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Learner perceptions of the introduction of computer-assisted learning in mathematics at a peri-urban school in South Africa

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Abstract

This study responded to a national call to improve the outcomes in mathematics in the Grade 12 matriculation examination in South Africa by reporting learners’ perceptions of the introduction of computer-assisted learning in their mathematics classrooms. Three Grade 12 mathematics classes in a peri-urban school in South Africa were visited over a period of 4 months to observe the inclusion of a computer centre as part of the teaching of mathematics. Learner perceptions were obtained from (1) individual and group interviews and (2) an actual and preferred version of a learning environment instrument called the Computer-Assisted Learning Environment Questionnaire, which was developed for the South African context. Learners indicated that they considered application of computers as a positive step as it (1) increased their involvement in the mathematics classroom, (2) gave them more exercises in problem solving in mathematics, and (3) provided them with the opportunity to assess their own learning. However, a strong recommendation from this response is for more computers to be made available in order to allow learners to work individually and thereby be able to spend more time using the computers.

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References

  • Aldridge, J. M., & Fraser, B. J. (2008). Outcomes-focussed learning environments: Determinants and effects. Rotterdam, The Netherlands: Sense.

    Google Scholar 

  • Aldridge, J. M., Fraser, B. J., & Laugksch, R. C. (2011). Relationship between the school-level and classroom-level environment in secondary schools in South Africa. South African Journal of Education, 22, 37–55.

    Google Scholar 

  • Aldridge, J. M., Fraser, B. J., & Sebela, M. P. (2004). Using teacher action research to promote constructivist learning environments in South Africa. South African Journal of Education, 24, 245–253.

    Google Scholar 

  • Aldridge, J. M., Laugksch, R. C., & Fraser, B. J. (2006a). School-level environment and outcomes-based education in South Africa. Learning Environments Research, 9, 123–147.

    Article  Google Scholar 

  • Aldridge, J. M., Laugksch, R. C., Seopa, M. A., & Fraser, B. J. (2006b). Development and validation of an instrument to monitor the implementation of outcomes-based learning environments in science classrooms in South Africa. International Journal of Science Education, 28, 45–70.

    Article  Google Scholar 

  • Bennett, J. P. (1992). Computers in mathematics education: A ‘not really for the researcher’ review of recent unique findings. School Science and Mathematics, 92, 38–39.

    Article  Google Scholar 

  • Buerck, J. P., Malmstrom, T., & Peppers, E. (2003). Learning environments and learning styles: Non-traditional student enrolment and success in an internet-based versus a lecture-based computer science course. Learning Environments Research, 6, 137–155.

    Article  Google Scholar 

  • Cornu, B. (1995). New technologies: Integration into education. In D. Watson & D. Tinsley (Eds.), Integrating information technology into education (pp. 3–19). London: Chapman and Hall.

  • Fisher, D. L., & Fraser, B. J. (2003). Emergence of learning environment research in South Africa: Editors’ introduction. Learning Environments Research, 6, 229–230.

    Article  Google Scholar 

  • Fraser, B. J. (1990). Individualised Classroom Environment Questionnaire. Melbourne, Victoria: Australian Council for Educational Research.

    Google Scholar 

  • Fraser, B. J. (1998). Science learning environments: Assessment, effects and determinants. In B. J. Fraser & K. G. Tobin (Eds.), International handbook of science education (pp. 527–564). Dordrecht, The Netherlands: Kluwer.

    Chapter  Google Scholar 

  • Fraser, B. J. (2012). Classroom learning environments: Retrospect, context and prospect. In B. J. Fraser, K. G. Tobin, & C. J. McRobbie (Eds.), Second international handbook of science education (pp. 1191–1239). New York: Springer.

    Chapter  Google Scholar 

  • Fraser, B. J., McRobbie, C. J., Fisher, D. L. (1996, April). Development, validation and use of personal and class forms of a new classroom environment instrument. Paper presented at the Annual meeting of the American Educational Research Association, New York.

  • Fraser, B. J., McRobbie, C. J., & Giddings, G. J. (1993). Development and cross-national validation of a laboratory classroom environment instrument for senior high school science. Science Education, 77, 1–24.

    Article  Google Scholar 

  • Geban, Ö., Askar, P., & Özkan, I. (1992). Effects of computer simulations and problem solving approaches on high school students. Journal of Educational Research, 86, 5–10.

    Article  Google Scholar 

  • Hakkarainen, K. (2003). Emergence of progressive-inquiry culture in computer-supported collaborative learning. Learning Environments Research, 6, 199–220.

    Article  Google Scholar 

  • Hartley, M.S. (2002). The effectiveness of an outreach programme in science and mathematics for disadvantaged Grade 12 students in South Africa. Unpublished doctoral thesis, Curtin University of Technology Perth, Australia.

  • Hartley, M. S., & Treagust, D. F. (2006). Learning physical science in a rural South African school: A case study of student perceptions of the value of computer-assisted learning. Science Education International, 17, 13–29.

    Google Scholar 

  • Hartley, M. S., Treagust, D. F., & Ogunniyi, M. B. (2008). The application of a CAL strategy in science and mathematics for disadvantaged Grade 12 learners in South Africa. International Journal of Educational Development, 28, 596–611.

    Article  Google Scholar 

  • Khoo, H. S., & Fraser, B. J. (2008). Using classroom psychological environment in the evaluation of adult computer application courses in Singapore. Technology, Pedagogy and Education, 17, 67–81.

    Google Scholar 

  • Lavonen, J., Aksela, M., & Meisalo, V. (2003). Designing a userfriendly microcomputer-based laboratory package through the factor analysis of teacher evaluations. International Journal of Science Education, 25, 1471–1487.

    Article  Google Scholar 

  • Maor, D., & Fraser, B. J. (1996). Use of classroom environment perceptions in evaluating inquiry-based computer learning. International Journal of Science Education, 18, 401–421.

    Article  Google Scholar 

  • Martin-Dunlop, C., & Fraser, B. J. (2008). Learning environment and attitudes associated with an innovative course designed for prospective elementary teachers. International Journal of Science and Mathematics Education, 6, 163–190.

    Google Scholar 

  • Mills, J., & Treagust, D. F. (2003). Using projects to teach structural engineering. Australian Journal of Structural Engineering, 4(3), 211–220.

    Google Scholar 

  • Nunnally, J. (1978). Psychometric theory. New York: McGraw-Hill.

    Google Scholar 

  • Oshima, J., Oshima, R., Murayama, I., Inagaki, S., Takenaka, M., Nakayama, H., et al. (2004). Design experiments in Japanese elementary science education with computer support for collaborative learning: Hypothesis testing and collaborative construction. International Journal of Science Education, 26, 1199–1221.

    Article  Google Scholar 

  • Snir, J., Smith, C., & Raz, G. (2003). Linking phenomenon with competing underlying models: A software tool for introducing students to the particulate nature of matter. Science Education, 87, 794–830.

    Article  Google Scholar 

  • Soderberg, P., & Price, F. (2003). An examination of problem-based teaching and learning in population genetics and evolution using EVOLVE: A computer simulation. International Journal of Science Education, 25, 35–56.

    Article  Google Scholar 

  • Tao, P.-K. (2004). Developing understanding of image formation by lenses through collaborative learning mediated by multimedia computer-assisted learning programs. International Journal of Science Education, 26, 1171–1197.

    Article  Google Scholar 

  • Teh, G. P., & Fraser, B. J. (1993). A study of computer-assisted learning environments in Singapore. The Study of Learning Environments, 7, 42–56.

    Google Scholar 

  • Teh, G. P., & Fraser, B. J. (1994). An evaluation of computer-assisted learning in terms of achievement, attitudes and classroom environment. Evaluation and Research in Education, 8, 147–161.

    Article  Google Scholar 

  • Waldrip, B. G., & Fisher, D. L. (2003). Identifying exemplary science teachers through their classroom interactions with students. Learning Environments Research, 6(1), 157–174.

    Google Scholar 

  • Walker, S. L., & Fraser, B. J. (2005). Development and validation of an instrument for assessing distance education learning environments in higher education: The distance education learning environments survey (DELES). Learning Environments Research, 8, 289–308.

    Article  Google Scholar 

  • Yalcinalp, S., Geban, Ö., & Özkan, I. (1995). Effectiveness of using computer-assisted supplementary instruction for teaching the mole concept. Journal of Research in Science Teaching, 32, 1083–1095.

    Article  Google Scholar 

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Correspondence to David F. Treagust.

Appendix: Representation of the computer lesson on factorisation

Appendix: Representation of the computer lesson on factorisation

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Hartley, M.S., Treagust, D.F. Learner perceptions of the introduction of computer-assisted learning in mathematics at a peri-urban school in South Africa. Learning Environ Res 17, 95–111 (2014). https://doi.org/10.1007/s10984-014-9157-y

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