Student experience with online education system

Online education is becoming a popular choice by several academic institutes to deliver higher education to many New Zealand students. As online education is gaining acceptance by students in New Zealand, it is crucial to understand the factors that can impact students' satisfaction with the online education system compared to traditional education methods. Due to the latest technology developments, the factors affecting online education keeps updating. It is mandatory to understand the user experience with the online education system. This research study's objective is to examine ten factors that repeatedly come in past literature. The factors are interaction, learning style, self-efficacy, motivation, online databases, social media platforms, social presence, service quality, and system quality, hence assisting the education sector to enhance their business strategies and providing a better service to their users. This research project has adopted a non-experimental quantitative research methodology. Data has collected with an online survey by using convenience sampling in New Zealand. The survey has sent to participants via social media platforms, i.e., Facebook, LinkedIn, WhatsApp, and Snapchat in New Zealand, to collect the responses to 29 survey questions. To understand the relationship between categorical variables and perform data analysis, the researcher has completed a chi-square test. Other sections of the research report described here chronologically: Initially, a systematic literature review on the factors has conducted, and a related hypothesis has formed to demonstrate the impact of factors on student satisfaction. After that, a discussion has made on the research methodology used for this research study. Later in this research study, the researcher has thoroughly discussed research results in discussion and drawbacks. In the end, references and appendices to this research report mentioned

A study of the applications and challenges of digital assistants

Digital assistants are software used to automate tasks that are otherwise done manually. Digital assistants are used in various sectors like the aviation sector, the medical industry, research and development purposes, and decision making. This research focused on studying digital assistants. This research aimed to study the trend of digital assistants in a real-world scenario. The research focused on obtaining information about the components used by digital assistants, the applications of digital assistants, and the challenges posed by digital assistants. To obtain this information, a structured literature review was conducted. Statistical information from online sources was used to quantify the information. The process of collecting statistical data from online sources focused on obtaining the latest information about digital assistants. This process also involved getting information about the usage frequency of digital assistants. An online survey was conducted to obtain a public opinion about digital assistants. This survey aimed to gather information about the user’s point of view regarding the usefulness of digital assistants on a day-to-day basis. Finally, the information obtained from the structured literature review, statistics from online sources, and public opinion from the survey were compared to test this research’s hypotheses. This research followed the UTAUT model. The UTAUT model is used to study the acceptance of technology in the market. For this research, the UTAUT model was used to study the acceptance of digital assistants. The UTAUT model was used to analyse data based on age, gender, education, and profession. The research concluded that there is a positive trend in the adoption of digital assistants in the market. The public prefers using digital assistants and believes that digital assistants have a bright future. However, data privacy is a common concern of the users of digital assistants. This report describes the process undertaken to do this research