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ORCIDJean-Philippe Pellet
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2020 – today
- 2024
[c13]Gabriel Parriaux
, Jean-Philippe Pellet, Vassilis Komis:
A Glimpse Into Primary and Secondary Teachers' Knowledge to Teach Informatics. ISSEP 2024: 125-138- [i2]Beatriz Borges, Negar Foroutan, Deniz Bayazit, Anna Sotnikova, Syrielle Montariol, Tanya Nazaretzky, Mohammadreza Banaei, Alireza Sakhaeirad, Philippe Servant, Seyed Parsa Neshaei, Jibril Frej, Angelika Romanou, Gail Weiss, Sepideh Mamooler, Zeming Chen, Simin Fan, Silin Gao, Mete Ismayilzada, Debjit Paul, Alexandre Schöpfer, Andrej Janchevski, Anja Tiede, Clarence Linden, Emanuele Troiani, Francesco Salvi, Freya Behrens, Giacomo Orsi, Giovanni Piccioli, Hadrien Sevel, Louis Coulon, Manuela Pineros-Rodriguez, Marin Bonnassies, Pierre Hellich, Puck van Gerwen, Sankalp Gambhir, Solal Pirelli, Thomas Blanchard, Timothée Callens, Toni Abi Aoun, Yannick Calvino Alonso, Yuri Cho, Alberto Silvio Chiappa, Antonio Sclocchi, Étienne Bruno, Florian Hofhammer, Gabriel Pescia, Geovani Rizk, Leello Dadi, Lucas Stoffl, Manoel Horta Ribeiro, Matthieu Bovel, Yueyang Pan, Aleksandra Radenovic, Alexandre Alahi, Alexander Mathis, Anne-Florence Bitbol, Boi Faltings, Cécile Hébert, Devis Tuia, François Maréchal, George Candea, Giuseppe Carleo, Jean-Cédric Chappelier, Nicolas Flammarion, Jean-Marie Fürbringer, Jean-Philippe Pellet, Karl Aberer, Lenka Zdeborová, Marcel Salathé, Martin Jaggi, Martin Rajman, Mathias Payer, Matthieu Wyart, Michael Gastpar, Michele Ceriotti, Ola Svensson, Olivier Lévêque, Paolo Ienne, Rachid Guerraoui, Robert West, Sanidhya Kashyap, Valerio Piazza, Viesturs Simanis, Viktor Kuncak, Volkan Cevher, Philippe Schwaller, Sacha Friedli, Patrick Jermann, Tanja Käser, Antoine Bosselut:
Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants. CoRR abs/2408.11841 (2024) - 2023
- [j5]Laila El Hamamsy, Jean-Philippe Pellet, Matthew Roberts, Helena Kovacs, Barbara Bruno, Jessica Dehler-Zufferey, Francesco Mondada:
A Research-Practice Partnership to Introduce Computer Science in Secondary School: Lessons from a Pilot Program. ACM Trans. Comput. Educ. 23(2): 27:1-27:31 (2023) - [c12]Jean-Philippe Pellet, Gabriel Parriaux:
16th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives, ISSEP 2023, Local Proceedings. ISSEP (Local Proceedings) 2023 - [e3]Jean-Philippe Pellet, Gabriel Parriaux:
Informatics in Schools. Beyond Bits and Bytes: Nurturing Informatics Intelligence in Education - 16th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives, ISSEP 2023, Lausanne, Switzerland, October 23-25, 2023, Proceedings. Lecture Notes in Computer Science 14296, Springer 2023, ISBN 978-3-031-44899-7 [contents] - [e2]Jean-Philippe Pellet, Gabriel Parriaux:
16th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives, ISSEP 2023, Local Proceedings, ISSEP 2023, Lausanne, Switzerland, October 23-25, 2023. Zenodo 2023 [contents] - 2022
- [j4]Morgane Chevalier, Christian Giang, Laila El Hamamsy, Evgeniia Bonnet, Vaios Papaspyros, Jean-Philippe Pellet, Catherine Audrin, Margarida Romero, Bernard Baumberger, Francesco Mondada:
The role of feedback and guidance as intervention methods to foster computational thinking in educational robotics learning activities for primary school. Comput. Educ. 180: 104431 (2022) - [c11]Jean-Philippe Pellet, Gabriel Parriaux, Morgane Chevalier:
Design and Analysis of a Disciplinary Computer Science Course for Pre-service Primary Teachers. ISSEP 2022: 125-137 - 2021
- [j3]Laila El Hamamsy, Frédérique Chessel-Lazzarotto, Barbara Bruno, Didier Roy, Tereza Cahlikova, Morgane Chevalier, Gabriel Parriaux, Jean-Philippe Pellet, Jacques Lanarès, Jessica Dehler-Zufferey, Francesco Mondada:
A computer science and robotics integration model for primary school: evaluation of a large-scale in-service K-4 teacher-training program. Educ. Inf. Technol. 26(3): 2445-2475 (2021) - 2020
- [c10]Jean-Philippe Pellet, Gabriel Parriaux, Nora Anna Escherle:
A Markdown-based Open Toolchain for Writing, Processing, and Publishing Bebras Tasks (short paper). ISSEP (CEURWS Volume) 2020: 27-30
2010 – 2019
- 2018
- [c9]Jean-Philippe Pellet, Gabriel Parriaux, Tristan Overney:
A Case Study on the Effect of Using an Anchored-Discussion Forum in a Programming Course. ISSEP 2018: 42-54 - 2016
- [c8]Gabriel Parriaux, Jean-Philippe Pellet:
Computer Science in the Eyes of Its Teachers in French-Speaking Switzerland. ISSEP 2016: 179-190 - 2014
- [c7]Jean-Philippe Pellet, Morgane Chevalier:
Automatic extraction of formal features from Word, Excel, and PowerPoint productions in a diagnostic-assessment perspective. ICETC 2014: 1-6 - 2012
- [i1]Ulf H. Nielsen, Jean-Philippe Pellet, André Elisseeff:
Explanation Trees for Causal Bayesian Networks. CoRR abs/1206.3276 (2012) - 2011
- [c6]Judith Zimmermann, Kay Henning Brodersen, Jean-Philippe Pellet, Elias August, Joachim M. Buhmann:
Predicting Graduate-level Performance from Undergraduate Achievements. EDM 2011: 357-358 - 2010
- [b1]Jean-Philippe Pellet:
Effective Causal Analysis: Methods for Structure Learning and Explanations. ETH Zurich, Zürich, Switzerland, 2010 - [j2]André Elisseeff, Jean-Philippe Pellet, Eleni Pratsini:
Causal networks for risk and compliance: Methodology and application. IBM J. Res. Dev. 54(3): 6 (2010) - [c5]Isabelle Guyon, Jean-Philippe Pellet, Alexander R. Statnikov:
Development Projects for the CausalityWorkbench. AAAI Spring Symposium: Artificial Intelligence for Development 2010
2000 – 2009
- 2008
- [j1]Jean-Philippe Pellet, André Elisseeff:
Using Markov Blankets for Causal Structure Learning. J. Mach. Learn. Res. 9: 1295-1342 (2008) - [c4]Jean-Philippe Pellet, André Elisseeff:
Finding Latent Causes in Causal Networks: an Efficient Approach Based on Markov Blankets. NIPS 2008: 1249-1256 - [c3]Ulf H. Nielsen, Jean-Philippe Pellet, André Elisseeff:
Explanation Trees for Causal Bayesian Networks. UAI 2008: 427-434 - [c2]Isabelle Guyon, Constantin F. Aliferis, Gregory F. Cooper, André Elisseeff, Jean-Philippe Pellet, Peter Spirtes, Alexander R. Statnikov:
Design and Analysis of the Causation and Prediction Challenge. WCCI Causation and Prediction Challenge 2008: 1-33 - [e1]Isabelle Guyon, Constantin F. Aliferis, Gregory F. Cooper, André Elisseeff, Jean-Philippe Pellet, Peter Spirtes, Alexander R. Statnikov:
Causation and Prediction Challenge at WCCI 2008, Hong Kong, June 1-6, 2008. JMLR Proceedings 3, JMLR.org 2008 [contents] - 2007
- [c1]Jean-Philippe Pellet, André Elisseeff:
A Partial Correlation-Based Algorithm for Causal Structure Discovery with Continuous Variables. IDA 2007: 229-239
Coauthor Index
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