This opportunity is now closed.
Funded PhD Opportunity
Subject: Computer Science and Informatics
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.
If the University receives a large number of applicants for the project, the following desirable criteria may be applied to shortlist applicants for interview.
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:
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.
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.
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.
The scholarship will cover tuition fees at the Home rate and a maintenance allowance of £ 15,009 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
As Senior Engineering Manager of Analytics at Seagate Technology I utilise the learning from my PhD ever day
Adrian Johnston - PhD in InformaticsWatch Video
Friday 7 February 2020
Late March 2020
The largest of Ulster's campuses
When applying for this PhD opportunity please quote reference number: