Design for BIO4GS Module’s Element Based on Experts’ Consensus: Fuzzy Delphi Method Application

Authors

  • Wan Nasriha Wan Mohamed Salleh Department of Biology, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris, 35900 Tanjong Malim, Perak, Malaysia Author
  • Che Nidzam Che Ahmad Department of Biology, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris, 35900 Tanjong Malim, Perak, Malaysia Author

Keywords:

Fuzzy Delphi Method, element of module, gamification, educational games

Abstract

The BIO4GS Module is a teaching and learning module that applies gamification to enhance students’ engagement and motivation towards learning Biology. This study aimed to analyse experts’ opinions and consensus on the element of BIO4GS Module. This study employed the Fuzzy Delphi Method (FDM) by using a seven-point Likert scale to collect responses of 23 experts in various backgrounds and fields of education. The experts involved in this study were selected using the purposive sampling method. A Design Module Questionnaire was given to the experts for evaluation. Data were analysed using the triangular Fuzzy numbering (Triangular Fuzzy Number) and the Fuzzy evaluation process (defuzzification). The results showed that the experts’ agreement exceeded 75%, the overall value of the threshold (d) ≤ 0.2, and an Amax value exceeds the value of α-cut = 0.5. This indicated that all items in the questionnaire met the requirements required in the Triangular Fuzzy Number and the Fuzzy evaluation process (defuzzification). The findings showed that experts reached a consensus with the elements of gamification and educational game components. Therefore, all these elements can be used not only to design and develop the BIO4GS Modules but also as a reference in the development of other modules.

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References

Campbell, N.A., J.B. Reece, and L.G. Mitchell, From gene to protein, 22(1), 31-42. Biology, 2005.

Oztas, H. and F. Oztas, A Formal Reasoning Ability and Misconceptions Concerning Genetic in Middle School Students. Journal of Education and Practice, 2016. 7(30): p. 128-130.

Rashidah Begum, G., Development of biotechnology modules for secondary school biology subjects/Rashidah Begum Gelamdin. 2016.

Kreiser, B. and R. Hairston, Dance of the chromosomes: a kinetic learning approach to mitosis and meiosis. Bioscene: Journal of College Biology Teaching, 2007. 33(1): p. 6-10.

Shamsuddin, S.N.W., et al., GLeMS LINUS: Gamified Learning Management System for LINUS Students. Proceedings of The International University Carnival on e-Learning (IUCEL) 2018. 376-377. 2018.

Slotta, J.D. and M.T.H. Chi, Helping students understand challenging topics in science through ontology training. Cognition and instruction, 2006. 24(2): p. 261-289.DOI: https://doi.org/10.1207/s1532690xci2402_3.

Hasibuan, H. and E. Djulia, Analisis Kesulitan Belajar Siswapada Materi Virusdi Kelas X AliyahAl- Fajri Tanjungbalai tahun pembelajaran 2016/2017. Jurnal Pelita Pendidikan, 4(4), 16–24. 2017.

Kementerian Pendidikan Malaysia, Laporan Analisis Keputusan Sijil Pelajaran Malaysia (SPM) Tahun 2019. Laporan Analisis Keputusan Sijil Pelajaran Malaysia (SPM) Tahun 2019, 2020.

Appleton, J.J., S.L. Christenson, and M.J. Furlong, Student engagement with school: Critical conceptual and methodological issues of the construct. Psychology in the Schools, 2008. 45(5): p. 369- 386.DOI: https://doi.org/10.1002/pits.20303.

Cheong, C., F. Cheong, and J. Filippou, Quick quiz: A gamified approach for enhancing learning. 2013.

Fredricks, J.A., P.C. Blumenfeld, and A.H. Paris, School engagement: Potential of the concept, state of the evidence. Review of educational research, 2004. 74(1): p. 59-109.DOI: https://doi.org/10.3102/00346543074001059.

Bybee, R.W., et al., The BSCS 5E instructional model: Origins and effectiveness. Colorado Springs, Co: BSCS, 2006. 5: p. 88-98.

Ahmad, N. and F. Khalid, The Effect of Gamification in Education Influences the Level of Motivation and Student Engagement. Mohamed Rosly, R., Razali, NA, & Jamilluddin, NA (Edited), 2017.

Betihavas, V., et al., The evidence for ‘flipping out’: A systematic review of the flipped classroom in nursing education. Nurse education today, 2016. 38: p. 15-21.DOI: https://doi.org/10.1016/j.nedt.2015.12.010.

Kiryakova, G., N. Angelova, and L. Yordanova. Gamification in education, 1-6.: Proceedings of 9th International Balkan Education and Science Conference.

Lee, J.J. and J. Hammer, Gamification in education: What, how, why bother? Academic exchange quarterly, 2011. 15(2): p. 146.

Lo, C.K., K.F. Hew, and G. Chen, Toward a set of design principles for mathematics flipped classrooms: A synthesis of research in mathematics education. Educational Research Review, 2017. 22: p. 50-73.

Huang, W.H.-Y. and D. Soman, Gamification of education. Report Series: Behavioural Economics in Action, 2013. 29: p. 11-12.

Zuraini Jusoh, et al., Motivasi belajar dan keterlibatan dalam pembelajaran kemahiran mengarang Bahasa Melayu. e-Bangi, 11(1), 213-226. 2016.

Mohd, R., S. Siraj, and Z. Hussin, Application of Fuzzy Delphi method in the development of Malay poetry teaching module based on the meaning of the Quran about the beauty of flora, fauna and sky form 2 (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, 2018. 8(3): p. 57-67.

Morrison, G.R., et al., Designing, Effective and Instruction. USA: John Willey & Sons. 2011, Inc.

Noh, N.M., et al., Design of Guidelines on the Learning Psychology in the Use of Facebook as a Medium for Teaching & Learning in Secondary School. Turkish Online Journal of Educational Technology-TOJET, 2015. 14(1): p. 39-44.

Mohamad, S.N.M., S. Salam, and N. Bakar, An analysis of gamification elements in online learning to enhance learning engagement, 1-10. 2017.

Palmer, D., A motivational view of constructivist‐informed teaching. International journal of science education, 2005. 27(15): p. 1853-1881.DOI: https://doi.org/10.1080/09500690500339654.

Ainun, I.R., M. Zamri, and W.M. Wan Muna, 21st Century Learning and Its Influence on the Attitude, Motivation and Achievements of Malay Language Secondary School Students (21th Century Learning and the Influence of Malay Language Secondary School Students). Jurnal Pendidikan Bahasa Melayu, 2017. 7(2): p. 77-88.

Ibharim, L.F.M. and A.H. Ariffin., Aplikasi Kahoot Sebagai Alat Pengujian Terhadap Pencapaian Murid Dalam Mata Pelajaran Sejarah. International Journal of Education, Science, Technology, and Engineering, 2(2), 90-96. 2019.

Jasni, S.R., S. Zailani, and H. Zainal, Gamification Approach in Arabic Learning: Gamification Approach in Learning Arabic Language. Journal of Fatwa Management and Research, 2018: p. 358- 367.DOI: https://doi.org/10.33102/jfatwa.vol13no1.165.

Kiefer, S.M., K.M. Alley, and C.R. Ellerbrock, Teacher and peer support for young adolescents’ motivation, engagement, and school belonging. Rmle Online, 2015. 38(8): p. 1-18.DOI: https://doi.org/10.1080/19404476.2015.11641184.

Lay, A.N., Development and effectiveness of My KimDG Module on achievement in the topic of Salt, 21st century skills and motivation in chemistry. Unpublished doctoral dissertation. Universiti Kebangsaan Malaysia, 2017.

Nisa, K., et al., Geoplay Game -Based Geography Learning Gamification Design. Geografi, 2017. 5(1): p. 46-61.DOI: https://doi.org/10.5121/ijma.2017.9606.

Chu, H.-C. and G.-J. Hwang, A Delphi-based approach to developing expert systems with the cooperation of multiple experts. Expert systems with applications, 2008. 34(4): p. 2826-2840.DOI: https://doi.org/10.1016/j.eswa.2007.05.034.

Deci, E.L., et al., Motivation and education: The self-determination perspective. Educational psychologist, 1991. 26(3-4): p. 325-346.DOI: https://doi.org/10.1080/00461520.1991.9653137.

Guay, F., et al., Intrinsic, identified, and controlled types of motivation for school subjects in young elementary school children. British journal of educational psychology, 2010. 80(4): p. 711-735.DOI: https://doi.org/10.1348/000709910X499084.

Fazil, F. and S. Saleh, The effect of brain -based teaching approaches on science learning motivation.Jurnal Pendidikan Sains dan Matematik Malaysia (JPSMM UPSI), 2016. 6(1): p. 68-78.

Ang, B.S. and S. Saleh., The influence of gender factors and school location on Physics learning motivation among students. Malaysian Journal of Science & Mathematics Education, 4 (2). 80-90. 2014.

Ayub, A.F.M., A.S.M. Yunus, and R. Mahmud, The influence of Teachers, Peers and family support on Mathematics engagement among Secondary School students. Jurnal Pendidikan Sains dan Matematik Malaysia, 2018. 8(1): p. 1-12.DOI: https://doi.org/10.37134/jpsmm.vol8.1.1.2018.

Jusoh, Z., The Effects of Narrative and Communicative Approaches on Learning Motivation, Involvement in Learning and Achievement of Composing Skills. Phd Thesis. Universiti Putra Malaysia. Serdang. 2014.

Liu, W.-K., Application of the fuzzy delphi method and the fuzzy analytic hierarchy process for the managerial competence of multinational corporation executives. International Journal of e-Education, e-Business, e-Management and e-Learning, 2013. 3(4): p. 313.DOI: https://doi.org/10.7763/IJEEEE.2013.V3.248.

Yung, O.C., et al., Slash 100%: Gamification of mathematics with hybrid QR-based card game. Indones. J. Electr. Eng. Comput. Sci, 2020. 20: p. 1453-1459.DOI: https://doi.org/10.11591/ijeecs.v20.i3.pp1453-1459.

Chan, Y.L. and C.H. Norlizah, Students’ motivation towards science learning and students’ science achievement. International Journal of Academic Research in Progressive Education and Development, 2017. 6(4): p. 174-189.DOI: https://doi.org/10.6007/IJARPED/v6-i4/3716.

Chin, L.C., Development and Effectiveness of Game -Based Approach Module (MBPP). In Early Preschool Mathematics Education. 2015.

Zadeh, L.A., Fuzzy sets. Information and control, 8(3), 338-353. 1965.DOI: https://doi.org/10.1016/S0019-9958(65)90241-X.

Hamari, J., Why do people buy virtual goods? Attitude toward virtual good purchases versus game enjoyment. International Journal of Information Management, 2015. 35(3): p. 299-308.DOI: https://doi.org/10.1016/j.ijinfomgt.2015.01.007.

Hamari, J., J. Koivisto, and H. Sarsa. Does gamification work?--a literature review of empirical studies on gamification. Ieee.

Thiebes, S., S. Lins, and D. Basten. Gamifying Information Systems-a synthesis of Gamification mechanics and Dynamics.

Dicheva, D., et al., Gamification in education: A systematic mapping study. Journal of educational technology & society, 2015. 18(3): p. 75-88.

Barata, G., et al. Engaging engineering students with gamification. IEEE.DOI: https://doi.org/10.1007/978-3-642-39454-6_68.

Baharum, S., Effects of Learning Cycle Coherence and concept mapping on students' conceptions of cell division. Unpublished doctoral dissertation). Centre for Instructional Tecnology & Multimedia: Universiti Sains Malaysia, 2008.

Deterding, S., et al. Gamification: Toward a definition. Vancouver, Canadá.

Buckley, P. and E. Doyle, Gamification and student motivation. Interactive learning environments, 2016. 24(6): p. 1162-1175.DOI: https://doi.org/10.1080/10494820.2014.964263.

Buckley, P. and E. Doyle, Individualising gamification: An investigation of the impact of learning styles and personality traits on the efficacy of gamification using a prediction market. Computers & Education, 2017. 106: p. 43-55.DOI: https://doi.org/10.1016/j.compedu.2016.11.009.

Sun, J.C.-Y. and P.-H. Hsieh, Application of a gamified interactive response system to enhance the intrinsic and extrinsic motivation, student engagement, and attention of English learners. Journal of Educational Technology & Society, 2018. 21(3): p. 104-116.

Tek, O.E., et al., The effectiveness of the use of cartoon modules in improving students' Biology achievement. Jurnal Pendidikan Sains dan Matematik Malaysia, 2013. 3(1): p. 95-111.

Daud, K.A.M., N.Z. Khidzir, and M.A. Samsudin., Development and validation of student learning motivation instruments. International Journal of Creative Future and Heritage (TENIAT), 4(2). 2016.

Barata, G., et al. So fun it hurts–gamifying an engineering course. Springer.DOI: https://doi.org/10.1109/VS-GAMES.2013.6624228.

Tangkui, R.B. and T.C. Keong, The Effect of Minecraft Digital Game -Based Learning on Year Five Student Achievement in Fractions. Malaysian Journal of Social Sciences and Humanities (MJSSH), 2020. 5(9): p. 98-113.DOI: https://doi.org/10.47405/mjssh.v5i9.476.

Eshak, Z. and A. Zain, Kaedah Fuzzy Delphi: Reka bentuk pembangunan modul seksualiti pekasa berasaskan latihan mempertahankan diri untuk prasekolah. Jurnal Pendidikan Awal Kanak-kanak Kebangsaan, 2020. 9(2): p. 12-22.

Hamari, J., Transforming homo economicus into homo ludens: A field experiment on gamification in a utilitarian peer-to-peer trading service. Electronic commerce research and applications, 2013. 12(4): p. 236-245.DOI: https://doi.org/10.1016/j.elerap.2013.01.004.

Nah, F.F.-H., et al., Flow in gaming: literature synthesis and framework development. International Journal of Information Systems and Management, 2014. 1(1-2): p. 83-124.DOI: https://doi.org/10.1504/IJISAM.2014.062288.

Çakıroğlu, Ü., et al., Gamifying an ICT course: Influences on engagement and academic performance.Computers in human behavior, 2017. 69: p. 98-107.DOI: https://doi.org/10.1016/j.chb.2016.12.018.

Skulmoski, G.J., F.T. Hartman, and J. Krahn, The Delphi method for graduate research. Journal of Information Technology Education: Research, 2007. 6(1): p. 1-21.DOI: https://doi.org/10.28945/199.

Fortemps, P. and M. Roubens, Ranking and defuzzification methods based on area compensation.Fuzzy sets and systems, 1996. 82(3): p. 319-330.DOI: https://doi.org/10.1016/0165-0114(95)00273-1.

Ganisen, S., et al., The identification of design for maintainability imperatives to achieve cost effective building maintenance: A delphi study. Jurnal Teknologi, 2015. 77(30).DOI: https://doi.org/10.11113/jt.v77.6871.

Gedera, D., Students’ experiences of learning in a virtual classroom: An Activity Theory perspective.International Journal of Education and Development using ICT, 2014. 10(4).

Gordon, T.J., The real-time Delphi method. Futures research methodology version, 2009. 3: p. 19.

Abu, N.E.B. and L.K. Eu, The relationship between attitudes, interests, teachers' teaching and peer influence on the achievement of additional form 4 mathematics. JuKu: Jurnal Kurikulum & Pengajaran Asia Pasifik, 2017. 2(1): p. 1-10.

Amriani, A., et al. An empirical study of gamification impact on e-Learning environment. IEEE.DOI: https://doi.org/10.1109/ICCSNT.2013.6967110.

Ariffin, A.H. and L.F.M. Ibharim, Application of Kahoot as a Testing Tool for Student Achievement in History Subjects. International Journal of Education, Science, Technology, and Engineering, 2019. 2(2): p. 90-96.DOI: https://doi.org/10.36079/lamintang.ijeste-0202.44.

Mohamad, S.N.M., N.S.S. Sazali, and M.A.M. Salleh, Gamification approach in education to increase learning engagement. International Journal of Humanities, Arts and Social Sciences, 2018. 4(1): p. 22- 32.DOI: https://doi.org/10.20469/ijhss.4.10003-1.

Rahmani, A.A., I.H.I.T.M.T.Z. Abidiniii, and A.A.M. Fauzi, Gamification in Islamic education based on Global Zakat Game: Bijak zakat version 1.0 (GZG). Al-Qanatir: International Journal of Islamic Studies, 6(1), 1-9. 2017.

Murray, T.J., L.L. Pipino, and J.P. Van Gigch, A pilot study of fuzzy set modification of Delphi. Human Systems Management, 1985. 5(1): p. 76-80.DOI: https://doi.org/10.3233/HSM-1985-5111.

Saido, G.A.M., et al., Development of an instructional model for higher order thinking in science among secondary school students: a fuzzy Delphi approach. International Journal of Science Education, 2018. 40(8): p. 847-866.DOI: https://doi.org/10.1080/09500693.2018.1452307.

Kadir, W.N.H.W.A., et al., The application of the Fuzzy Delphi Technique on a component of development of Form Four STEM-Based Physics Interactive Laboratory (I- Lab). International Journal of Scientific & technology research, 8(12), 2908-2912. 2019.

Kamis, A., et al., Modified Delphi Technique in Analysing Contents of Green Skills Module for Design and Technology Subject. Journal of Technical Education and Training, 12(1). 2020.

Kaufmann, A. and M.M. Gupta, Fuzzy mathematical models in engineering and management science. 1988: Elsevier Science Inc.

Khaleel, F.L., et al., The Architecture of Dynamic Gamification Elements Based Learning Content. Journal of Convergen Information Technology, 11(3),164-177. 2016.

Murphy, M.K., et al., Consensus development methods, and their use in clinical guideline development. Health Technology Assessment (Winchester, England), 1998. 2(3): p. i-88.DOI: https://doi.org/10.3310/hta2030.

Chen, C.-T., Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy sets and systems, 2000. 114(1): p. 1-9.DOI: https://doi.org/10.1016/S0165-0114(96)00037-1.

Cheng, C.-H. and Y. Lin, Evaluating the best main battle tank using fuzzy decision theory with linguistic criteria evaluation. European journal of operational research, 2002. 142(1): p. 174-186.DOI: https://doi.org/10.1016/S0377-2217(01)00280-6.

Hsu, C.-C. and B.A. Sandford, The Delphi technique: making sense of consensus. Practical assessment, research, and evaluation, 2007. 12(1): p. 10.

Hsu, Y.-L., C.-H. Lee, and V.B. Kreng, The application of Fuzzy Delphi Method and Fuzzy AHP in lubricant regenerative technology selection. Expert Systems with Applications, 2010. 37(1): p. 419- 425.DOI: https://doi.org/10.1016/j.eswa.2009.05.068.

Ishikawa, A., et al., The max-min Delphi method and fuzzy Delphi method via fuzzy integration. Fuzzy sets and systems, 1993. 55(3): p. 241-253.DOI: https://doi.org/10.1016/0165-0114(93)90251-C.

Jamil, M.R.M., et al., Basic Introduction to the Delphi Fuzzy Method in Development Design Research. Bandar Baru Bangi: Intellectual Mind Agency.9 (2), 16-31. 2014.

McMillan, S.S., M. King, and M.P. Tully, How to use the nominal group and Delphi techniques. International journal of clinical pharmacy, 2016. 38(3): p. 655-662.DOI: https://doi.org/10.1007/s11096-016-0257-x.

Rowe, E.J., Enhancing judgement and decision making: a critique and empirical investigation of the Delphi technique. 1994.

Marham, M.A., A.F.M. Ayub, and R.A. Tarmizi, Involvement of low-achieving vocational college students in the teaching and learning of mathematics through the ‘Q-Methodology’ approach. Malaysian Journal of Science and Mathematics Education (JPSMM UPSI), 6 (1), 41-57. 2016.

Bui, T.D., et al., Identifying sustainable solid waste management barriers in practice using the fuzzy Delphi method. Resources, conservation and recycling, 2020. 154: p. 104625.DOI: https://doi.org/10.1016/j.resconrec.2019.104625.

Osman, K., Z.H. Iksan, and L. Halim, Attitudes towards science and scientific attitudes among science students. Jurnal Pendidikan, 2007. 32(3): p. 39-60.

Powell, C., The Delphi technique: myths and realities. Journal of advanced nursing, 2003. 41(4): p. 376-382.DOI: https://doi.org/10.1046/j.1365-2648.2003.02537.x.

Ragin, C.C., Qualitative comparative analysis using fuzzy sets (fsQCA). Configurational comparative methods: Qualitative comparative analysis (QCA) and related techniques, 2009. 51: p. 87-121.DOI: https://doi.org/10.4135/9781452226569.n5.

Berliner, D.C., Expert teachers: Their characteristics, development and accomplishments. Bulletin of Science, Technology and Society, 2004. 24(3): p. 200-212.DOI: https://doi.org/10.1177/0270467604265535.

Bodjanova, S., Median alpha-levels of a fuzzy number. Fuzzy Sets and Systems, 2006. 157(7): p. 879- 891.DOI: https://doi.org/10.1016/j.fss.2005.10.015.

Delbecq, A.L., A.H. Van de Ven, and D.H. Gustafson, Group techniques for program planning: A guide to nominal group and Delphi processes, 1-174. 1975: Scott, Foresman.

Rosman, F., et al., The Design of Video Games in the Implementation of Malay Language Learning among Foreign Students in an Institution of Higher Learning. Malaysian Online Journal of Educational Technology, 2015. 3(2): p. 20-32.

Jacobs, J.M., Essential assessment criteria for physical education teacher education programs: A Delphi study. 1996: West Virginia University.

Jamil, M.R.M., S. Siraj, and Z. Hussin, Nurulrabihah Mat Noh, & Ahmad Ariffin Sapar.(2017). Pengenalan Asas Kaedah Fuzzy Delphi Dalam Penyelidikan Rekabentuk dan Pembangunan.(Mohd Ridhuan Mohd Jamil, Ed.). Kuala Lumpur, Malaysia: Minda Intelek Agency.

Jones, H. and B.C. Twiss, Forecasting technology for planning decisions. 1978.

Murry Jr, J.W. and J.O. Hammons, Delphi: A versatile methodology for conducting qualitative research. The review of higher education, 1995. 18(4): p. 423-436.DOI: https://doi.org/10.1353/rhe.1995.0008.

Seaborn, K. and D.I. Fels, Gamification in theory and action: A survey. International Journal of human- computer studies, 2015. 74: p. 14-31.DOI: https://doi.org/10.1016/j.ijhcs.2014.09.006.

Dalkey, N. and O. Helmer, An experimental application of the Delphi method to the use of experts.Management science, 1963. 9(3): p. 458-467.DOI: https://doi.org/10.1287/mnsc.9.3.458.

Sánchez-Lezama, A.P., J. Cavazos-Arroyo, and C. Albavera-Hernández, Applying the Fuzzy Delphi Method for determining socio-ecological factors that influence adherence to mammography screening in rural areas of Mexico. Cadernos de saúde pública, 2014. 30: p. 245-258.DOI: https://doi.org/10.1590/0102-311X00025113.

Siong, W.W. and K. Osman, Game-Based Learning in STEM education and 21st century skill mastery.Politeknik & Kolej Komuniti Journal of Social Sciences and Humanities, 2018. 3(1): p. 121-135.

Hasson, F., S. Keeney, and H. McKenna, Research guidelines for the Delphi survey technique. Journal of advanced nursing, 2000. 32(4): p. 1008-1015.DOI: https://doi.org/10.1046/j.1365- 2648.2000.01567.x.

Hsieh, T.-Y., S.-T. Lu, and G.-H. Tzeng, Fuzzy MCDM approach for planning and design tenders selection in public office buildings. International journal of project management, 2004. 22(7): p. 573- 584.DOI: https://doi.org/10.1016/j.ijproman.2004.01.002.

Okoli, C. and S.D. Pawlowski, The Delphi method as a research tool: an example, design considerations and applications. Information & management, 2004. 42(1): p. 15-29.DOI: https://doi.org/10.1016/j.im.2003.11.002.

Asra, R., M. J, et al., Implementation Model of Mlearning based Discovery Learning. International Conference on Global Trends in Academic Research, 366–382. 2014.

Chang, P.-L., C.-W. Hsu, and P.-C. Chang, Fuzzy Delphi method for evaluating hydrogen production technologies. International journal of hydrogen energy, 2011. 36(21): p. 14172-14179.DOI: https://doi.org/10.1016/j.ijhydene.2011.05.045.

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2022-01-30

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Salleh, W. N. W. M., & Ahmad, C. N. C. (2022). Design for BIO4GS Module’s Element Based on Experts’ Consensus: Fuzzy Delphi Method Application. CENTRAL ASIA AND THE CAUCASUS, 23(1), 1803-1817. https://ca-c.org/CAC/index.php/cac/article/view/252

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