Publications associées à Value (computer science)

A Research-Practice Partnership to Introduce Computer Science in Secondary School: Lessons from a Pilot Program

Francesco Mondada, Helena Kovacs, Jean-Philippe Pellet, Jessica Elke Dehler Zufferey, Barbara Bruno, Laila Abdelsalam El-Hamamsy

Context: Introducing Computer Science (CS) into formal education can be challenging, notably when considering the numerous stakeholders involved which include the students, teachers, schools, and policy makers. We believe these perspectives should be con ...

2023

Exploring a Handwriting Programming Language for Educational Robots

Francesco Mondada, Taavet Kangur, Barbara Bruno, Laila Abdelsalam El-Hamamsy, Christian Giang, Vaios Papaspyros, Laura Mathex

Recently, introducing computer science and educational robots in compulsory education has received increasing attention. However, the use of screens in classrooms is often met with resistance, especially in primary school. To address this issue, this study ...

Springer, Cham2021

Augmenting simulations with measurements: Application to building-scale wind-flow modeling

Ian Smith, Didier Vernay

This paper focuses on urban environmental system identification. Wind-flow modeling is a challenging task because of simplifications of complex processes as well as geometry simplifications. Even a more detailed model may not be accurate because of uncerta ...

Institute of Electrical and Electronics Engineers ( IEEE )2013

NineML: the network interchange for neuroscience modeling language

Sean Lewis Hill, Eilif Benjamin Muller, Michael Lee Hines

The growing number of large-scale neuronal network models has created a need for standards and guidelines to ease model sharing and facilitate the replication of results across different simulators. To foster community efforts towards such standards, the I ...

2011

HESS Opinions: Hydrologic predictions in a changing environment: behavioral modeling

Bettina Schaefli

Most hydrological models are valid at most only in a few places and cannot be reasonably transferred to other places or to far distant time periods. Transfer in space is difficult because the models are conditioned on past observations at particular places ...

2011