Dr Marie-Luce Bourguet, PhD

Senior Lecturer in Computer Science
Email: marie-luce.bourguet@qmul.ac.ukRoom Number: n/a, off-site
Profile
Dr. Marie-Luce Bourguet is a Senior Lecturer (Associate Professor) in Computer Science at the School of Electronic Engineering and Computer Science at Queen Mary University of London. She teaches on the Joint Programme between QMUL and Beijing University of Posts and Telecommunications (BUPT).
She is Director of the EECS Educational Scholarship Centre (ESC) and Co-Director of the Centre for Academic Inclusion in Science and Engineering (CAISE).
She is a Senior Fellow of the Higher Education Academy (HEA) and a Senior Member of IEEE.
Teaching
Multimedia Fundamentals (BUPT joint programme)
This module is an introduction to the representation, analysis and processing of digital multimedia. It covers topics such as sampling and quantisation, colour models, sound, image and video representations, compression and encoding, elements of psychoacoustics, elements of vision, JPEG, MPEG, MP3, and elements of digital broadcasting. The main methods of delivery are a mix of asynchronous activities (interactive videos, online quizzes, exercises), synchronous sessions (live lectures and tutorials) and labs.
Interactive Media Design and Production (BUPT joint programme)
The module provides principles and techniques of interactive media design and production using conventional media processing tools. It covers the following topics: elements of cognitive psychology, visual perception, human factors in multimedia design, design principles, and design process, animation and interactivity, colour perception, use of the media, usability and heuristic evaluation, image formats, digital and web video, principles of video interaction. JavaScript, HTML5, and CSS are also used to produce interactive multimedia content in the labs via mini-projects.
3D Graphics Programming Tools (BUPT joint programme)
Research
Research Interests:
I work at the intersection of HCI, multimedia signal processing, pervasive computing, artificial intelligence and user experience.
Currently, I am applying techniques from computer vision and multimodal interaction to the development of innovations in educational technology.
Publications
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Nugroho YS, Bourguet M-L, Soyel H et al. (publicationYear). Avatars vs. Video Presence: Effects of Instructor Presence on Cognitive Load in Video-Based Learning. nameOfConference
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Bourguet M-L, Omfalos EG, Jones M (publicationYear). Co-Creating Collaborative Learning Spaces in the Metaverse to Foster Online Teamwork and Belonging. Practitioner Proceedings of the 11th International Conference of the Immersive Learning Research Network
DOI: 10.56198/tny3rz68
QMRO: qmroHref -
Bourguet M-L (2025). Decoding Student Approaches: Navigating Complex Open-Ended Engineering Problems with Large Language Models. 2025 IEEE Global Engineering Education Conference (EDUCON)
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Nugroho YS, Bourguet M-L, Soyel H et al. (2025). Exploring Instructor Presence, Slide Content Variation, and Answer Cue Presentation Modes on Cognitive Load and Learning in Video-Based Learning Environments. 2025 IEEE Global Engineering Education Conference (EDUCON)
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Nugroho YS, Bourguet M-L, Soyel H et al. (2024). Virtual Focus: How Avatar and No-Instructor Video Lectures Enhance Learning Gain and Visual Attention. 2024 Seventh International Conference on Vocational Education and Electrical Engineering (ICVEE)
QMRO: qmroHref -
Bourguet M-L (2024). Demonstrating the impact of study regularity on academic success using learning analytics. Proceedings of the 14th Learning Analytics and Knowledge Conference
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Savickaite S, Oyebisi J, Stockman T et al. (publicationYear). Instructional Design and Authoring of Accessible and Inclusive Extended Reality Learning Experiences. nameOfConference
DOI: 10.59668/2033.18642
QMRO: qmroHref -
Oyebisi J, Bourguet M-L, Stockman T (2024). Work-in-Progress—Creating Immersive Learning Experiences with Generative AI: A Case Study in Dental Education. Academic Proceedings of the 10th International Conference of the Immersive Learning Research Network (iLRN2024)
DOI: 10.56198/u6c0wofmv
QMRO: qmroHref