Papers by Ronan Champagnat
Lecture notes on data engineering and communications technologies, 2024
HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific re... more HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.
Présentation de l'atelier L'atelier Exploration des traces dans un monde du tout numérique : enje... more Présentation de l'atelier L'atelier Exploration des traces dans un monde du tout numérique : enjeux et perspectives a pour objectif principal de présenter des travaux innovants sur l'analyse et l'extraction d'informations issues des traces numériques que nous laissons tous derrière nous lors de nos interactions avec les technologies numériques. L'atelier explore les différentes formes de traces numériques, que ce soit lié à la robotique, l'e-éducation, la mobilité, les réseaux sociaux et bien d'autres encore. Les participants ont l'opportunité d'explorer les enjeux et les défis liés à la collecte, au traitement et à l'analyse de ces données. Ils sont également amenés à discuter des perspectives futures de la collecte et de l'utilisation des traces numériques, ainsi que de l'impact potentiel sur les individus et les organisations. L'atelier s'appuie sur des méthodes de recherche innovantes, telles que l'analyse de données massives, l'apprentissage automatique, l'IA explicable et la visualisation de données. Cet atelier s'intéresse également à une ouverture aux enjeux des traces numériques dans le cadre de travaux de recherche en géographie.
Lecture notes in networks and systems, 2023
HAL (Le Centre pour la Communication Scientifique Directe), 2001
International audienc
Lecture Notes in Computer Science, 2019
In digital libraries, users have diverse ways to perform their research according to their object... more In digital libraries, users have diverse ways to perform their research according to their objectives. In order to have access to target documents, users almost make sequences of activities that can be considered as processes. It would be useful to represent the behavior of users in their information seeking processes in order to have a global view on users’ interactions with digital libraries and to effectively answer to their requirements. Discovered processes in digital libraries are almost self-defined that may vary in term of significance, structure and results. It is therefore important to automatically build a model that describe users’ behaviors. In this paper, we tested six state-of-the-art process discovery techniques on two datasets collected from users’ interactions with a cultural heritage digital library. Our preliminary evaluation presents the best performing model that can be used to optimize the exploration of documents in digital libraries.
HAL (Le Centre pour la Communication Scientifique Directe), Jul 20, 2017
Serious games seem to be a promising alternative to traditional practices for learning. Recently,... more Serious games seem to be a promising alternative to traditional practices for learning. Recently, their use in computer science education and learning programming became more widespread. Actually, many students in programming courses have difficulties to master all required competencies and skills especially at introductory level and games have the potential to be an important teaching tool for their interactive, engaging and immersive activities. However, the critical point of a serious game remains the relation between the game and its pedagogical content. In fact, a serious game has to deal with two scenarios: the game scenario and the pedagogical scenario. In this paper, we introduce a system that aims to improve algorithmic learning using serious games. We propose a method for managing both game and pedagogical scenarios along with a double adaptation: the first phase that adapts the pedagogical scenario and the second phase that adapts the game scenario. We propose a software architecture that ensures the interaction between the aforementioned two phases. The learning and the game scenarios are planned according to the student's profile, his pedagogical path, his progress in the game and also taking into account the collected traces in the observation phase.
HAL (Le Centre pour la Communication Scientifique Directe), Aug 20, 2019
International audienc
As the number of tools and platforms that have been developed to support learning programming dem... more As the number of tools and platforms that have been developed to support learning programming demonstrates, learning programming is becoming more and more ubiquitous in all curricula. In this paper, we present an exploratory study that aims to identify students' programming behaviors. The analysis is based on unsupervised classification algorithms, and features have been selected from prior works on educational data mining. Six students' behaviors were identified using the k-means algorithm. ANCOVA, an extension of analysis of variance (ANOVA), was used to test the main and interaction effects of students' behaviors on their final course scores.
IFAC Proceedings Volumes, May 1, 1997
This paper deals with the modeling of hybrid processes. It requires to model the continuous part ... more This paper deals with the modeling of hybrid processes. It requires to model the continuous part as well as the discrete one. In a first time, various highlevel Petri net models are introduced. Then a definition of a model coupling predicate transition Petri-net and differential algebraic equations is presented. It outlines the interactions between the two views and the benefits and limitations. The modeling of a gas storage facility is used to illustrate the model.
Proceedings of the 15th International Conference on Computer Supported Education
Procedia Computer Science, 2021
Abstract Nowadays, Learning Management Systems (LMS) play an intrinsic role in education. They ga... more Abstract Nowadays, Learning Management Systems (LMS) play an intrinsic role in education. They gather traces about the learner (course view, wiki view, quiz attempt, etc.) in event logs. These logs offer the opportunity to provide dashboards and analysis on learners. There are several techniques that analyze event logs for different purposes (adaptation, recommendation, performance detection, etc.). Within this framework, our central focus is upon Educational Process Mining technique which generates process models for improving learning resource recommendation. We set forward an architecture leading to discover process models and recommend to the learner not only learning resource but also process models, each of which is relative to a specific learning resource. These models exert a certain influence on the result of learning resource recommendation. One of the reason that endows our work with an original aspect is that it automatically analyses event logs based on multi-features extracted from the learner’s profiles. However, the state of the art works require a manual analysis step based on learning results uniquely. We evaluated the discovered process models grounded on the event logs of Moodle LMS. These event logs contain 42,438 traces of 100 students who learned a course over one semester. Results corroborate the good performance of our work.
Computers in Industry, 1998
... 5. R. Valette, Petri nets for control and monitoring: Specification, verification and impleme... more ... 5. R. Valette, Petri nets for control and monitoring: Specification, verification and implementation, in: ADEDOPS ... 7. H. Alla, Modelling and simulation of event driven systems by petri nets, in ... 8. J. Le Bail, H. Alla, R. David, Hybrid Petri net, in: European Control Conference, Grenoble ...
In education, e-learning is highly adopted to improve the learning experience and increase learni... more In education, e-learning is highly adopted to improve the learning experience and increase learning efficiency and engagement. Yet, an explosion of online learning materials has overwhelmed learners, especially when trying to achieve their learning goals. In this scope, recommender systems are used to guide learners in their learning process by filtering out the available resources to best match their needs, i.e. to offer more personalized content and learning paths. Concurrently, process mining has emerged as a valuable tool for comprehending learner behavior during the learning journey. To synergize these disciplines and optimize learning outcomes, our paper introduces an ontology-based framework that aims to recommend an adaptive learning path, driven by a learner's learning objective, personalized to his learning style and enriched by the past learning experience of other learners extracted via process mining. The learning path considers pedagogical standards by employing Bloom's taxonomy within its structure. The framework establishes an Ontological Foundation, to model the Learner, Domain Knowledge, and Learning Path. Choosing Computer Science as a domain, we construct a knowledge base using synthesized data to underpin the framework. For past learning experience, we analyze Moodle log data from 2018 to 2022, encompassing 471 students in the Computer Science and
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Papers by Ronan Champagnat