Augmented reality (AR) is a three-dimensional (3D) technology that merges the digital and physical worlds in real time. It enhances the user’s sensory perception of the real world with a contextual layer on information . AR applications rests on three pillars, which include the tools, hardware and software and the devises. The tools are used to track information about the real world, the hardware and the software are used to process the information and the devices are used to show the user the digital information integrated in real environment [2, 3]. Very recently, AR has become an important focus of research education. Studies have shown that it has potential pedagogical applications. There is an increasing gap between the rate at which we acquire and store data and to the rate at which we are able to analyse the data to obtain information in order to make useful decision. Data engineering, which encompasses visual analytics, computer imaging and information visualisation seeks to bridge this gap by using more intelligent means in data analysis. This involves visually representing information, allowing the user to directly interact with data, gain insight into the data and draw conclusions from the data and ultimately make informed and better decisions.
This project shall use visual analytics tools and techniques integrated in AR applications to synthesize information and derive insight from massive, dynamic and diverse data by providing timely, defensible and understandable assessments for enhanced learning. The proposed project will seek to investigate the characteristics of AR in education with focus on science and engineering. Most AR applications offer simulation or exploration activities with features that are based on digital knowledge discovery mechanisms to utilize information via interaction with digital elements. To date only very few have provided students with help in carrying out learning activities. This project shall assess the effects of AR on students’ conceptual understanding and attainment of affective learning outcomes.
Specifically, the project will investigate and establish
(i) the characteristics and design features of AR-based learning applications for science and engineering education,
(ii) the instructional processes followed by science and engineering AR studies and
(iii) the measured outcomes addressed in AR for science and engineering studies.
The determining and characterising AR applications shall involve investigations and development with AR building tools, various application types, different AR features including their uses involving a variety of learning and instructional strategies. Research points out that AR has potential educational affordances which are especially useful in the science and engineering fields, such as spatial ability, conceptual understanding, practical skills and scientific inquiry learning [5, 6, 7]. The present project shall focus on science and engineering contexts.
- To hold, or expect to achieve by 15 August, an Upper Second Class Honours (2:1) Degree or equivalent from a UK institution (or overseas award deemed to be equivalent via UK NARIC) in a related or cognate field.
- Sound understanding of subject area as evidenced by a comprehensive research proposal
If the University receives a large number of applicants for the project, the following desirable criteria may be applied to shortlist applicants for interview.
- Publications record appropriate to career stage
- A comprehensive and articulate personal statement
- Applicants will be shortlisted if they have an average of 75% or greater in a first (honours) degree (or a GPA of 8.75/10). For applicants with a first degree average in the range of 70% to 74% (GPA 3.3): If they are undertaking an Masters, then the average of their first degree marks and their Masters marks will be used for shortlisting.
The University offers the following awards to support PhD study and applications are invited from UK, EU and overseas for the following levels of support:
Vice Chancellors Research Studentship (VCRS)
Full award (full-time PhD fees + DfE level of maintenance grant + RTSG for 3 years).
This scholarship will cover full-time PhD tuition fees and provide the recipient with £15,000 maintenance grant per annum for three years (subject to satisfactory academic performance). This scholarship also comes with £900 per annum for three years as a research training support grant (RTSG) allocation to help support the PhD researcher.
Vice-Chancellor’s Research Bursary (VCRB)
Part award (full-time PhD fees + 50% DfE level of maintenance grant + RTSG for 3 years).
This scholarship will cover full-time PhD tuition fees and provide the recipient with £7,500 maintenance grant per annum for three years (subject to satisfactory academic performance). This scholarship also comes with £900 per annum for three years as a research training support grant (RTSG) allocation to help support the PhD researcher.
Vice-Chancellor’s Research Fees Bursary (VCRFB)
Fees only award (PhD fees + RTSG for 3 years).
This scholarship will cover full-time PhD tuition fees for three years (subject to satisfactory academic performance). This scholarship also comes with £900 per annum for three years as a research training support grant (RTSG) allocation to help support the PhD researcher.
Department for the Economy (DFE)
The scholarship will cover tuition fees at the Home rate and a maintenance allowance of £15,285 per annum for three years. EU applicants will only be eligible for the fee’s component of the studentship (no maintenance award is provided). For Non-EU nationals the candidate must be "settled" in the UK. This scholarship also comes with £900 per annum for three years as a research training support grant (RTSG) allocation to help support the PhD researcher.
Due consideration should be given to financing your studies; for further information on cost of living etc. please refer to: www.ulster.ac.uk/doctoralcollege/postgraduate-research/fees-and-funding/financing-your-studies
- Computing, Engineering and the Built Environment
- School of Computing
- Department of Management, Leadership and Marketing
The Doctoral College at Ulster University
As Senior Engineering Manager of Analytics at Seagate Technology I utilise the learning from my PhD ever day
Adrian Johnston - PhD in InformaticsWatch Video
I received the bachelor’s of engineering degree in computer science and technology from Shangrao Normal University, Jiangxi, China, in 2013; and the master’s degree in computer application and technology from the School of Mathematics and Computer Science, Fujian Normal University, China. When I was pursuing a PhD degree at Ulster University, I continued my research on face recognition and image representation.This long journey has only been possible due to the constant support and encouragement of my first supervisor. I also like to thank my second supervisor for his patience, support and guidance during my research studies. My favourite memory was the days of exercising, gathering and playing with my friends here. If I could speak to myself at the start of my PhD, the best piece of advice I would give myself would be "submit more papers to Journals instead of conferences".
Xin Wei - PhD in Computer Science and Informatics
In the whole PhD ordeal, my supervisory team played a tremendous role:- they are three in a million. They are perfect supervisors who perfectly know which milestones or pathways to be taken during research initiatives, and they understand the roles of virtually all stages in the journey of PhD. They showcased superior abilities in managing and motivating me evoking high standards; demonstrating a commitment to excellence. Jane and Haiying guided me as their daughter and Fiona turned out to be the best of friends.I heard from “Eleanor Roosevelt” that “The future belongs to those who believe in the beauty of their dreams.” The dream with which I grew up to become a Doctor one day, has finally come true. In the journey of PhD, I embraced that a PhD is not just the highest degree in Education but rather it is a life experience where perseverance is the key. I can never forget words from my external examiner Prof Yike Guo, from Imperial College London. His words
Jyotsna Talreja Wassan - PhD in Computer Science and Informatics