Publications associées à The emergence of an educational tool industry: Opportunities and challenges for innovation in education

Publications associées (27)

Development and clinical validation of computational imaging biomarkers for neurodegenerative diseases

Neurodegenerative and neuroinflammatory disorders often involve complex pathophysiological mechanisms that are â to this date â only partially understood. A more comprehensive understanding of those microstructural processes and their characterization ...

EPFL2024

Assessing the readiness of municipalities for digital process innovation

Mert Duygan

Pre-adoption phases of innovation are understudied in the innovation literature. This article addresses preadoption phases of innovation by running a prospective analysis. We assess the readiness of municipalities for the adoption of a digital tool that br ...

ELSEVIER SCI LTD2023

Evaluation of teachers’ orchestration tools usage in robotic classrooms

Pierre Dillenbourg, Barbara Bruno, Aditi Kothiyal, Sina Shahmoradi

Teachers’ self-efficacy in managing classrooms is an important consideration when it comes to bringing educational robots to classrooms. Orchestration tools support teachers by providing awareness indicators of students’ progress as well as levers to contr ...

2023

Understanding Revision Behavior in Adaptive Writing Support Systems for Education

Tanja Christina Käser Jacober, Paola Mejia Domenzain, Thiemo Wambsganss, Luca Mouchel

Revision behavior in adaptive writing support systems is an important and relatively new area of research that can improve the design and effectiveness of these tools, and promote students' self-regulated learning (SRL). Understanding how these tools are u ...

Zenodo2023

Aligning the Design of Educational Robotics Tools With Classroom Activities

Francesco Mondada, Christian Giang, Alberto Piatti

This chapter addresses the alignment of educational robotics (ER) tools with classroom activities. To this end, it first introduces a conceptualization of ER activities describing the relevant cognitive artifacts and the learning theories underlying such a ...

IGI Global2021

A Modular Workflow for Model Building, Analysis, and Parameter Estimation in Systems Biology and Neuroscience

Daniel Keller

Neuroscience incorporates knowledge from a range of scales, from single molecules to brain wide neural networks. Modeling is a valuable tool in understanding processes at a single scale or the interactions between two adjacent scales and researchers use a ...

HUMANA PRESS INC2022

Automated Design: A Journey Across Modelling, Optimization, and Education

Cyril Picard

Machine intelligence greatly impacts almost all domains of our societies. It is profoundly changing the field of mechanical engineering with new technical possibilities and processes. The education of future engineers also needs to adapt in terms of techni ...

EPFL2021

FB-ECDA: Fragment-based Electronic Coupling Decomposition Analysis for Organic Amorphous Semiconductors

Anne-Clémence Corminboeuf, Kun-Han Lin

We present a fragment-based decomposition analysis tool (FB-ECDA) for the electronic coupling of charge transfer processes. This tool provides insight on the sophisticated relationship between molecular packing, electronic coupling, and the molecular trans ...

AMER CHEMICAL SOC2020

Towards the alignment of educational robotics learning systems with classroom activities

Christian Giang

The technological advances of the past years have impressively demonstrated that the digital age is no longer just a science fiction vision of the future - we are in the midst of it. The digital transformation is affecting many areas of our lives, includin ...

EPFL2020

Mass-zero constrained molecular dynamics for electrode charges in simulations of electrochemical systems

Sara Bonella, Alessandro Coretti

Classical molecular dynamics simulations have recently become a standard tool for the study of electrochemical systems. State-of-the-art approaches represent the electrodes as perfect conductors, modeling their responses to the charge distribution of elect ...

2020

Materials Cloud, a platform for open computational science

Marco Borelli, Berend Smit, Nicola Marzari, Giovanni Pizzi, Christoph Leopold Talirz, Fernando Gargiulo, Martin Uhrin, Aliaksandr Yakutovich, Sebastiaan Philippe Huber, Snehal Pramod Kumbhar, Casper Welzel Andersen, Valeria Granata, Spyros Zoupanos, Elsa Passaro

Materials Cloud is a platform designed to enable open and seamless sharing of resources for computational science, driven by applications in materials modelling. It hosts (1) archival and dissemination services for raw and curated data, together with their ...

2020

Fundamental Applications of Nanopores: Controlled DNA Translocations to Nanofluidics

Sebastian James Davis

Nanopores are nanometer sized openings that are the connection between two electrolyte filled reservoirs. The measurement of the ion transport flowing through such a pore allows to probe physically or biologically interesting phenomena. These range from th ...

EPFL2020

Impact of a learning analytics dashboard on the practice of students and teachers

Roland John Tormey, Patrick Jermann, Cécile Hardebolle, Francisco Pereira Correia Pinto

This paper reports results of the deployment of a learning analytics dashboard in the context of introductory Maths, Physics and Chemistry courses in the first year of the Engineering bachelor of a Swiss technical university. Informed by research on self r ...

2019

Using Educational Data From Teaching And Learning To Inform Teachers’ Reflective Educational Design In Inquiry-Based STEM Education

Denis Gillet, Maria Jesus Rodriguez Triana

Science, Technology, Engineering and Mathematics (STEM) education is recognized as a top priority for school education worldwide and Inquiry-based teaching and learning is identified as one of the most dominant approaches. To effectively engage individual ...

2019

Increasing reuse in learning objects authoring: a case study with the Cacuria tool

Roberto Gerson De Albuquerque Azevedo

Artifacts and best practices reuse as a way of improving educational resources and easing and speeding up the authoring process have been an important theme since the earliest research efforts on Learning Objects (LOs). In such a context, authoring tools t ...

ASSOC COMPUTING MACHINERY2019

New Tools for MOOC/MOOL to Sustain Continuity of Experimentation in Control

Denis Gillet, Christophe Salzmann, Yves Henri Philippe Piguet

The use of interactive tools combined with remote laboratories has shown to be very useful for students when offered in a MOOC. The EPFL hands-on Control MOOC enables students to switch back and forth between control and observation on a remote laboratory, ...

Elsevier2019

Stochastic Gradient Descent for Spectral Embedding with Implicit Orthogonality Constraint

Pascal Frossard, Mireille El Gheche

In this paper, we propose a scalable algorithm for spectral embedding. The latter is a standard tool for graph clustering. However, its computational bottleneck is the eigendecomposition of the graph Laplacian matrix, which prevents its application to larg ...

IEEE2019

Robot swarms as an educational tool: The Thymio’s way

Francesco Mondada

Robotics provides useful tools for educational purposes, allowing to engage students in learning within disparate domains, from computer science and artificial intelligence – traditionally the main domains for educational robotics – to general education, h ...

2019

Risk assessment in a chemical plant with a CPN-HAZOP Tool

Damiano Nunzio Arena

In a previous research, a tool integrating the HAZOP analysis method and Coloured Petri Net formalism to support the analysis carried out by specialists during a HAZOP brainstorming session has been provided. In that work, the tool was used to simulate the ...

ELSEVIER SCIENCE BV2018

Adaptive predictors based on probabilistic SVM for real time disruption mitigation on JET

Olivier Sauter, Martinus Adela Maria Gijs, Jonathan Graves, Ambrogio Fasoli, Stefano Coda, Basil Duval, Henri Weisen, Richard Pitts, Yves Martin, Javier García Hernández, Duccio Testa, Miguel Fernández Ruiz, Nicola Vianello, Robin Humphry-Baker, Sun Hee Kim, Federico Nespoli, Patrick Blanchard, Alessandro Pau, David Pfefferlé, Davide Galassi, Jonathan Marc Philippe Faustin, Cristian Sommariva, Hamish William Patten, Samuel Lanthaler, Jan Horacek, Yann Camenen, Bruno Emanuel Ferreira De Sousa Correia, José Pedro Rebelo Ferreira Marques, Mikhail Maslov, Marco Wischmeier, Dalziel Joseph Wilson, Liang Yao, Daniel Scott Alessi, Arnout Lodewijk M Beckers, Ana Francisca Leal Silva Soares, Jonnathan Cesar Hidalgo Acosta, Antonio José Pereira de Figueiredo, Partha Dutta, Pierre-Thomas Paul Brun, Pedro Camilo de Oliveira e Silva, Alberto Hernando de Castro, Julio Rodriguez, Vlad Trifa, Li Shuai, Rebecca Hill

Detecting disruptions with sufficient anticipation time is essential to undertake any form of remedial strategy, mitigation or avoidance. Traditional predictors based on machine learning techniques can be very performing, if properly optimised, but do not ...

IOP Publishing Ltd2018