Integration of computational thinking activities in Grade 10 mathematics learning

Abstract

This study explored integrating computational thinking (CT) activities in mathematics learning in Grade 10 classrooms in South African township, suburban and independent schools. The inquiry adopted a mixed method approach as part of an exploratory, descriptive survey design and involved purposively selected Grade 10 learners as participants. Quantitative data were collected through the administration of questionnaires among the participants. Qualitative data was collected through semi-structured interviews and activities involving integrating computational thinking activities in mathematics learning. The empirical investigation underpins the Cultural Historical Activity Theory (CHAT) as the theoretical framework. Key findings from the study revealed that the integration of computational thinking activities in mathematics learning promises to be an effective means to enhance learners’ understanding of mathematics content. In addition, the participants demonstrated a positive disposition towards computational thinking. The participants perceived computational thinking as a vital tool that can be harnessed to develop problem-solving skills in mathematics classrooms. The study findings provide critical theoretical implications for pedagogic innovation.

Authors & affiliations

Sam Ramaila
Affiliation not supplied

Hlulani Shilenge
Affiliation not supplied

Deposited references

Supplied references, not a list of publications citing this article.

DOI: 10.1109/ICSECS52883.2021.00125

DOI: 10.1093/comjnl/bxs074

DOI: 10.1109/CLEI.2012.6427135

DOI: 10.1186/s41039-016-0036-2

BCS, The Chartered Institute for IT. (2014). Call for evidence - UK Digital Skills Taskforce.

DOI: 10.1007/s10956-015-9552-x

Bocconi, S., Chioccariello, A., Dettori, G., Ferrari, A., & Engelhardt, K. (2016). Developing Computational Thinking in Compulsory Education: Implications for Policy and Practice. EUR 28295 EN. https://doi. org/10.2791/792158.

Burns, A.C. & Bush, R.F. (2006). Marketing Research (5th edition). New Jersey: Prentice Hall.

DOI: 10.1016/j.ijcci.2018.06.005

DOI: 10.1109/FIE.2017.8190655

Creswell, J.W. & Plano Clark, V.L. (2011). Designing and conducting mixed method research. 2nd Sage; Thousand Oaks, CA.

DOI: 10.29329/ijpe.2020.268.6

DOI: 10.1145/2998438

Engeström, Y. (1987). Learning by Expanding: An Activity-Theoretical Approach to Developmental Research. Helsinki: Orienta Konsultit Oy.

DOI: 10.1017/CBO9780511812774.025

Fu, J.S. (2013). ICT in education: A critical literature review and its implications. International Journal of Education and Development using Information and Communication Technology (IJEDICT), 9(1), 112-125.

Gadanidis, G., Cendros, R., Floyd, L., & Namukasa, I. (2017). Computational thinking in mathematics teacher education. Contemporary Issues in Technology and Teacher Education, 17(4), 458-477. https://www.learntechlib.org/primary/p/173103/.

Gay, Mills, & Airasian (2011). Educational research: Competencies for analysis and applications (10th edition).

DOI: 10.1007/s40751-019-00056-1

DOI: 10.1145/2513456.2513484

DOI: 10.3102/0013189X12463051

DOI: 10.1080/08993408.2015.1033142

DOI: 10.1145/1227310.1227378

DOI: 10.1145/3408877.3432400

DOI: 10.1007/s40751-017-0031-2

DOI: 10.1109/ETCS.2010.200

Lockwood, E., Dejarnette, A. F., & Thomas, M. (2016). Algorithmic thinking: an initial characterization of computational thinking in mathematics. Paper presented at the Annual Meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education (38th, Tucson, AZ, Nov 3-6, 2016).

DOI: 10.1145/1539024.1508959

DOI: 10.1016/j.compedu.2019.103759

DOI: 10.22460/infinity.v8i2.p109-116

Namukasa, I. K., Patel, M., & Miller, M. (2017). Introductory CT and Math in the middle grades: Tools and Resources. Math + Code ‘Zine, 2 (2). http://researchideas.ca/mc/ct-and-math-in-middle-grades/.

DOI: 10.5815/ijmecs.2016.11.01

Patton, M.Q. (2002). Qualitative research and evaluation methods. 3rd Sage Publications; Thousand Oaks, CA.

DOI: 10.1080/10986065.2018.1403543

DOI: 10.1080/1046560X.2021.1970088

DOI: 10.1145/3287324.3287469

Saldana, J. (2009). The Coding Manual for Qualitative Researchers. London: SAGE Publications.

DOI: 10.1016/j.edurev.2017.09.003

DOI: 10.1007/s10758-017-9328-x

DOI: 10.1145/2999541.2999542

Voskoglou, M. G., & Buckley, S. (2012). Problem Solving and Computers in a Learning Environment. In Egyptian Computer Science Journal, ECS (Vol. 36, Issue 4).

DOI: 10.1007/978-3-319-08189-2_3

Wilkerson, M. & Fenwick, M. (2016). The practice of using mathematics and computational thinking. In C. V. Schwarz, C. Passmore, & B. J. Reiser (Eds.), Helping Students Make Sense of the World Using Next Generation Science and Engineering Practices. Arlington, VA: National Science Teachers’ Association Press.

DOI: 10.1145/1118178.1118215

DOI: 10.1080/08993408.2018.1560550

DOI: 10.1145/2576872

DOI: 10.1145/2994591

DOI: 10.20897/ejsteme/9560