TÉL. +33 2 29 00 14 06
Technopôle Brest-Iroise CS 83818
29238 Brest Cedex 3
For about 20 years, I have worked at the intersection of the fields of Artificial Intelligence (knowledge engineering) and TEL (Technology Enhanced Learning). Its research activities focus on the fields of learning, lifelong learning and cultural heritage for formal and informal learning and the design of new computing environments to support researchers in History of Science and Technology - Digital Humanities. I am interested in the problems of designing environments of learning and cultural mediation based on investigative approaches or connectivism, using social media in open environments of the MOOC type. From a knowledge engineering informational point of view, the issues are as follows: acquisition and representation of knowledge, learning analytics, semantic web and Linked Data, context sensitivity and adaptation, Learning Analytics, and dynamic generation of dashboards to support all stakeholders
2006 : HDR in Computer Science, University of Bretagne Sud
1990 : PHD in Computer Science, University of Rennes 2.
1980 : DEA in Computer Science, University of Rennes 2.
1978 : Postgraduate diploma in Electronic and Mechanics (Engineering school), l'Ecole Nationale d'Ingénieurs de Brest.
04/2020 - : Full Professor, Computer Science Department
2015- 03/2020 : Head of Computer Science Department
2006- : Full Professor, Computer Science Department
2001-2006 : Professor, Artificial Intelligence and Cognitive Science Department
1986-2001 : Assistant Professor, Artificial Intelligence and Cognitive Science Department.
1983 : Reader, Computer Science and Network Department
1980 : Engineer in a private company, Thomson CSF, CEBM.
CARNOT TSN Project : eXplainable AnalytIcs for EDUcation - XAI-EDU
The eXplainable AnalytIcs for EDUcation (XAI-EDU) project aims at using Artificial Intelligence (AI) techniques to produce Learning Analytics (LA) that will support learners and teachers in modifying their practices, based in particular on a dimension that is currently little used: the influence of social interactions. To address this issue, we propose a mixed numerical (LA) / symbolic approach - knowledge engineering - to make decision-making tools explainable and actionable. This type of approach is not currently addressed in XAI research. This project therefore aims to create a more sustainable collaboration between two LAB-STICC teams (DECIDE and IHSEV) and to create an ecosystem bringing together different school stakeholders (teachers, researchers, DISI, DFVS, etc.).
Partners : IHSEV and DECIDE Teams, LabSTICC Lab
CominLabs Project : SEDELA : SElf Data for Enhancing lifelong Learning Autonomy
We all know that a person will have many different jobs during his/her life. Lifelong Learning is becoming a central asset, beginning during initial training at university, but currently there is a lack of appropriate tools and methods combining self-reflective learning support and social interactions. Learner empowerment relates to the ability for a person to be able to define his/her own learning path and act on his/her environment, including peer learning. It is a prerequisite for autonomy, to become a full citizen.
Self-regulated learning methods, learner models and trust are key issues to support lifelong learning. The mastering of self-regulated learning methods is enhanced by digital tools, as the willingness to develop digital literacy prove it. Learner models designed to develop such instrumentation lack a real collaboration between learning process support needs and new opportunities provided by data availability. Current support thanks to reflexive instrumentation is still very basic, related to short term or specific data. Trust in tools is becoming a central concern in digital society, especially when personal data are handled, as it is the case in learning. When trust is ensured, new innovative services may be designed that empower people and change their usage.
Self-regulated learning process, learner models, and trust are hence tightly coupled. A holistic approach is needed to propose more effective self-regulated learning process, taking advantage of relevant services based on more expressive learner models, whose acceptability is enhanced by trust in collaboration. Consequently, the main goal of the multidisciplinary project Sedela, is to design, develop, experiment and evaluate an improved model of Self-Regulated Learning Process, supported by Semantic Open Learner Models, Trusted collaborative services and an experimental infrastructure, in a lifelong learning and trusted perspective.
Partners: LabSTICC Lab, IHSEV Team Brest, CREAD LAB Team Rennes, LS2N Lab, GDD TEAM, Nantes
ANR Project HUBBLE: HUman oBservatory Based on anaLysis of e-LEarning traces.
The HUBBLE project proposes the creation of an observatory for the construction and sharing of analysis processes of traces of massive on-line courses. Our observatory will give the actors of such courses (e.g. teachers, researchers, designers, students, administrators and policy makers) the possibility to analyze and explain the teaching and learning phenomena occurring within e-learning environments. The analysis processes we build will therefore accompany actors’ decision making, but will also guide researchers and other actors in the elaboration of analytical const ructs, models and indicators. The HUBBLE project will be based on a platform that allows for the construction, sharing and management of analysis processes concerning the traces that are available in the observatory. In such a context, we consider it crucial to address the ethical concerns of stocking and analyzing traces.
Partners: Team MeTAH, LIG (Grenoble), Le LINA (Nantes), Team SILEX, LIRIS (Lyon),Team EIAH, LIUM (Laval), OpenClassrooms (Paris), L’Institut français de l’Éducation (IFé, ENS de Lyon), Le laboratoire STEF (Paris)
Website : http://hubblelearn.imag.fr/?lang=fr
Keywords : learning analytics, semantic web, technology-enhanced learning systems
ITEA 2 Project MOOCTAB: Massive Open Online Course TABlet
MOOCTAB aims at creating a tablet based platform dedicated to the lifelong learning (primary, secondary, higher, and continuous) using an on-demand MOOC platform. The MOOCTAB project intends to answer these challenges by developing a cloud based European MOOC on Demand platform with a Plug&Play approach deployable in Europe and developing countries. This platform will take advantage of existing technology bricks and existing open source platforms like edX. Enhancement of this platform will be detailed in the SoTA and innovation paragraphs.
At the other end of the chain, tablet devices are the perfect catalyser for e-education and to consume MOOC content. The tablets are taking over the market share from workstation computers due to their competitive pricing and rich multimedia features. Tablet computers provide a unique opportunity to create a truly portable learning experience. Lightweight with a long battery life, they offer possibilities not previously seen with other mobile devices. This lends itself to better use of technology within teaching. Using tablets in scenarios, such as field trips, workshops or physical education lessons offers opportunities for research, evidence gathering and presentation. All of this has brought new pedagogic perspectives to the teachers, but there are still challenges to overcome. Supporting teachers with training is essential in order to realise the potential of this technology in the classroom.
Website: https://itea3.org/project/mooc-tab.html, MOOCTAB Leaflet
Partners: Telecom Saint Etienne, Gemalto SA, IMMANENS, Mantano SAS, NXP SemiConductors, Viaccess-Orca, Bahcesehir University, KOBIL, TUBITAK, Ubit, Vestel Elektronik.
ANR Network Project ORPHEE
The Orphée Network aims at structuring Technology-Enhanced Learning (TEL) stakeholders communities (industry with special focus on SMEs, providers, designers, educational institutions and professional associations, decision makers, research laboratories, etc.) in order to leverage the synergy of partners to successfully take up TEL challenges, with effective and sustainable results. The focus of the project is on three main issues: International, Business and Training & Experimentations. A road map will be adopted to sustain the network beyond the two years of the ANR project.
From a training perspective, the objectives are to create a TEL doctoral school at a national level, to provide content for online courses with theoretical, technical and practical content (e.g. MOOCs), to promote learning from experience, knowledge sharing, and collaborative knowledge building. Orphee tools will include a portal, support to collaborative projects, etc. The Orphée Network will develop partnership with the TEL industry and providers with the objective to enhance knowledge transfert, to discuss key TEL issues, and to respond to call for projects. At an international level, the main goals is to develop the connections between the French and the international research communities. For this purpose, the Orphée Network will support the creation of strong consortia committed to play an active role, to promote the technical and scientific competences of the French TEL research community, and to be part of international TEL studies and research projects.
Website : http://www.orphee-edu.fr/
OSEO Project : SMART-SENSING
The Smartsensing project addresses the e-textile or smart fabric market. These are textiles that meet high technical and qualitative requirements (mechanical, electronic, thermal, durability) to adapt to a technical function and its environment.
Keywords : Smart sensor networks, ontologies, semantic web, smart sensors, sport,
SMOOPLE (Semantic Massive Open Online Pervasive Learning Environment)
The SMOOPLE environment is a Semantic Massive Open Online Pervasive Learning Environment based on a set of social media tools and a Semantic Web approach, more precisely on Linked Data. It is a tool developed by the Team.
Modales Project : The MODALES project (Modeling Didactic-based Active Learning Environment in Sciences) is aimed at designing an adaptive learning system for probationary teachers, based on a didactical theory and teacher real practices – funded by the Bretagne region. The adaptive and context-aware learning System is based on a semantic and didactic-based model of scenarios.
2005-2008, Partners: IUFM de Bretagne: S. Laubé, Y. Kuster
P-Learnet Project : he main goal of the p-LearNet ANR Project (Pervasive Learning Network) is to explore the potential of Pervasive Communications, for a large and important field of application: human learning at workplace, whatever the place, the time, the organizational and technological contexts, of the individual or collective learning process.
2007-2010, Partners: LIFL Lille University, Auchan, La poste, French Virtual Medical University, INT- GET
CANDLE Project :The Candle Project (Cooperative And Network Distributed Learning Environment, a European Project IST- 1999-11276) and the Atlas-Tutor project involving
De Montfort University, Leicester, Neurology Institute of London, University of Sussex and University of Birmingham.
- Bruno Rohou, " Modélisation des ports de Brest (France) et de Mar del Plata (Argentine) en tant que macro systèmes technologiques complexes. Application à la modélisation des connaissances pour le web sémantique pour l’histoire des sciences et des techniques." LABSTICC / IHSEV, CFV Brest, UBO
- Marie-Morgane Abiven, "Humanités numériques et méthodes de conservation et valorisation des patrimoines maritimes. L’exemple des arsenaux de Brest et Venise", LABSTICC /IHSEV, CFV Brest, UBO
- DABBEBI Inès, "Conception de tableaux de bords dynamiques, adaptatifs et contextuels.", LABTICC/IHSEV, LIUM (IEIAH), Laval
- Samya Sagar, "Gestion intelligente de réseaux de capteurs, intégrés à des vêtements sportifs instrumentés", -co-tutelle avec l’Université de Sfax en Tunisie, LABSTICC / IHSEV
- Knowledge Representation, Reasonning
- Ontology Design
- Semantic Web : Open Linked Data, SPARQL Queries
Technology Enhanced Learning
- Domain, Scenario, Context, Adaptation Ontologies
- Adaptation & Context Awareness
- Learning Analytics: Effective Generic Drop-out Prediction Model for MOOCs,
- Dynamic and Context-Aware Dashboards for Stakeholders
Internet Of Things
- Ontology Design & Semantic Sensor Network
- Activity, Smart Sensor, Data Sheet, Indicators Ontologies
- Port History Ontology Design based on CIDOC-CRM
- Large Technological Systems
- Ontology & Virtual Reality & Know How
Knowledge Engineering & Semantic Web
Ontology Design: OWL2
OPEN Linked Data: SPARQL Endpoint, SPARQL Queries , Federated Queries
Semantic Web & Social Media & Internet of Things
- Data Bases
- Classical Logics: Predicate Logic, Automated Theorem Proving
- Non Standard Logics: Modal Logics, Non Monotonic Logics, Temporal Logics, etc.
- Course Presentations
- Co-Responsable du groupe “Technology-Enhanced Learning & Cultural Heritage.” de l’équipe IHSEV du Lab-STICC.
- Porteur du projet de réseau ANR ORPHEE : Constituer une communauté de l’e-formation en réunissant la grande majorité des acteurs du domaine et travailler à la structuration de cet ensemble
- Membre du CSV du Pôle Images et Réseaux (jusqu’à 2016), 2016- Expert pour le pôle
- Sociétés Savantes : Membre ATIEF, AFIA,
- Expertises : Expertises AERES (5), Expertise de projets pour l’ANR ; Expert auprès de la région Rhône Alpes pour le Cluster Isle (2008-2011) et pour des demandes régionales de financements de thèses, projet « Personnalisation des EIAH » ; Expertise d’un projet pour la Royal Society
- Jurys : Comités de sélection : maitres de conférences et Professeurs ; Jury de Thèses et d’HDR, souvent comme rapporteur, (6 à 10 par an)