Information Technology Dissertations and Theses
Permanent URI for this collection
Browse
Recent Additions
Item Bring your own device (BYOD) trend with cloud service for schools in Invercargill: A case study, high schools in Invercargill(2021) Bang, James; Southern Institute of Technology (Invercargill, N.Z.)RESEARCH QUESTIONS 1. How do BYOD and cloud computing services affect each other? 2. What are the factors that could help in BYOD selection? 3. Why are you using BYOD and cloud services at the same time? 4. What cloud computing services do you need to effectively introduce BYOD into your classroom? 5. What is the most used program or application of cloud computing with BYOD? 6. What are the most worrisome challenges for BYOD? 7. What are BYOD security-related measures? 8. What are the main policies of BYOD? 9. What are the significant factors that need to be concerned to execute BYOD with cloud computing? ABSTRACT The development of the smart device industry and the continuing development of the cloud computing environment are affecting various industries, including education. Advances in mobile devices have a positive effect on the diversity and introduction of BYOD, and advances in cloud computing are accelerating the adoption of BYOD. This study investigated the trends of BYOD and cloud services used in high schools in the Invercargill area and analysed the factors influencing the adoption of BYOD. In addition, the challenges and problems faced by students using BYOD and cloud services were investigated. An online survey was conducted on high school students in the Invercargill area. The collected data were analysed using statistical techniques, and PLS-SEM was used to establish and verify the hypothesis of the UTAUT model. The factors that had the greatest influence on the adoption of BYOD were portability and compatibility. In addition, there were problems that wanted Internet quality and battery performance to improve BYOD users. As a result of the analysis of the proposed hypothesis, it was confirmed that the performance expectation variable and the facilitation condition variable are factors that influence the selection or introduction of BYOD. In the response to BYOD's trend, they answered that portability and compatibility are the factors that have the greatest influence. In addition, when surveyed about the factors that need to be improved in the use of BYOD, respondents chose Internet quality and the battery performance of the device. In device selection, acquaintance recommendations are also considered, but economic feasibility did not have a significant impact. BYOD has been concerned about compatibility because Apple's products are the most used and Cloud service providers use Google Cloud the most, but it has been found to have little impact on users.Item Student acceptance of online learning during the COVID-19 pandemic in Invercargill(2020) Agarwal, Preeti; Southern Institute of Technology (Invercargill, N.Z.)RESEARCH QUESTIONS The objectives of the study will be achieved through the research questions mentioned below: The research has three research questions. RQ1: What is the student attitude, satisfaction, and intention towards accepting online learning technology in the Southland region of Invercargill? RQ2: What were the effects of the COVID-19 pandemic on the student acceptance of online learning technology in the Southland region of Invercargill? RQ3: Is there a need for customised online learning to make the learning experience better? ABSTRACT The current study aims to investigate the student acceptance of online learning, especially during the Covid-19 pandemic. The acceptance is examined based on student's intentions to continue using the online learning systems. The intention is studied based on student's attitude towards online learning and their satisfaction from online learning. The research uses the technology acceptance model to conduct the study. A theoretical model was proposed to study the effect of the perceived usability, perceived ease of use and perceived enjoyment to analyse the attitude and satisfaction of the students towards online learning. The online survey was conducted on 68 tertiary education students, most of whom were forced to shift to online learning due to the Covid-19 induced lockdowns put by the government of New Zealand. The results were generated using PLS-SEM modelling along with descriptive analysis. The study results showed that perceived usefulness, perceived ease of use and perceived enjoyment are significant determinants of attitude towards online learning as well as satisfaction from online learning. Also, attitude towards online learning is an indicator of behavioural intention to continue using online systems. However, the research did not support that satisfaction is an indicator of behavioural intention to continue using online systems. Furthermore, the study also investigated the challenges faced by students in adopting online learning and the issues faced during online learning. It also compared the benefits and advantages of online learning as reflected through students’ responses. Finally, the research also investigates the need for personality-based online learning systems for enhanced user satisfaction.Item The backyard Internet of Things meets water conservation(2021) Cartman, David; Southern Institute of Technology (Invercargill, N.Z.)“Ko wai ahau I am water, I fall as rain on to the whenua – the land – to begin my journey from sky to sea. I bring life to everything I touch along the way. Plants, people, birds, and animals. Everything” Water care (n.d.). Water is a precious resource, yet irrigation in New Zealand often uses a “just-in-case” approach, irrigating whenever water is available, even when plant demand is low (Srinivasan, 2017). Water is a precious resource, yet households in Aotearoa use more water every year, even when population growth is considered. Between 2016 and 2020, New Zealand used 11% more water (Water New Zealand, 2020). This research project investigated how the IoT can empower home users to contribute to the much more significant environmental problem of water conservation and protection of New Zealand’s waterways and rivers. The research considers both the barriers to user adoption and the technology. A prototype solution was developed using information from the Internet, sensors, and a Raspberry Pi to ensure the right amount of water is applied to plants at the right time to ensure growth. Over a three-week experiment, the prototype Smart Watering System used 62% less water than a scheduled watering system and 73% less water than a gardener manually watering.This research answers the question, what factors contribute to the IoT's effective use to support Smart Watering Systems in New Zealand by considering the behavioural intention drivers of individuals.