Employing Fuzzy Delphi technique to validate Multiple Intelligence based Instructional Teaching Module for preschool children

  • Fadzilah Bee Abdul Rahman Universiti Tun Abdul Razak, Kuala Lumpur, Malaysia
  • Zaida Mustafa Universiti Tun Abdul Razak, Kuala Lumpur, Malaysia
  • Azrul Fazwan Kharuddin Universiti Tun Abdul Razak, Kuala Lumpur, Malaysia
Keywords: fuzzy delphi method, validation, instructional module, preschool children, multiple intelligences

Abstract

Delphi method which is a technique and structured approach used to review and collect opinions of a group of experts, has its own weaknesses. The Fuzzy Delphi Method (FDM), derived from modifications of Delphi Method introduced by Kaufman and Gupta in 1988, is considered by many researchers as more superior in providing evidence of human linguistic system (which is the signature of Delphi Technique). In this paper, FDM was used to assess the key components and contents of an instructional module based on multiple intelligences (MI-Based Instructional Module). This development phase is part of a project to develop a MI-Based Instructional Module for 4 years old preschool children in Malaysia. This phase involves the views of 10 experts who are experienced in teaching preschool children and have deep knowledge in early childhood education. It is a rigorous statistical analysis to validate the validity of abstract concept of the MI-Based Instructional Module. Experts are required to validate the key components and contents of the MI-Based Instructional Module which include themes, sub-themes based on Bloom’s taxonomy, learning objectives, learning activities based on higher order thinking skills, multiple intelligence component and assessment for learning using seven-point linguistic before converting into triangular fuzzy numbers (TFNs). The validity of these key components and contents to make up the instructional module for 4 years old preschool children is very crucial to provide good learning experiences for learners that could enhance their innate potential; thus, FDM was used to provide evidence of validity of the instructional module. This article presents the results of the experts’ views and the appropriateness of FDM as a tool to provide information about the validity of a MIBased Instructional Module.

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References

Abdullahi, N. J. K. (2020). Managing teaching approach in early childhood care education towards skill development in Nigeria. Southeast Asia Early Childhood Journal, 9(1), 59-74. https://ejournal.upsi.edu.my/index.php/SAECJ/article/view/3527

Armstrong, T. (2017). Multiple intelligence in the classroom (4th edition). ASCD

Bodjanova, S. (2006). Median alpha-levels of a fuzzy number. Fuzzy Sets and Systems, 157(7),879 – 891

Bojadziev, G., & Bojadziev, M. (2007). Fuzzy logic for business, finance, and management (2nd eds.). World Scientific.

Chang, P. T., Huang, L. C., & Lin, H. J. (2000). The fuzzy Delphi method via fuzzy statistics and membership function fitting and an application to the human resources. Fuzzy Sets and Systems, 112(3), 511-520.

Chang, P. L., Hsu, C. W., & Chang, P. C. (2011). Fuzzy Delphi method for evaluating hydrogen production technologies. International Journal of Hydrogen Energy, 14172–9.

Cheng, C., & Lin, Y. (2002). Evaluating the best main battle tank using fuzzy decision theory with linguistic criteria evaluation. European Journal of Operational Research, 142, 174-186.

Ciptono, A., Setiyono, S., Nurhidayati, F., & Vikaliana, R. (2019, October). Fuzzy Delphi method in education: A mapping. Journal of Physics: Conference Series, 1360(1), 012029.

DeWitt, D., & Saedah, S. (2008). Designing a collaborative mLearning environment for form two science. In Proceeding, Working Paper, and Power Point delivered at International Conference on Educational

Innovation (ICEI'08). The University of Malaya, Malaysian National Commission for UNESCO, and UNESCO Regional Office Jakarta. Legend Hotel, Kuala Lumpur ( http://www.unescoapceiu.org/bbs/board.php. )

Fadzilah Bee Abdul Rahman. (2018). Initial development of a multiple intelligence based teaching module to enhance preschool children of 4 years old intelligences. Sci.Int., 30(1), 111–114.

Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis 6th Edition.

Hashim, M. E. A., Idris, M. Z. B., & Said, C. S. B. (2020). Applying Fuzzy Delphi Method (FDM) to obtaining the Expert Consensus in Aesthetic Experience (AX) and User Experience (UX) Elements in Augmented Reality Comic (AR Comic). Psychology and Education, 57(8), 956-962.

Ho, Y. F., & Wang, H. L. (2008, July). Applying fuzzy Delphi method to select the variables of a sustainable urban system dynamics model. In Proceedings of the 26th International Conference of System. http://www.systemdynamics.org/conferences/2008/proceed/

Hsu, C. C., & Sandford, B. A. (2007). The Delphi technique: Making sense of consensus. Practical Assessment, Research & Evaluation, 12(10), 1-8.

Hsu, Y. L., Lee, C. H., & Kreng, V. B. (2010). The application of Fuzzy Delphi Method and Fuzzy AHP in lubricant regenerative technology selection. Expert System with Application, 37, 419-425.

Jafari, A., Jafarian, M., Zareei, A., & Zaerpour, F. (2008). Using fuzzy delphi method in maintenance strategy selection problem. Journal of Uncertain System, 2(4), 289-298.

Jamil, M. R. M., Hussin, Z., Noh, N. R. M., Sapar, A. A., & Alias, N. (2013). Application of Fuzzy Delphi Method in educational research. Saedah Siraj, Norlidah Alias, DeWitt, D. & Zaharah Hussin (Eds.), Design and Developmental Research, 85-92.

Kaufman, A., & Gupta, M. M. (1988). Introduction to Fuzzy Arithmetic: Theory and application, van no strand Reinhold.

Kazemi, S., Homayouni, S. M., & Jahangiri, J. (2015). A fuzzy delphi-analytical hierarchy process approach for ranking of effective material selection criteria. Advances in Materials Science and Engineering. https://doi.org/10.1155/2015/845346

Kharuddin, A. F., Ahmad Kamaruddin, S., Kamari, M. N., Mustafa, Z., & Azid, N. (2018). Determining important factors of arithmetic skills among newborn babies’ at Malaysian taska using artificial neural network. Southeast Asia Early Childhood Journal, 7, 33-41. https://doi.org/10.37134/saecj.vol7.4.2018

Kharuddin, A. F., Mustafa, Z., Azid, N., Kharuddin, D., Ku Ibrahim, K. F., Hong, L. Y., Syed Mohmad, S. O., & Zahri, Z. A. (2019). Comparison of registration status of Institutional Taska services in East Coast Malaysia. Southeast Asia Early Childhood Journal, 8(2), 57-62. https://doi.org/10.37134/saecj.vol8.no2.5.2019

Mamat, C. L. C., & Yunus, H. (2018). Early exploration of Forest School framework for Malaysian Indigenous People: The Application of Fuzzy Delphi Technique. Int. J. of Multidisciplinary and Current Research, 6.

Mohd Yusoff, N., & Yaakob, M. N. (2016). Analisis fuzzy delphi terhadap halangan dalam pelaksanaan mobile learning di Institut Pendidikan Guru. Jurnal Penyelidikan Dedikasi, 11, 32-50.

Mohd, R., Siraj, S., & Hussin, Z. (2018). Fuzzy Delphi Method application in developing Model of Malay Poem based on the Meaning of the Quran about Flora, Fauna and Sky Form 2. Jurnal Pendidikan

Bahasa Melayu, 8(2), 57–67.

Murray, T. J., Pipino, L. L., & Van Gigch, J. P. (1985). A pilot study of fuzzy set modification of Delphi. Human Systems Management, 5(1), 76-80.

Rahman, M. N. A., Nor, M. M., Nadzim, N. A., Radzi, N. M. M., & Moktar, N. (2017). Application of Fuzzy Delphi approach in designing homeschooling education for early childhood islamic education. International Journal of Academic Research in Business and Social Sciences, 6(12). https://doi.org/10.6007/ijarbss/v6-i12/2566

Rau, C. S., Yang, J. C. S., Chen, Y. C., Wu, C. J., Lu, T. H., Tzeng, S. L., ... & Hsieh, C. H. (2014). Lipopolysaccharide-induced microRNA-146a targets CARD10 and regulates angiogenesis in human umbilical vein endothelial cells. Toxicological Sciences, 140(2), 315-326.

Şener, S., & Çokçalışkan, A. (2018). An investigation between multiple intelligences and learning styles. Journal of Education and Training Studies, 6(2), 125.

Shariza Said, Loh Sau Cheong, Mohd Ridhuan Mohd Jamil, Yusni Mohamad Yusop, Mohd Ibrahim K. Azeez, & Ng Poi Ni (2014). Analisis masalah dan keperluan guru pendidikan khas integrasi (masalah pembelajaran) peringkat sekolah rendah tentang pendidikan seksualiti. Jurnal Pendidikan Bitara UPSI, 7, 77-85

Syed Chear, S. L., & Md Yunus, M. (2019). Strategi penerapan kemahiran abad ke-21 dalam latihan guru prasekolah. Southeast Asia Early Childhood Journal, 8(1), 1-10. https://doi.org/10.37134/saecj.vol8.no1.1.2019

Tahriri, F., Mousavi, M., Haghighi, S. H., & Md Dawal, S. Z. (2014). The application of fuzzy Delphi and fuzzy inference systemin supplier ranking and selection. Springer. J Ind Eng Int, 10(66), 1-16.

Tang, C. W., & Wu, C. T. (2010). Obtaining a picture of undergraduate education quality: A voice from inside the university. Springer Higher Education, 60, 269-286

Tarmudi, Z., Muhiddin, F. A., Rossdy, M., & Tamsin, N. W. D. (2016). Fuzzy Delphi Method for evaluating effective teaching based on students’ perspective. E-Academia Journal UiTMT, 5(1), 1–10. https://doi.org/10.1017/CBO9781107415324.004

Torff, B. (1997). Multiple intelligence and assessment. A collection of articles. IRI/Skylight Training and Publishing.

Wu, K. Y. (2011). Applying the fuzzy Delphi method to analyze the evaluation indexes for service quality after railway re-opening - Using the Old Mountain Line Railway as an example. Recent Researches in System Science. Proceedings of the 15th WSEAS International Conference on Systems, Part of the 15th WSEAS CSCC Multiconference, 474–479

Yusof, N. A. A. M., Siraj, S., Nor, M. M., & Ariffin, A. (2018). Fuzzy Delphi Method (fdm): Determining phase for multicultural-based model of peace education curriculum for preschool children. Journal of Research, Policy & Practice of Teachers & Teacher Education, 8(1), 5–17

Yusoff, A. F. M., Hashim, A., Muhamad, N., & Hamat, W. N. W. (2021). Application of Fuzzy Delphi technique towards designing and developing the elements for the e-PBM PI-Poli Module. Asian Journal of University Education, 17(1), 292-304.

Zadeh, L. A. (1965). Fuzzy sets and systems, system theory (Fox J., ed.), Microwave research institute symposia series XV. Polytechnic Press, 29-37

Zaini, Z. H., & Mansor, M. (2019). Persepsi guru prasekolah kebangsaan terhadap program pembangunan profesional guru. Southeast Asia Early Childhood Journal, 8(1), 30-36. https://doi.org/10.37134/saecj.vol8.no1.4.2019

Published
2021-04-23
How to Cite
Abdul Rahman, F. B., Mustafa, Z., & Kharuddin, A. F. (2021). Employing Fuzzy Delphi technique to validate Multiple Intelligence based Instructional Teaching Module for preschool children. Southeast Asia Early Childhood Journal, 10(1), 62-71. https://doi.org/10.37134/saecj.vol10.1.6.2021