Jean-Philippe Pellet

Orcid: 0000-0001-7559-397X

According to our database1, Jean-Philippe Pellet authored at least 17 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
A Research-Practice Partnership to Introduce Computer Science in Secondary School: Lessons from a Pilot Program.
ACM Trans. Comput. Educ., June, 2023

2022
The role of feedback and guidance as intervention methods to foster computational thinking in educational robotics learning activities for primary school.
Comput. Educ., 2022

Design and Analysis of a Disciplinary Computer Science Course for Pre-service Primary Teachers.
Proceedings of the Informatics in Schools. A Step Beyond Digital Education, 2022

2021
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., 2021

2020
A Markdown-based Open Toolchain for Writing, Processing, and Publishing Bebras Tasks (short paper).
Proceedings of the International Conference on Informatics in School: Situation, 2020

2018
A Case Study on the Effect of Using an Anchored-Discussion Forum in a Programming Course.
Proceedings of the Informatics in Schools. Fundamentals of Computer Science and Software Engineering, 2018

2016
Computer Science in the Eyes of Its Teachers in French-Speaking Switzerland.
Proceedings of the Informatics in Schools: Improvement of Informatics Knowledge and Perception, 2016

2014
Automatic extraction of formal features from Word, Excel, and PowerPoint productions in a diagnostic-assessment perspective.
Proceedings of the 2014 International Conference on Education Technologies and Computers, 2014

2011
Predicting Graduate-level Performance from Undergraduate Achievements.
Proceedings of the 4th International Conference on Educational Data Mining, 2011

2010
Effective Causal Analysis: Methods for Structure Learning and Explanations.
PhD thesis, 2010

Causal networks for risk and compliance: Methodology and application.
IBM J. Res. Dev., 2010

Development Projects for the CausalityWorkbench.
Proceedings of the Artificial Intelligence for Development, 2010

2008
Using Markov Blankets for Causal Structure Learning.
J. Mach. Learn. Res., 2008

Design and Analysis of the Causation and Prediction Challenge.
Proceedings of the Causation and Prediction Challenge at WCCI 2008, 2008

Explanation Trees for Causal Bayesian Networks.
Proceedings of the UAI 2008, 2008

Finding Latent Causes in Causal Networks: an Efficient Approach Based on Markov Blankets.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007
A Partial Correlation-Based Algorithm for Causal Structure Discovery with Continuous Variables.
Proceedings of the Advances in Intelligent Data Analysis VII, 2007


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