Computational Thinking Assessment

The goal of this initiative is to build a test to gauge computational thinking skills in a valid and reliable fashion. We are building, testing and validating a test that can be taken by anyone regardless of their previous knowledge or expertise in computer science.

This initiative builds a new assessment tool to measure computational thinking (CT) among science and engineering students.

Why is this needed?

First, the pervasiveness of digital tools and the use of computational methods is essential in contemporary sciences and engineering, which turns CT into a vital set of skills for current scientists and engineers. Thus, CT becomes a pillar of scientific and engineering education alongside other foundations traditionally considered as mathematics and physics.

Second, in accordance with the current relevance assigned to CT, EPFL has adopted CT as a subject for first-year students in an attempt to promote a transferable base in solving problems computationally. EPFL is offering an introductory course on CT and it intends to further implement courses for all degree programs, from Bachelor’s to Masters’ through to PhD. Therefore, we seek to advance our evidence-based understanding of how to best teach and learn CT such that teaching practice can be informed. Measuring learners’ CT in a reliable and valid fashion is necessary as it will help to identify effective methods.

Third, the tools built up to date to evaluate CT skills are, to the best of our knowledge, not sufficient for our intended use: they are scarce, have multiple shortcomings for evaluating CT skills in higher education, and are not validated for populations of engineering and science students.

Contact(s):
Jessica Dehler Zufferey - jessica.dehlerzufferey@epfl.ch
Website:
Want to find out more?

Computational Thinking Assessment

The goal of this initiative is to build a test to gauge computational thinking skills in a valid and reliable fashion. We are building, testing and validating a test that can be taken by anyone regardless of their previous knowledge or expertise in computer science.

This initiative builds a new assessment tool to measure computational thinking (CT) among science and engineering students.

Why is this needed?

First, the pervasiveness of digital tools and the use of computational methods is essential in contemporary sciences and engineering, which turns CT into a vital set of skills for current scientists and engineers. Thus, CT becomes a pillar of scientific and engineering education alongside other foundations traditionally considered as mathematics and physics.

Second, in accordance with the current relevance assigned to CT, EPFL has adopted CT as a subject for first-year students in an attempt to promote a transferable base in solving problems computationally. EPFL is offering an introductory course on CT and it intends to further implement courses for all degree programs, from Bachelor’s to Masters’ through to PhD. Therefore, we seek to advance our evidence-based understanding of how to best teach and learn CT such that teaching practice can be informed. Measuring learners’ CT in a reliable and valid fashion is necessary as it will help to identify effective methods.

Third, the tools built up to date to evaluate CT skills are, to the best of our knowledge, not sufficient for our intended use: they are scarce, have multiple shortcomings for evaluating CT skills in higher education, and are not validated for populations of engineering and science students.

Contact(s):
Jessica Dehler Zufferey - jessica.dehlerzufferey@epfl.ch
Website:
Want to find out more?

Évaluation de la pensée computationnelle

L’objectif de cette initiative est de créer un test pour évaluer les compétences de pensée computationnelle de manière valide et fiable. Nous construisons, testons et validons un test qui peut être passé par n’importe qui, quelles que soient ses connaissances ou son expertise antérieures en informatique.

Cette initiative crée un nouvel outil d’évaluation pour mesurer la pensée computationnelle (PC) chez les étudiant.e.s en sciences et en ingénierie.

Pourquoi est-ce nécessaire ?

Premièrement, l’omniprésence des outils numériques et l’utilisation de méthodes computationnelles sont essentielles dans les sciences et l’ingénierie contemporaines, ce qui fait de la PC un ensemble de compétences vital pour les scientifiques et les ingénieur.e.s actuels.

Ainsi, la PC devient un pilier de l’enseignement scientifique et technique aux côtés d’autres fondements plus traditionnellement considérés, comme les mathématiques et la physique.

Deuxièmement, conformément à la pertinence actuelle attribuée à la PC, l’EPFL l’a adoptée comme matière pour les étudiant.e.s de première année dans le but de promouvoir une base transférable dans la résolution de problèmes computationnels.

L’EPFL propose un cours d’introduction à la PC et entend poursuivre la mise en œuvre de cours pour tous les programmes diplômants, du Bachelor au Master en passant par le Doctorat.

Par conséquent, nous cherchons à faire progresser notre compréhension fondée sur des preuves de la meilleure façon d’enseigner et d’apprendre la PC de sorte que la pratique de l’enseignement puisse être informée. Mesurer la pc des apprenant.e.s de manière fiable et valide est nécessaire pour identifier des méthodes efficaces.

Troisièmement, les outils construits à ce jour pour évaluer les compétences en PC sont, à notre connaissance, insuffisants pour l’usage auquel nous sommes destinés : ils sont rares, présentent de multiples lacunes pour évaluer les compétences en PC dans l’enseignement supérieur et ne sont pas validés pour les populations d’ étudiant.e.s en ingénierie et en sciences.

Une session de notre webinaire lunch&LEARN dédiée à cette initiative été diffusée, retrouvez-la ci-dessous:

Want to find out more?

Computational Thinking Assessment

The goal of this initiative is to build a test to gauge computational thinking skills in a valid and reliable fashion. We are building, testing and validating a test that can be taken by anyone regardless of their previous knowledge or expertise in computer science.

This initiative builds a new assessment tool to measure computational thinking (CT) among science and engineering students.

Why is this needed?

First, the pervasiveness of digital tools and the use of computational methods is essential in contemporary sciences and engineering, which turns CT into a vital set of skills for current scientists and engineers. Thus, CT becomes a pillar of scientific and engineering education alongside other foundations traditionally considered as mathematics and physics.

Second, in accordance with the current relevance assigned to CT, EPFL has adopted CT as a subject for first-year students in an attempt to promote a transferable base in solving problems computationally. EPFL is offering an introductory course on CT and it intends to further implement courses for all degree programs, from Bachelor’s to Masters’ through to PhD. Therefore, we seek to advance our evidence-based understanding of how to best teach and learn CT such that teaching practice can be informed. Measuring learners’ CT in a reliable and valid fashion is necessary as it will help to identify effective methods.

Third, the tools built up to date to evaluate CT skills are, to the best of our knowledge, not sufficient for our intended use: they are scarce, have multiple shortcomings for evaluating CT skills in higher education, and are not validated for populations of engineering and science students.

Contact(s):
Jessica Dehler Zufferey - jessica.dehlerzufferey@epfl.ch
Website:
Want to find out more?