Identification, mapping, analysis of lifelong learning transitions of mobile learners
Identification and mapping of lifelong learning transitions of mobile learners: from trajectories to pathways
The objective of this project is to identify the learning transitions that take place when lifelong learners move in and out of different dimensions of mobility and learning and will attempt to discern how technology supports the mobility of learners and hence their learning transitions.
The first stage of the work will involve conducting a literature review with the objective of defining theoretical constructs to establish a framework to define transitions in lifelong learning based on dimensions of mobility in mobile learning. This work will inform the development of a survey of transitions in mobile lifelong learning. The analysis of the survey (N≥500) will support the elaboration of hypotheses pertaining to the transitions that take place and how the technology supports them. The qualitative work will be followed by a qualitative phase of data collection and analysis. Through iterative hypothesis forming and testing against new sets of data a map of learning transitions in mobile lifelong will be developed.
An analysis of lifelong learning transitions of mobile learners: implications and principles for the design of technologies to support and facilitate lifelong learning transitions
This project will focus on analysing data from technology usage to develop a set of lifelong learning transition metrics. These metrics will in turn be used to inform the development of technologies and applications that support transitions in lifelong learning.
Applying a data mining/grounded theory approach the researchers will endeavour to extract a set of learning transitions metrics from data collected as lifelong learners conduct their normal daily activities.
Two or more sets of data from different cohorts of participants would enrich and provide more validity to the findings. To this end, it is envisaged that the Ericsson will share usage data of their employee.
These position are funded within the framework of the EU EDUWORKS Initial Training Network.
Requirements Project 1
* Excellent academic record with Master's degree in Technology Enhanced Learning, Educational Technology, E-Learning, Education or related master in the area of technology and teaching and learning.
* Experience with the design, development implementation and evaluation of technology enhanced teaching and learning experiences and technologies and tools.
* Experience with qualitative and quantitative research methodologies.
* Background in education and technology expertise in qualitative educational or sociological field work and very strong interest in mobile, lifelong and informal learning.
Requirements Project 2
• Excellent academic record with Master's degree in Computer Science, Information Systems, Intelligent Systems, Data Management, Data/Learning analytics, Web-services technologies, or related area.
• Experience with learning solution design and development of models, tools and applications. Solid instructional design skills and strong interest in cutting-edge web development and social technologies. Knowledge of user experience and related pedagogical issues.
• Experience with data analytics and qualitative research methodologies.
• Background in computer science with strong knowledge of educational technology, interest in mobile, lifelong and informal learning.
* Fluent in English with very good writing and communication skills. English language certification if English is not your first language, the requirement being: IELTS: 7.0+, TOEFL iBT: 100+, TOEFL pBT: 600+, CEF: C1+, or equivalent.
* Highly motivated to pursue a career in science and ability to work in a team and independently. Ability to think strategically and systematically. Critical thinker with demonstrated creative problem solving skills.
* Candidates applying for this position must also meet the entry requirements<http://www.tcd.ie/courses/postgraduate/how-to-apply/requirements/> for PhD candidates in Trinity College Dublin
* High thesis grade
* Publication(s) in peer reviewed journal(s)
* Honours distinction
Based on a full-time appointment the duration of the appointment as a Marie Curie ITN fellow will be for maximum period of 3 years. The appointment will be 36 months and should lead to a dissertation (PhD thesis). A Personal Career Development Plan will be drafted that includes the attendance of EDUWORKS courses and meetings and the completion of the Structured PhD programme in the School of Computer Science and Statistics<https://www.scss.tcd.ie/postgraduate/structuredphd/>. The PhD student is expected to assist in teaching.
The gross monthly salary will be according to the salary scales for PhD students in the host country. The collective employment agreement (CAO) of Irish universities is applicable. Besides the salary, the PhD student will obtain a mobility allowance for the duration of the 3 years of the Marie Curie ITN project. Positions are aimed at being full-time, but by exception, if needed for family reasons, part-time appointments are possible.
Host institute: KDEG (Knowledge and Data Engineering Group) in the School of Computer Science and Statistics<https://www.scss.tcd.ie/>, Trinity College Dublin
KDEG investigates the fundamental challenges and practical applications of knowledge-driven systems. Its research combines knowledge discovery, representation and reasoning with web-based data management and intelligent systems engineering. This research is advanced through application in a number of areas. For further information:http://kdeg.scss.tcd.ie<http://kdeg.scss.tcd.ie/>
Founded in 1592, Trinity College Dublin is the oldest university in Ireland and one of the older universities of Western Europe. On today's campus, state-of-the-art libraries, laboratories and IT facilities, stand alongside historic buildings on a city-centre 47-acre campus. Based in the heart of Dublin, TCD offers an exceptional working and social environment that attracts students and researchers from around the world. TCD's research impact is currently ranked 44th in the World by the Times Higher Education Ranking of World Universities and 10th in Europe by the Leiden University Ranking of World Universities based on research performance. As Ireland's premier university, the pursuit of excellence through research and scholarship is at the core of a Trinity education. TCD has an outstanding record of publications in high-impact journals, and a track record in winning research funding which is among the best in the country.