A Glimpse Into Primary and Secondary Teachers' Knowledge to Teach Informatics - Gabriel Parriaux; Jean-Philippe Pellet; Vassilis Komis (Informatics in Schools. Innovative Approaches to Computer Science Teaching and Learning - 17th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives, ISSEP 2024, Budapest, Hungary, October 28-30, 2024, Proceedings, 2024)

Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants - 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; et al. (CoRR, 2024)

A Research-Practice Partnership to Introduce Computer Science in Secondary School: Lessons from a Pilot Program - Laila El Hamamsy; Jean-Philippe Pellet; Matthew Roberts; Helena Kovacs; Barbara Bruno; Jessica Dehler-Zufferey; Francesco Mondada (ACM Trans. Comput. Educ., 2023)

16th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives, ISSEP 2023, Local Proceedings - 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, 2023)

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 - Jean-Philippe Pellet; Gabriel Parriaux (Springer, 2023)

16th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives, ISSEP 2023, Local Proceedings, ISSEP 2023, Lausanne, Switzerland, October 23-25, 2023 - Jean-Philippe Pellet; Gabriel Parriaux (Zenodo, 2023)

The role of feedback and guidance as intervention methods to foster computational thinking in educational robotics learning activities for primary school - Morgane Chevalier; Christian Giang; Laila El Hamamsy; Evgeniia Bonnet; Vaios Papaspyros; Jean-Philippe Pellet; Catherine Audrin; Margarida Romero; Bernard Baumberger; Francesco Mondada (Comput. Educ., 2022)

Design and Analysis of a Disciplinary Computer Science Course for Pre-service Primary Teachers - Jean-Philippe Pellet; Gabriel Parriaux; Morgane Chevalier (Informatics in Schools. A Step Beyond Digital Education - 15th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives, ISSEP 2022, Vienna, Austria, September 26-28, 2022, Proceedings, 2022)

A computer science and robotics integration model for primary school: evaluation of a large-scale in-service K-4 teacher-training program - 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 (Educ. Inf. Technol., 2021)

A Markdown-based Open Toolchain for Writing, Processing, and Publishing Bebras Tasks (short paper) - Jean-Philippe Pellet; Gabriel Parriaux; Nora Anna Escherle (Proceedings of the International Conference on Informatics in School: Situation, Evaluation and Perspectives, Tallinn, Estonia, November 16-18, 2020, 2020)

A Case Study on the Effect of Using an Anchored-Discussion Forum in a Programming Course - Jean-Philippe Pellet; Gabriel Parriaux; Tristan Overney (Informatics in Schools. Fundamentals of Computer Science and Software Engineering - 11th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives, ISSEP 2018, St. Petersburg, Russia, October 10-12, 2018, Proceedings, 2018)

Computer Science in the Eyes of Its Teachers in French-Speaking Switzerland - Gabriel Parriaux; Jean-Philippe Pellet (Informatics in Schools: Improvement of Informatics Knowledge and Perception - 9th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives, ISSEP 2016, Münster, Germany, October 13-15, 2016, Proceedings, 2016)

Automatic extraction of formal features from Word, Excel, and PowerPoint productions in a diagnostic-assessment perspective - Jean-Philippe Pellet; Morgane Chevalier (2014 International Conference on Education Technologies and Computers, ICETC 2014, Lodz, Poland, September 22-24, 2014, 2014)

Explanation Trees for Causal Bayesian Networks - Ulf H. Nielsen; Jean-Philippe Pellet; André Elisseeff (CoRR, 2012)

Predicting Graduate-level Performance from Undergraduate Achievements - Judith Zimmermann; Kay Henning Brodersen; Jean-Philippe Pellet; Elias August; Joachim M. Buhmann (Proceedings of the 4th International Conference on Educational Data Mining, Eindhoven, The Netherlands, July 6-8, 2011, 2011)

Effective Causal Analysis: Methods for Structure Learning and Explanations - Jean-Philippe Pellet (ETH Zurich, Zürich, Switzerland, 2010)

Causal networks for risk and compliance: Methodology and application - André Elisseeff; Jean-Philippe Pellet; Eleni Pratsini (IBM J. Res. Dev., 2010)

Development Projects for the CausalityWorkbench - Isabelle Guyon; Jean-Philippe Pellet; Alexander R. Statnikov (Artificial Intelligence for Development, Papers from the 2010 AAAI Spring Symposium, Technical Report SS-10-01, Stanford, California, USA, March 22-24, 2010, 2010)

Using Markov Blankets for Causal Structure Learning - Jean-Philippe Pellet; André Elisseeff (J. Mach. Learn. Res., 2008)

Finding Latent Causes in Causal Networks: an Efficient Approach Based on Markov Blankets - Jean-Philippe Pellet; André Elisseeff (Advances in Neural Information Processing Systems 21, Proceedings of the Twenty-Second Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 8-11, 2008, 2008)

Explanation Trees for Causal Bayesian Networks - Ulf H. Nielsen; Jean-Philippe Pellet; André Elisseeff (UAI 2008, Proceedings of the 24th Conference in Uncertainty in Artificial Intelligence, Helsinki, Finland, July 9-12, 2008, 2008)

Design and Analysis of the Causation and Prediction Challenge - 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, 2008)

Causation and Prediction Challenge at WCCI 2008, Hong Kong, June 1-6, 2008 - Isabelle Guyon; Constantin F. Aliferis; Gregory F. Cooper; André Elisseeff; Jean-Philippe Pellet; Peter Spirtes; Alexander R. Statnikov (JMLR.org, 2008)

A Partial Correlation-Based Algorithm for Causal Structure Discovery with Continuous Variables - Jean-Philippe Pellet; André Elisseeff (Advances in Intelligent Data Analysis VII, 7th International Symposium on Intelligent Data Analysis, IDA 2007, Ljubljana, Slovenia, September 6-8, 2007, Proceedings, 2007)