Journal Screenshot

International Journal of Academic Research in Business and Social Sciences

Open Access Journal

ISSN: 2222-6990

The Development of I-Cylearn Framework in Online Digital Learning in Higher Education: The Fuzzy Delphi Method Study

Ramlan Mustapha, M. Fairus Jafar, M. Muzakkir Othman, M. Kamal Jusoh, Nur Shahira Ibrahim

http://dx.doi.org/10.6007/IJARBSS/v11-i4/9681

Open access

This study aims at getting expert consensus and opinions on elements of the online learning framework in higher education. This study uses 7 expert scale to gather input from 11 experts in different education fields at public universities in Malaysia using Fuzzy Delphi process. The assessment received a total of 3 key construct and 18 sub-elements of the questionnaire. The Fuzzy Delphi method Logic Software (FUDELO) has been used for data analysis. The data were analysed using a triangle fuzzy number and a ranking of the defuzzification process with each construct elements. The results of the study and the consensus of the experts show that the Agreement's value is in a good level. This shows that elements of the online digital learning framework have been well-received by experts. The elements agreed upon by the experts in consensus are arranged in order of ranking namely emotional factor, cognitive factor and social factor.

Adler, M., & Ziglio, E. (1996). Gazing into the Oracle: The Delphi method and its application to social policy and public health: Jessica Kingsley Publisher
Al-Emran, M., & Mezhuyev, V. (2019). Examining the Effect of Knowledge Management Factors on Mobile Learning Adoption Through the Use of Importance-Performance Map Analysis (IPMA). In International Conference on Advanced Intelligent Systems and Informatics (pp. 449–458). Springer.
Al-Emran, M., & Teo, T. (2019). Do knowledge acquisition and knowledge sharing really affect e-learning adoption? An empirical study. Education and Information Technologies. https://doi.org/10.1007/s10639-019-10062-w
Bodjanova, S. (2006). Median alpha-levels of a fuzzy number. Fuzzy Sets and Systems, 157(7), 879–891. doi: 10.1016/j.fss.2005.10.015
Belmonte, J. L., Segura-Robles, A., Moreno-Guerrero, A. J., & Parra-González, M. E. (2020). Machine learning and big data in the impact literature. A bibliometric review with scientific mapping in web of science. Symmetry. https://doi.org/10.3390/SYM12040495
Cantrill, J. A., Sibbald, B., & Buetow, S. (1996). The Delphi and nominal group techniques in health services research. International Journal of Pharmacy Practice, 4(2), 67–74.
Chang, P.-L., Hsu, C.-W., & Chang, P.-C. (2011). Fuzzy Delphi Method for evaluating hydrogen production technologies. International Journal of Hydrogen Energy, 36(21), 14172–14179. doi:10.1016/j.ijhydene.2011.05.045
Chang, I. Y., & Chang, W. Y. (2012). Effects of E-learning on learning performance - A case study on students in tourism department in Taiwan. Pakistan Journal of Statistics.
Cheok, M. L., & Wong, S. L. (2014). Teachers’ perceptions of E-learning in Malaysian secondary schools. Proceedings of the 22nd International Conference on Computers in Education, ICCE 2014.
Dalkey, N., & Helmer, O. (1963). An Experimental Application of the Delphi Method to the Use of Experts. Management Science.
Daud, W. A. A. W., Teck, W. K., Ghani, M. T. A., & Ramli, S. (2019). The Needs Analysis of Developing Mobile Learning Application for Cybergogical Teaching and Learning of Arabic Language Proficiency. International Journal of Academic Research in Business and Social Sciences. https://doi.org/10.6007/ijarbss/v9-i8/6206
Dailey-Hebert, A., & Dennis, K. S. (2015). Transformative perspectives and processes in higher education. In Transformative Perspectives and Processes in Higher Education. https://doi.org/10.1007/978-3-319-09247-8
Yusuf, Y. Q. (2018). Digital culture and digitagogy?: a life of a digital culturalist and a digitagogist. The Roles of Parents in Shaping Children’s Characters (ICECED).
Hasson, F., Keeney, S., & McKenna, H. (2000). Research guidelines for the Delphi survey technique. Journal of Advanced Nursing. https://doi.org/10.1046/j.1365-2648.2000.t01-1-01567.x
Hsieh, T. Y., Lu, S. T., & Tzeng, G. H. (2004). Fuzzy MCDM approach for planning and design tenders selection in public office buildings. International Journal of Project Management. https://doi.org/10.1016/j.ijproman.2004.01.002
Hubalovsky, S., Hubalovska, M., & Musilek, M. (2019). Assessment of the influence of adaptive E-learning on learning effectiveness of primary school pupils. Computers in Human Behavior. https://doi.org/10.1016/j.chb.2018.05.033
Linstone, H. A., & Turoff, M. (2002). The Delphi Method - Techniques and Applications. The Delphi method - Techniques and applications.
Kasim, N. N. M., & Khalid, F. (2016). Choosing the right learning management system (LMS) for the higher education institution context: A systematic review. International Journal of Emerging Technologies in Learning. https://doi.org/10.3991/ijet.v11i06.5644
Kim, S.-E., Lee, K. Y., Shin, S. Il, & Yang, S.-B. (2017). Effects of tourism information quality in social media on destination image formation: The case of Sina Weibo. Information & Management, 54(6), 687–702
Basak, K. S., Wotto, M., & Bélanger, P. (2018). E-learning, M-learning and D-learning: Conceptual definition and comparative analysis. E-Learning and Digital Media. https://doi.org/10.1177/2042753018785180
Mustapha, R., & Darusalam, G. (2017). Aplikasi kaedah Fuzzy Delphi dalam Kajian Sians Sosial. Penerbitan Universiti Malaya. Kuala Lumpur
J. Skulmoski, G., T. Hartman, F., & Krahn, J. (2007). The Delphi Method for Graduate Research. Journal of Information Technology Education: Research. https://doi.org/10.28945/199
Perera, A. H., Drew, C. A., & Johnson, C. J. (2012). Expert Knowledge and Its Application in Landscape Ecology. Springer, New York, 1–11. http://doi.org/10.1007/978-1-4614-1034-8
Philip, R. (2000). New Application for Delphi Technique, Annual “San Diego” Pfeifer & Company, Vol 2, 191
Ramos-Morcillo, A. J., Leal-Costa, C., Moral-García, J. E., & Ruzafa-Martínez, M. (2020). Experiences of nursing students during the abrupt change from face-to-face to e-learning education during the first month of confinement due to COVID-19 in Spain. International Journal of Environmental Research and Public Health. https://doi.org/10.3390/ijerph17155519
Sforza, V. C., & Ortolano, L. (1984). Delphi forecasts of land use: Transportation interactions. Journal of Transportation Engineering. https://doi.org/10.1061/ (ASCE) 0733-947X (1984)110:3(324)
Tayebinik, M., & Puteh, M. (2012). Blended Learning or E-learning? International Magazine on Advances in Computer Science and Telecommunications, 3(1), 103-110
Tang, C. W., & Wu, C. T. (2010). Obtaining a picture of undergraduate education quality: A voice from inside the university. Higher Education. https://doi.org/10.1007/s10734-009-9299-5
Uppal, M. A., Ali, S., & Gulliver, S. R. (2018). Factors determining e-learning service quality. British Journal of Educational Technology. https://doi.org/10.1111/bjet.12552

In-Text Citation: (Mustapha et al., 2021)
To Cite this Article: Mustapha, R., Jafar, M. F., Othman, M. M., Jusoh, M. K., & Ibrahim, N. S. (2021). The Development of I-Cylearn Framework in Online Digital Learning in Higher Education: The Fuzzy Delphi Method Study. International Journal of Academic Research in Business and Social Sciences, 11(4), 412-428.