Student perception analysis on smart campus in National Defence University of Malaysia (NDUM)
With the present advancement of science and technology such as Internet of Things (IoT), Big Data, Mobile Apps, High Speed Internet and Cloud Computing in Malaysia, it is time for smart campuses to be built and National Defence University of Malaysia (NDUM) should not fall behind. The smart campus i...
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| Format: | Thesis |
| Language: | English English |
| Published: |
2021
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| Subjects: | |
| Online Access: | http://ir.upnm.edu.my/id/eprint/204/1/STUDENT%20PERCEPTION%20ANALYSIS%20%2825p%29.pdf http://ir.upnm.edu.my/id/eprint/204/2/STUDENT%20PERCEPTION%20ANALYSIS%20%28Full%29.pdf |
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| Summary: | With the present advancement of science and technology such as Internet of Things (IoT), Big Data, Mobile Apps, High Speed Internet and Cloud Computing in Malaysia, it is time for smart campuses to be built and National Defence University of Malaysia (NDUM) should not fall behind. The smart campus is the improved form of a digital university, that provides better academic atmosphere for the campus residents. A smart campus improves education, research, design, and delivering the relevant higher learning modules in order to pursue the most recent developments in ICT technology that can drive future educational growth and innovation. In summary, the smart university is to construct a safe and secure, stable, ecologically friendly, and energy-efficient campus. However, there is no standard smart campus concept as of yet. Nevertheless, status quo shows that there are no standard guidelines to follows in implementing smart campuses. Moreover, the smart campus concepts depend on the specific campus environment. The main contribution of this thesis is to evaluate the student's perceptions on the smart campus from various application for each smart element. A total of 912 students from NDUM have participated as valid observations for data analysis. The data collected from the case study is analyzed using the Relative Importance Index (RII) approach. By assigning an RII to each criterion, the degree of importance of each criterion is determined, and they can be classified accordingly. The quantitative data is analyzed using the IBM SPSS software version 23 for descriptive statistics and analysis. Data measurement in this research is made using mean, median, and standard deviation including RII for measuring the important level of each smart campus application. The proposed smart campus framework is made up of four smart campus elements which are smart energy, smart card, smart learning, and smart classroom. These four elements and eleven applications are selected based on the respondent’s opinions on the most important applications for each element in smart campus implementation. The main contribution from this research is the evaluation of student’s perception of the smart campus applications in NDUM which could be used as a benchmark for High Education Institution (HEI) to develop their smart campus concept. Future work could focus on the feedback from the staff and lecturers' points of view to propose a solid conceptual smart campus framework |
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