Mathematical Cognition and Big Data Analytics: Are Sarawak Teachers Ready?

  • Claudius Mitchell Hamarah UNIMAS
  • Fitri Suraya Mohamad UNIMAS

Abstract

To remain relevant in Sarawak’s Digital Economy Agenda (2018-2020), Mathematics teachers in Sarawak need to align their content with current expectations for the future workforce in the state. Big data analytics is a crucial driver to the Digital Economy Agenda, as it is stipulated to intensify economic growth in Sarawak. To be fluent in big data analytics, one has to master mathematical cognition. This study investigates the readiness of Mathematics teachers in urban and rural Sarawak, to highlight mathematical cognition in their teaching, to prepare their students for the requirements of big data analytics for the digital economy in Sarawak. The participants are 38 teachers who are currently teaching mathematics in primary and secondary schools from urban and rural areas across Sarawak. Data was collected using an online survey that was distributed via social media. It was found that there was no difference in the choices of teaching strategies used by mathematics teachers in Sarawak despite multiple demographic factors such as gender of their students, types of school, districts and years of teaching experience. Teachers were fully aware of the digital economy agenda, and they were conscious of the current state of their students who were deemed still unprepared to take part in the Sarawak Digital Economy Agenda.

Keywords: Mathematics; Mathematical cognition; Big data analytics; Digital economy

References

Patel, K. K., & Patel, S. M. (2016). Internet of things-IOT: definition, characteristics, architecture, enabling technologies, application & future challenges. International journal of engineering science and computing, 6(5).

Prisecaru, P. (2016). Challenges of the fourth industrial revolution. Knowledge Horizons. Economics, 8(1), 57.

Rashid, N. M. N. N. M., Hamid, N. A., Taib, H. A. M., Noor, R. M., Kurniasari, T. F., & Mulyandi, M. R. (2017). The Influence of Malaysia's Digital Economy on Students' Entrepreneurial Characteristics and Entrepreneurship as Career Choices. World Applied Sciences Journal, 35(8), 1626-1631.

Sun, Z., & Huo, Y. (2019). The Spectrum of Big Data Analytics. Journal of Computer Information Systems, 00(00), 1- 9.

Tcheang, L. (2014). Culture and Math. Cognitive Neuroscience, 5(1), 54-65.

https://doi.org/10.1080/17588928.2013.838552

V. Lazović and T. Duričković, "The digital economy in developing countrieschallenges and opportunities," 2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), Opatija, 2014, pp. 1580-1585.

https://doi.org/10.1109/MIPRO.2014.6859817

Xu, M., David, J. M., & Kim, S. H. (2018). The fourth industrial revolution: opportunities and challenges. International Journal of Financial Research, 9(2), 90-95.

https://doi.org/10.5430/ijfr.v9n2p90

Published
2020-03-31
How to Cite
Hamarah, C. M., & Mohamad, F. S. (2020). Mathematical Cognition and Big Data Analytics: Are Sarawak Teachers Ready? . Journal of Cognitive Sciences and Human Development, 6(1), 12-19. https://doi.org/10.33736/jcshd.1591.2020