About

quan-nguyen-phd-2(1)


Quan Nguyen
Pronouncing /kwan/ /new-yen/

Ph.D. candidate, Institute of Educational Technology,
The Open University UK .

Email: quan.nguyen@open.ac.uk
Twitter: @QuanNguyen3010
Curriculum Vitae


Quan Nguyen
 holds a BSc and a MSc in Economics and Information Management (cum laude) from Maastricht University, Netherlands. He is currently doing his PhD in Learning Analytics & Learning Design at the Open University UK (2016-2019) and working as an Associate Lecturer in Applied Statistics at University of Arts London (Jan 2018 – now).

His research focuses on the use of learning analytics on a large scale to understand and improve learning design in Virtual Learning Environment. In particular, this research analyses teachers’ learning design against actual students’ interactions on Moodle. He leverages a mixed of quantitative techniques such as network analysis, multi-level modelling, machine learning and qualitative (e.g. interview).

Quan’s research has been published in leading international peer-reviewed journals such as Computers and Human Behavior, IEEE Transactions on Learning Technologies, Journal of Computer Assisted Language Learning, and in the proceedings of well-established conference such as the International conference on  Human-Computer Interaction (HCII), Learning Analytics & Knowledge (LAK), The European Association for Research on Learning and Instruction (EARLI). Quan’s research has been widely recognized by practitioners and researchers both within the Open University and within the research domain internationally, as evidenced by his Best Paper Awards given at International Conferences (LAK18, HCII17) and his Doctoral Fellowship granted by the Leverhulme Trust.

By connecting the two emerging fields of Learning Design & Learning Analytics, Quan’s research strives to advocate a shift from ‘static’ to ‘dynamic’ learning design approach through continuously fine-tuning the design based on feedback from learner during their learning process. His research brings together multiple stakeholders (IT staff, learning designers, instructors, researchers from other disciplines) to ensure a strong alignment between theory and practice, and to make impact on real-world problems.