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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 12, 2018.
Abstract: Integration of current Virtual Learning Environment (VLE) system with the Near Field Communication (NFC) technology provides Ubiquitous Learning Environment (ULE) in education. The utilization of NFC technology in U-Learning concept will help to improve accessibility and encourage collaborative learning methods in the education sector. In this paper, we conduct a study to investigate eleven (11) adoptions factors of U-Learning with NFC and ranking them using Analytical Hierarchy Process (AHP) a multicriteria decision-making (MCDM) approach. We also utilized Technology Acceptance Model (TAM), Technology Readiness (TR), and combination of TAM and TR (TRAM) as theoretical framework. We have identified TRAM as the best tool based on literature review and utilized the theory to propose an NFC-Enabled Ubiquitous Technology model. The model was utilized to design a questionnaire for survey about user acceptance. Results from the online survey were analyzed using AHP in an absolute measurement approach method. Results from AHP show that optimism is the most influencing factor in adoption of U-Learning using NFC technology followed by innovativeness and accessibility. Finally, this paper contributes in designing an NFC research model.
Huzaifa Marina Osman, Manmeet Mahinderjit Singh, Manuel Serafin Plasencia, Azizul Rahman Mohd Shariff and Anizah Abu Bakar, “Enhanced Analytical Hierarchy Process for U-Learning with Near Field Communication (NFC) Technology” International Journal of Advanced Computer Science and Applications(IJACSA), 9(12), 2018. http://dx.doi.org/10.14569/IJACSA.2018.091241
@article{Osman2018,
title = {Enhanced Analytical Hierarchy Process for U-Learning with Near Field Communication (NFC) Technology},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.091241},
url = {http://dx.doi.org/10.14569/IJACSA.2018.091241},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {12},
author = {Huzaifa Marina Osman and Manmeet Mahinderjit Singh and Manuel Serafin Plasencia and Azizul Rahman Mohd Shariff and Anizah Abu Bakar}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.