertation]. University of Wollongong.
Belbase, S. (2019). Meanings, dimensions, and categories of mathematics teacher beliefs: A navigation through the literature. International Journal on Emerging Mathematics Education, 3(1), 1-26. https://dx.doi.org/10.12928/ijeme.v3i1.11494
Belbase, S. (2018). Radical constructivist grounded theory for researching and teaching mathematics. Shiksha: Biannual Education Journal, 34(2), 193 – 208.
Belbase, S. (2017). Attitudinal and cognitive beliefs of two preservice secondary mathematics teachers. International Journal of Research in Education and Science, 3(2), 307-326. https://doi.org/10.21890/ijres.327886
Belbase, S. (2015). Preservice secondary mathematics teachers’ beliefs about learning mathematics with technology [Unpublished doctoral dissertation]. University of Wyoming].
Belbase, S. (2013). Images, anxieties and attitudes toward mathematics. International Journal of Education in Mathematics, Science, and Technology, 1(4), 230-237.
Bennison, A., & Goos, M. (2010). Learning to teach mathematics with technology: A survey of professional development needs, experiences, and impacts. Mathematics Education Research Journal, 22(1), 31-56.
Benton, L., Saunders, P., Kalas, I., Hoyles, C., & Noss, R. (2018). Designing for learning mathematics through programming: A case study of pupils engaging with place value. International Journal of Child-Computer Interaction, 16, 68-76.
Bray, A., & Tangney, B. (2017). Technology usage in mathematics education research: A systematic review of recent trends. Computer & Education, 114, 255-273.
Burrill, G. (2002). Handheld graphing technology in secondary mathematics: Research findings and implications for classroom practice. Texas Instruments. https://education.ti.com/sites/SVERIGE/downloads/Researchresources/Burrill_G_(2002).pdf
Charmaz, K. (2006). Constructing grounded theory: A practical guide through qualitative analysis. Sage Publications, Inc.
Cheung, A., & Slavin, R. E. (2011). The effectiveness of education technology applications for enhancing mathematics achievement in K-12 classrooms: A meta-analysis. Educational Research Review, 9(2013), 88-113. https//doi.org/10.1016/j.edurev.2013.01.001
Coley, R. J., Cradler, J., & Engel, P. K. (1997). Computers and classrooms: The status of technology in U.S. schools. ETS Policy Information Center.
Crompton, H., Grant, M. R., & Shraim, K. Y. H. (2018). Technologies to Enhance and Extend Children’s Understanding of Geometry: A Configurative Thematic Synthesis of the Literature. Educational Technology & Society, 21(1), 59–69.
Drier, H. S. (2001). Teaching and learning mathematics with interactive spreadsheets. School Science and Mathematics, 101(4), 170-179. https://doi.org/10.1111/j.1949-8594.2001.tb18020.x
Drijvers, P., Monaghan, J., Thompson, M., & Trouche, L. (2015). Use of technology in secondary mathematics [Final Report of the International Baccalaureate]. https://www.ibo.o1rg/globalassets/publications/ib-research/technologyindpmathematicsfinalreport.pdf
De Vries, M. J. (1988). Prefschrift: Techniek in het natuurkunde-onderwijs [Trans. Book review: Technology in physics educaiton]. Technische Universiteit Eindhoven.
Erens, R., & Eichler, A. (2016). Beliefs and technology. In C. Bernack-Schuler, R. Erens, A. Eichler, & T. Leuders (Eds.), Views and beliefs in mathematics education: Results of the 19th MAVI Conference (pp. 133 – 144). Springer Spektrum.
Furinghetti, F., & Pehkonen, E. (2002). Rethinking characterizations of beliefs. In G. C. Leder, E. Pehkonen, & G. Torner (Eds.), Beliefs: A hidden variable in mathematics education? (pp. 39-58). Kluwer Academic Publishers.
Gijsbers, D., de Putter-Smits, L., & Pepin, B. (2020). Changing students’ beliefs about the relevance of mathematics in an advanced secondary mathematics class. International Journal of Mathematics Education in Science and Technology, 51(1), 87-102. https://doi.org/10.1080/0020739X.2019.1682698
Goldin, G. A. (2002). Affect, meta-affect, and mathematical beliefs structures. In G. C. Leder, E. Pehkonen, & G. Torner (Eds.), Beliefs: A hidden variable in mathematics education? (pp. 59-72). Kluwer Academic Publishers.
Gomez-Chacon, I. M. (2015). Meta-emotion and mathematical modeling processes in computerized environments. In B. Pepin & B. Roesken-Winter (Eds.), From beliefs to dynamic affect systems in mathematics education (pp.201-226). Springer.
Goos, M. (2010). Using technology to support effective mathematics teaching and learning: What counts? In C. Glascodine & K.-A. Hoad (Eds.), Australian Council for Educational Research Conference Proceedings 2010, (pp. 67– 70). ACER.
Grootenboer, P., & Marshman, M. (2016). Mathematics, affect, and learning: Middle school students’ beliefs and attitudes about mathematics education. Springer.
Gudek, B. (2019). Computer self-efficacy perceptions of music teacher candidates and their attitudes toward digital technology. European Journal of Educational Research, 8(3), 683-696. https://doi.org/10.12973/eu-jer.8.3.683
Han, O. B., Halim, N. D. B. A., Shariffuddin, R. S. B., & Abdullah, Z. B. (2013). Computer based courseware in learning mathematics: Potentials and constraints. Procedia – Social and Behavioral Science, 103, 238-244. https://doi.org/10.1016/j.sbspro.2013.10.331
Hart, L. E. (1989). Describing the affective domain: Saying what we mean. In D. B. McLeod & V. Adams (Eds.), Affect and mathematical problem solving: A new perspective (pp. 33-45). Springer-Verlag.
Havelka, D. (2003). Student beliefs and attitudes toward information technology. Information Systems Education Journal, 1(40), 3-9.
Hawkins, A. (1997). Myth conceptions. In J. B. Garfield, G. Burrill & J. Schleisman (Eds.), Research on the role of technology in teaching and learning statistics (pp. 1-14). International Statistics Institute.
Hew, K. F., & Brush, T. (2007). Integrating technology into K-12 teaching and learning: Current knowledge gaps and recommendations for future research. Education Technology Research and Development, 55, 223-252. https://doi.org/10.1007/s11423-006-9022-5
Kloosterman, P. (2002). Beliefs about mathematics and mathematics learning in the secondary school: Measurement and implications for motivation. In G. C. Leder, E. Pehkonen, & G. Torner (Eds.), Beliefs: A hidden variable in mathematics education? (pp. 247-269). Kluwer Academic Publishers.
Kul, U. (2018). Influences of technology integrated professional development course on mathematics teachers. European Journal of Educational Research, 7(2), 233-243. https://doi.org/10.12973/eu-jer.7.2.233
LaFrance, J. A., & Beck, D. (2018). Learner self-efficacy in K-12 online environments. In C. B. Hodges (Ed), Self-efficacy in instructional technology contexts (pp. 229-244). Springer Nature.
Leatham, K. R. (2002). Pre-service secondary mathematics teachers’ beliefs about teaching with technology [Unpublished doctoral dissertation]. University of Georgia.
Lester, F. K., Garofalo, J., & Kroll, D. L. (1989). Self-confidence, interest, beliefs, and metacognition: Key influences on problem-solving behavior. In D. B. McLeod & V. Adams (Eds.), Affect and mathematical problem solving: A new perspective (pp. 75- 88). Springer-Verlag.
Letwinsky, K. M., & Berry, M. D. (2017). Technology integration and the effect on mathematics fact fluency in the Middle East. Journal of International Education and Leadership, 7(1), 2161-7252.
Li, Q. (2007). Student and teacher views about technology: A tale of two cities? Journal of Research on Technology in Education, 39(4), 377-397.
Lund, F. H. (1925). The psychology of belief: The law of primacy in persuasion. Journal of Abnormal and Social Psychology, 20(July), 183-191.
MacDonald, B., Atkin, R., Jenkins, D., & Kemmis, S. (1977). Computer assisted learning: Its educational potential. The Council for Educational Technology.
Marshall, J. M. (2002). Learning with technology: Evidence that technology can and does support learning. A white paper prepared for Cable in the classroom. CIC Report Learning with Technology.
National Council of Teachers of Mathematics. (1989). Curriculum and evaluation standards for school mathematics. NCTM.
National Council of Teachers of Mathematics. (2000). Principles and standards for school mathematics. NCTM.
Op’t Eynde, P., De Corte, E., & Verschaffel, L. (2002). Framing students’ mathematics-related beliefs: A quest for conceptual clarity and a comprehensive categorization. In G.C. Leder, E. Pehkonen, & G. Torner (Eds.), Beliefs: A hidden variable in mathematics education (pp. 13-38). Kluwer Academic Publisher.
Pajares, F. (1992). Teachers’ beliefs and educational research: Cleaning up a messy construct. Review of Educational Research, 62(3), 307-322.
Polanco, M. B., Novelo, D. C., Hernandez, S. V., & Gonzalez, F. H. (2013). Students’ beliefs about the use of technology in learning English: A case of a Mexican university. Journal of Teaching and Education, 2(3), 199-212.
Ruthven, K., Hennessy, S., & Brindley, S. (2004). Teacher representation of the successful use of computer-based tools and resources in secondary-school English, mathematics, and science. Teaching & Teacher Education, 20(3), 259-275. https://doi.org/10.1016/j.tate.2004.02.002
Salomon, G., & Perkins, D. (1996). Learning in wonderland: What computers really offer education. In S. Kerr (Ed.), Technology and the future of education (pp. 111-130). NSSE Year Book. University of Chicago Press.
Santoso, H. B., Lawanto, O., Berliyanto, B., & Janf, P. (2018). Secondary school students’ computer self-efficacy and their perception on computer-related tasks in Indonesia. In C. B. Hodges (Ed), Self-efficacy in instructional technology contexts (pp. 245-258). Springer Nature.
Schoenfeld, A. H. (1985). Mathematical problem solving. Academic Press.
Shi, Y. (2005). Building math confidence in classroom learning using Microsoft Excel. Online Journal for Workforce Education and Development, 1(2), 1-14.
Shifflet, R., & Weilbacher, G. (2015). Teacher beliefs and their influence on technology use: A case study. Contemporary Issues in Technology and Teacher Education, 15(3), 368-394.
Spangler, D. A. (1992). Assessing students’ beliefs about mathematics. The Mathematics Educator, 3(1), 19-23.
Suratno, A., & Aydawati, E. N. (2016). Indonesian high school students’ beliefs about the use of information and communication technology for language learning. International Journal of Information and Communication Technology Research, 6(11), 1-7.
Teo, T. (2012). Modelling the influences of beliefs on pre-service teachers’ attitudes towards computer use. European Journal of Educational Research, 1(1), 13-22. https://doi.org/10.12973/eu-jer.1.1.13
Treacy, A. L. (1996). Learning styles, feelings and beliefs about technology and mathematics achievement (Order No. 9612320). ProQuest Dissertations & Theses Global. (304295083).
Utterberg, M., & Lundin, J. (2017). “What is the benefit of that?” Mathematics teachers’ motives in discarding digital technology in their teaching. Selected Papers of the IRIS, 8, 76-88.
Von Glasersfeld, E. (1995). Radical constructivism: A way of knowing and learning. Routledge Falmer.
Walen, S. B., Williams, S. R., & Garner, B. E. (2003). Pre-service teachers learning mathematics using calculators: A failure to connect current and future practice. Teaching & Teacher Education, 19(4), 445-462. https://doi.org/10.1016/S0742-051X(03)00028-3
Yang, X., &. Leung, F. K. S. (2015). The relationships among pre-service mathematics teachers’ beliefs about mathematics, mathematics teaching, and use of technology in China. Eurasia Journal of Mathematics, Science & Technology Education, 11(6), 1363-1378. https://doi.org/10.12973/Eurasia.2015.1393a
Young, J. (2017). Technology-enhanced mathematics instruction: A second-order meta-analysis of 30 years of research. Educational Research Review, 22, 19-33. https://doi.org/10.1016/j.edurev.2017.07.00