Measuring Students' Perception on Mathematics Learning Using Fuzzy Conjoint Analysis
Keywords:fuzzy conjoint analysis, perception, perception measurement
Mathematics courses are widely applied in the overall sector because mathematics is not only about the calculation or formulation, but also help in solving problems using mathematical modelling. Students need to have a good understanding of the theory of mathematics in order to produce the best results. In the world of digitization, subjects in science, technology, engineering and mathematics have become Malaysia’s agenda in the preparation to compete globally. Empowering in these subjects enable the creation of innovators of the future, hence create job opportunities in the digitization world. However, the academic institutions have been facing a critical problem in potential growth of achieving the mission and vision in enhancing the students’ performance when it is related to the students’ interest. This study focuses on students’ perception toward mathematics learning among 60 undergraduate management mathematics major’s students at UiTM Perlis using fuzzy set conjoint analysis. The attribute in each dimension is ranked according to the highest similarities values. The finding showed that students were rated neutral toward the preparation before class (student’s attitude); strongly agree that the lecturers are knowledgeable and well prepared before class (lecturer’s role); and rated neutral on female students are more qualified mathematician and their passion toward mathematics but strongly agreed that mathematics is difficult to understand in short period of time (student’s perspective).
Abdullah, Md.Tap & A, Wong (2011). Fuzzy Set Conjoint Model in Describing Students’ Perceptions on Computer Algebra System Learning Environment. International Journal of Computer Science. Issues, 8(2), 92-97.
Baheri, E., Dalvand,M.R., Ansarinejad, A., & Miri-Nargesi, S. (2011). A Fuzzy Conjoint Analysis Approach for Evaluating Credit Card Services: A Case Study of Iranian Bank. African Journal of Business Management, 5(7), 2753-2765.https://doi.org/10.5897/AJBM10.1104.
Kathiresan.G,, Nur Raidah. S., and Ahmad Fauzi.M.A. (2020). Malaysian Undergraduates’ Perceptions of Learning Statistics: Study on Attitudes Toward Statistics Using Fuzzy Conjoint Analysis. ASM Science Journal,13. https://doi.org/10.32802/asmcj.2020.sm26(2.15).
Maria de, L.M, Vera. M, & Francisco. P. (2012). Child Development Research. Attitudes towards Mathematics: Effects of Individual, Motivational, and Social Support Factor, from https://doi.org/10.1155/2012/876028.
Mutodi. P & Ngirande. H. (2014). The Influence of Students’ Perceptions on Mathematics Performance. A Case of a Selected High School in South Africa. Mediterranean Journal of Social Sciences MCSER Publishing, Rome-Italy, 5(3).
R. Osman, N. Ramli, Z. Badarudin, H. Ayub and S.N.FAsri. (2019).Fuzzy Conjoint Method to Analyse Students’ Perception on the Learning Calculus. Journal of Physics: Conference Series. ICoAIMS 2019.
Rasmani, K.A., and Shahari, N.A., Job Satisfaction Evaluation Using Fuzzy Approach. Proceedings of Third International Conference on Natural Computation, 2007,Hainan, China.
S. Azimah, S. Fairuz, H. Nur Fatihah, Z.A Syazwani, D. Anisah, M. Mazura (2019). Evaluation Of Students’ Perceptions of Game-Based Mathematics Classroom Using Fuzzy Conjoint Analysis, GADING Journal for 2019cience and Technology, 2(2).
Serin, M.K. & Incikabi. S. (2017). Undergraduate Students’ Perceptions of the Mathematics Courses Included in the Primary School Teacher Education Program. European Journal of Educational Research, 6(4), 541 – 552.
Turksen, I.B., and Willson, I.A., Fuzzy Set Preference Model for Consumer Choice. (1994). Fuzzy Sets and Systems. 1994, 68, 253-353.
Yahaya & Mohamad. (2011). Designing Software Usability Measurement Using Fuzzy Set Conjoint
Model. International Conference on Computer Communication and Management Proc. of CSIT , 5.
Zadeh, L.A. (1965) Fuzzy Set, Information and Control, 338 - 353
How to Cite
Copyright (c) 2022 Journal of Computing Research and Innovation
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.