Mathematics and Technology Integrated Education in Malaysia
Keywords:
technology integrated, mathematics education, university students, mathematics achievementAbstract
The goals of the mathematics curriculum reform are: to provide basic mathematics content for future university students studying the natural sciences, secure mathematics teaching time to develop mathematical creativity in communication and problem solving and solve individual differences in learning mathematics. By necessity, the Ministry of Educational (MOE) reformed the national curriculum for elementary, middle and high schools in 2017. The goals of this reform are to identify the similarities and differences between the national, district, school and individual levels, to promote learners’ autonomy and creativity, to establish education with schools, teachers, students and parents, to develop school educational plans and to keep and manage their quality in achievement. Based on the goals, the 2017 mathematics curriculum has been developed. In the newest reform, the authors describe the directions of the new curriculum and the circumstances of mathematics pre-university level students in Malaysia.
References
Baruah, N., Ellis, E., Gill, M. & Greenhow, M. (2005) Recent Developments in Setting and using Objective Tests in Mathematics using QM Perception, in Proceeding of CAA Conference 2005.
Chalmers, D., and McAusland, W.D.M. (2002) Computer-assisted Assessment. In The Handbook for Economics Lecturer: Assessment. Edited by J. Houston and D. Whigham, Economics LTSN.
Cohen, J. (1992). Statistical power analysis. Current directions in psychological science, 1(3), 98 101.
Foltz, P. W., Landauer, T. K. and Laham, D. (2004) The Intelligent Essay Assessor: Applications to Educational Technology, Interactive Multimedia Electronic Journal of Computer-Enhanced Leaning, Vol. 2, No. 4.
Horan, M. J. (1987). Report of the second Task Force on Blood Pressure Control in Children―1987. Pediatrics, 79(1), 1-25.
Howell, D. C, Crawford, J. R., & Garthwaite, P. H. (2009). On comparing a single case with a control sample: An alternative perspective.Neuropsychologia, 47(13), 2690-2695.
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.
Kharuddin, A. F., Azid, N., Mustafa, Z., Kamari, M. N., Ibrahim, K. F. K., & Kharuddin, D. (2020) Determination of Sample Size in Early Childcare Centre (TASKA) Service Project in Malaysia: Classification and Analytical Approach.
Kish, L. (1965). Selection techniques for rare traits. Genetics and the epidemiology of chronic diseases, 165-176.
Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educ Psychol Meas.
Larson, R., Hostetler, R. P., & Edwards, B. (2007). College algebra: A graphing approach. Cengage Learning.
NCTM (2000) National Council of Teachers of Mathematics: Principle and Standards for School Mathematics. Reston, Virginia, USA.
Neumann, D. A., Houskamp, B. M., Pollock, V. E., & Briere, J. (1996). The long-term sequelae of childhood sexual abuse in women: A meta-analytic review. Child maltreatment, 1(1), 6-16.
O'Dwyer, L., Russell, M., Bebell, D., & Tucker-Seeley, K. R. (2015). Examining the relationship between home and school computer use and students’ English/language arts test scores. The Journal of Technology, Learning and Assessment, 3(3).
Patel, A., Kinshuk, K. and Russel, D. (1998) A Computer Based Intelligent Assessment System for Numeric Disciplines, Information Services & Use, Vol. 18, No. 1-2, pp. 53-63, Amsterdam. Ross, S. M., & Anand, P. G. (1987). A computer-based strategy for personalizing verbal problems in teaching mathematics. ECTJ, 35(3), 151-162.
Tabachnick, B. G. & Fidell, L. S. (2007). Using Multivariate Statistics. New York: Allyn and Bacon. Texas Instrument Incorporated (2010), Automated Online Testing & Assessment, online at http://education.ti.com/en/us/customer support/training_online_tutorials/graphingcalculators? keyMatch=graphing%20calculator&tisearch=Search-EN.
Thomas, R., Ashton, B., Beevers, C., Edwards, D. and Milligan, C. (2014) Assessing Higher Order Skills Using Simulations, proceeding of CAA Conference 2004.
Van Tassel-Baska, J. (1997). Excellence as a standard for all education. Poeper Review,20(1), 9-12.
Whittington, D. and Hunt, H. (1999). Approaches to the computerized assessment of free text responses, proceeding of the Third Annual Computer Assisted Assessment Conference, pp. 207-219.
Downloads
Published
Issue
Section
License
Copyright (c) 2021 Azrul Fazwan Kharuddin, Norazura Azid
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Published by University Tun Abdul Razak (UNIRAZAK)
