Enhanced Analytical Hierarchy Process for U-Learning with Near Field Communication (NFC) Technology
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 12
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.
Authors and Affiliations
Huzaifa Marina Osman, Manmeet Mahinderjit Singh, Manuel Serafin Plasencia, Azizul Rahman Mohd Shariff, Anizah Abu Bakar
Using Social Signal of Hesitation in Multimedia Content Retrieval
This paper presents the graphical analysis of selection traces in matrix-factorization space of multimedia items. A trace consists of links (lines) between points that present a selected item during interaction between u...
Examining the Impact of Feature Selection Methods on Text Classification
Feature selection that aims to determine and select the distinctive terms representing a best document is one of the most important steps of classification. With the feature selection, dimension of document vectors are r...
A Study of Influential Factors in the Adoption and Diffusion of B2C E-Commerce
This paper looks at the present standing of e-commerce in Saudi Arabia as well as the challenges and strengths of Business to Customers (B2C) electronic commerce. Many studies have been conducted around the world in orde...
Fingerprint Gender Classification using Univariate Decision Tree (J48)
Data mining is the process of analyzing data from a different category. This data provide information and data mining will extracts a new knowledge from it and a new useful information is created. Decision tree learning...
Discovery of Corrosion Patterns using Symbolic Time Series Representation and N-gram Model
There are many factors that can contribute to corrosion in the pipeline. Therefore, it is important for decision makers to analyze and identify the main factor of corrosion in order to take appropriate actions. The facto...