Back
  1. Home
  2. Profile of Christian GREVISSE (Unilu)
Profil

GREVISSE Christian

University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Life Sciences and Medicine (DLSM) > Medical Education

ORCID
0000-0002-9585-1160
Main Referenced Co-authors
ROTHKUGEL, Steffen  (16)
BOTEV, Jean  (8)
Manrique, Rubén (4)
Mariño, Olga (3)
ATASHPENDAR, Aryobarzan  (2)
Main Referenced Keywords
Learning Material (5); Learning material (4); Integration (3); Authoring Support (2); Document Browser (2);
Main Referenced Disciplines
Computer science (29)
Human health sciences: Multidisciplinary, general & others (6)
Education & instruction (4)
Arts & humanities: Multidisciplinary, general & others (1)
Surgery (1)

Publications (total 32)

The most downloaded
47 downloads
GREVISSE, C., & Florez, H. (October 2023). Uso de modelos de lenguaje grandes en la educación: ¡dejemos el miedo atrás y aprovechemos la oportunidad! Revista Científica del Centro de Investigaciones y Desarrollo Científico de la Universidad Distrital Francisco José de Caldas, 47 (2). https://hdl.handle.net/10993/57114

The most cited

13 citations (OpenAlex)

GREVISSE, C., Manrique, R., Mariño, O., & ROTHKUGEL, S. (2018). Knowledge Graph-based Teacher Support for Learning Material Authoring. In Advances in Computing - CCC 2018. Springer. doi:10.1007/978-3-319-98998-3_14 https://hdl.handle.net/10993/36645

Reales, D., Manrique, R., & GREVISSE, C. (06 November 2024). Core Concept Identification in Educational Resources via Knowledge Graphs and Large Language Models. SN Computer Science, 5 (8). doi:10.1007/s42979-024-03341-y
Peer Reviewed verified by ORBi

GREVISSE, C. (2024). RasPatient Pi: A Low-Cost Customizable LLM-Based Virtual Standardized Patient Simulator. In Communications in Computer and Information Science. Springer Nature Switzerland. doi:10.1007/978-3-031-75147-9_9
Peer reviewed

GREVISSE, C. (27 September 2024). LLM-based automatic short answer grading in undergraduate medical education. BMC Medical Education, 24 (1), 1060. doi:10.1186/s12909-024-06026-5
Peer Reviewed verified by ORBi

SHEYKHMOHAMMADI, N., ZAMPUNIERIS, D., STAMMET, P., GREVISSE, C., & REIS, S. (2024). Developing Automated Software for Improving Feedback Analysis and Self-Debriefing in High-Fidelity Medical Simulation. In Proceedings of the 2024 IEEE 18th International Conference on Application of Information and Communication Technologies (AICT). IEEE. doi:10.1109/aict61888.2024.10740406
Peer reviewed

Miguel, J. C., GREVISSE, C., Sardella, A., & PolIo-Cattaneo, M. F. (2024). Requirements and Challenges to use Explainable Artificial Intelligence in Histopathology: A Rapid Review. In 2024 IEEE 12th International Conference on Healthcare Informatics (ICHI). IEEE. doi:10.1109/ichi61247.2024.00112
Peer reviewed

MASSARD, G., PAVLOU, M. A., SCHNEIDER, J., GREVISSE, C., & Decker, G. (2024). Learning curves for minimally invasive major lung resections: facts and action points! Shanghai Chest. doi:10.21037/shc-23-12
Peer reviewed

GREVISSE, C., PAVLOU, M. A., & SCHNEIDER, J. (10 June 2024). Docimological Quality Analysis of LLM-Generated Multiple Choice Questions in Computer Science and Medicine. SN Computer Science, 5. doi:10.1007/s42979-024-02963-6
Peer Reviewed verified by ORBi

AREND, B.* , TORABIAN, J.* , GREVISSE, C.* , SUNNEN, P.* , & BUSANA, G.*. (2023). Digital Technologies and Online Learning in Higher Education (Luxembourg). In Bloomsbury Education and Childhood Studies. London, United Kingdom: Blloomsbury Publishing. doi:10.5040/9781350887176.025
Peer reviewed
* These authors have contributed equally to this work.

GREVISSE, C. (2023). Comparative Quality Analysis of GPT-Based Multiple Choice Question Generation. In Communications in Computer and Information Science (pp. 435-447). Springer Nature Switzerland. doi:10.1007/978-3-031-46813-1_29
Peer reviewed

GREVISSE, C., & Florez, H. (October 2023). Uso de modelos de lenguaje grandes en la educación: ¡dejemos el miedo atrás y aprovechemos la oportunidad! Revista Científica del Centro de Investigaciones y Desarrollo Científico de la Universidad Distrital Francisco José de Caldas, 47 (2).
Editorial reviewed

GREVISSE, C. (April 2023). Response to: Twelve tips for introducing E-portfolios in health professions education: The technologist’s point of view. Medical Teacher, 45 (8). doi:10.1080/0142159X.2023.2203309
Peer Reviewed verified by ORBi

SHEYKHMOHAMMADI, N., GREVISSE, C., STAMMET, P., & ZAMPUNIERIS, D. (2023). Challenges and Requirements in Initial High-Fidelity Simulation Experiences for Medical Education: Highlighting Scenario Development. In Proceedings of the 11th International Conference on University Learning and Teaching. IEEE. doi:10.1109/InCULT59088.2023.10482520
Peer reviewed

GREVISSE, C. (2022). Flash, who? On the Obsolescence of Digital Technology and Its Impact on E-learning Applications: A Case Study. In Proceedings of the XVII Latin American Conference on Learning Technologies (LACLO). IEEE. doi:10.1109/LACLO56648.2022.10013411
Peer reviewed

ATASHPENDAR, A., GREVISSE, C., BOTEV, J., & ROTHKUGEL, S. (2022). Semantic and Interactive Search in an Advanced Note-Taking App for Learning Material. In Proceedings of the 24th International Conference on Human-Computer Interaction (HCI International). Springer. doi:10.1007/978-3-031-05657-4_2
Peer reviewed

BOTEV, J., GREVISSE, C., & ROTHKUGEL, S. (2021). Student Response Systems in Remote Teaching. In Proceedings of the 23rd International Conference on Human-Computer Interaction (HCI International).
Peer reviewed

GREVISSE, C., Martins Gomes, C., & ROTHKUGEL, S. (2020). AR4OER: A Semantic Platform for Open Educational Augmented Reality Resources. In Proceedings of the 2020 IEEE International Symposium on Multimedia. IEEE. doi:10.1109/ISM.2020.00047
Peer reviewed

GREVISSE, C., & ROTHKUGEL, S. (2020). An SKOS-Based Vocabulary on the Swift Programming Language. In The Semantic Web – ISWC 2020 (pp. 244-258). Springer. doi:10.1007/978-3-030-62466-8_16
Peer reviewed

GREVISSE, C. (2020). The ALMA-Yactul Ecosystem: A Holistic Approach for Student-centered Integration of Learning Material [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/41490

GREVISSE, C., ROTHKUGEL, S., & REUTER, R. (23 December 2019). Scaffolding support through integration of learning material. Smart Learning Environments, 6 (28). doi:10.1186/s40561-019-0107-0
Peer Reviewed verified by ORBi

ATASHPENDAR, A., GREVISSE, C., & ROTHKUGEL, S. (2019). Enhanced Sketchnoting through Semantic Integration of Learning Material. In Applied Informatics. Springer International Publishing.
Peer reviewed

Manrique, R., GREVISSE, C., Mariño, O., & ROTHKUGEL, S. (2018). Knowledge Graph-based Core Concept Identification in Learning Resources. In 8th Joint International Conference, JIST 2018, Awaji, Japan, November 26–28, 2018, Proceedings. Springer. doi:10.1007/978-3-030-04284-4_3
Peer reviewed

GREVISSE, C., Manrique, R., Mariño, O., & ROTHKUGEL, S. (2018). SoLeMiO: Semantic Integration of Learning Material in Office. In Proceedings of E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2018.
Peer reviewed

GREVISSE, C., Manrique, R., Mariño, O., & ROTHKUGEL, S. (2018). Knowledge Graph-based Teacher Support for Learning Material Authoring. In Advances in Computing - CCC 2018. Springer. doi:10.1007/978-3-319-98998-3_14
Peer reviewed

GREVISSE, C., MEDER, J. A. A., BOTEV, J., & ROTHKUGEL, S. (2018). Ontology Coverage Tool and Document Browser for Learning Material Exploration. In 2018 Thirteenth International Conference on Digital Information Management (ICDIM). IEEE.
Peer reviewed

GREVISSE, C., BOTEV, J., & ROTHKUGEL, S. (2017). Learning Resource Management through Semantic Annotation Features in Popular Authoring Software. In ICERI 2017 Proceedings. IATED.
Peer reviewed

GREVISSE, C., BOTEV, J., & ROTHKUGEL, S. (2017). An Extensible and Lightweight Modular Ontology for Programming Education. In Advances in Computing - 12th Colombian Conference, CCC 2017, Cali, Colombia, September 19-22, 2017, Proceedings (pp. 358-371). Springer. doi:10.1007/978-3-319-66562-7_26
Peer reviewed

GREVISSE, C., BOTEV, J., & ROTHKUGEL, S. (2017). Yactul: An Extensible Game-Based Student Response Framework for Active Learning. In Ponencias del XVIII Encuentro Internacional Virtual Educa, Colombia 2017.
Peer reviewed

GREVISSE, C., BOTEV, J., & ROTHKUGEL, S. (2017). Integration of Learning Material into an Advanced Project-Based Learning Support Platform. In INTED 2017 Proceedings.
Peer reviewed

GREVISSE, C. (2016). Adaptive Literacy-Aware Integration of Learning Material. In UMAP 2016 Extended Proceedings.
Peer reviewed

GREVISSE, C., & ROTHKUGEL, S. (2015). Tumaco: Collaboration of Mobile Devices in Hypermedia-based In-Vehicle Infotainment Systems. In Libro de Actas del XXI Congreso Argentino de Ciencias de la Computación (CACIC 2015) (pp. 10).
Peer reviewed

GREVISSE, C., MULLER, I. W., JIMENEZ LAREDO, J. L., OSTASZEWSKI, M., DANOY, G., & BOUVRY, P. (2014). Visualization and Classification of Protein Secondary Structures using Self-Organizing Maps. In IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2014).
Peer reviewed

KIRSCH, L., GREVISSE, C., BOTEV, J., & ROTHKUGEL, S. (2014). Reusable Functional Modules for the Support of Active Learning. In Proceedings of the World Conference on Educational Media, Hypermedia and Telecommunications (EdMedia).
Peer reviewed

Contact ORBilu