VLDB 2026 Research / reviewers in the wild / expert
Jean Heutte
dblp:159/1780
· DBLP profile ↗
6ranked-venue papers
0as first author
4since 2021 · last 2025
0000-0002-2646-3658ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 6 · 4 since 2021Applied, interdisciplinary, general and emerging computing · 6 · 4 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Learning Game Co-Design by Second-Year Nursing Students and Its Effects on Knowledge
Sebastian Gajewski, Nour El Mawas, Jean Heutte |
CSEDU (2) | 3 |
| 2022 | A Systematic Literature Review of Game Design ToolsabstractExisting research works show the role of game-based learning to increase lifelong learners’ learning andmotivation. Furthermore, many game design tools are increasingly available and easy-to-use even by peoplewithout any technical knowledge, making the choice of the tool difficult. The aim of this paper is to identifyand compare game design tools in order to help people to choose the most suitable game design tool for theirneeds. After having identified 9 criteria that characterize a game design tool, we have conducted a systematicliterature review following the PRISMA methodology. This methodology allows us to identify references via2 methods: databases and the interview with a pedagogical engineer. From 302 identified studies via 5databases (IEEE Xplore, ScienceDirect, Scopus, Springer, and Web of Science), 18 have been used for thediscussion. From the 8 game design tools advised by the pedagogical engineer, 3 have been used for thediscussion. These 2 methods allow us to identify 12 game design tools. This research work is dedicated toTechnology Enhanced Learning community and pedagogical community, and more specifically to gamedesigners, pedagogical engineers, teachers, and researchers who encounter difficulties in choosing the gamedesign tool the more suitable for their needs. Sebastian Gajewski, Nour El Mawas, Jean Heutte |
CSEDU (2) | 3 |
| 2022 | Towards a Machine Learning Flow-predicting Model in a MOOC Context
Sergio Iván Ramírez Luelmo, Nour El Mawas, Rémi Bachelet, Jean Heutte |
CSEDU (1) | 4 |
| 2021 | Machine Learning Techniques for Knowledge Tracing: A Systematic Literature ReviewabstractInternational audience Sergio Iván Ramírez Luelmo, Nour El Mawas, Jean Heutte |
CSEDU (1) | 3 |
| 2020 | A Literature Review on Learner Models for MOOC to Support Lifelong Learning
Sergio Iván Ramírez Luelmo, Nour El Mawas, Jean Heutte |
CSEDU (1) | 3 |
| 2019 | A Flow Measurement Instrument to Test the Students' Motivation in a Computer Science CourseabstractInternational audience Nour El Mawas, Jean Heutte |
CSEDU (1) | 2 |