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Responsible AI skills for education

Current research indicates that the role of generative AI in education is a double-edged sword: on one hand it can assist teachers for designing effective learning tasks and resources, on the other hand it can have negative effects on student learning and raises a range of ethical questions.In our new workshop series “Responsible AI skills for education” we will try to navigate these questions by focusing on specific teaching and learning activities and identifying practical skills…

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Cours materials

Course materials help students to consolidate video content, take notes, summarise key points and find specific information quickly. They are a valuable resource for revising and retaining learning content. More info

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Using Kaltura Capture

This video is a test video mixing ChatGPT for the generation of texts and an avatar of Synthesia for the presentation of the content. https://go.epfl.ch/QUICKSTART_Kaltura The CEDE is at your disposal to help you with your recordings (for real!).

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Lecture 2 | Part 3 , PCA - Derivation 1 of 3

duration 15 minutes 35 seconds

Lecture 2 | Part 3 , PCA - Derivation

Lecture 2 | Part 3 , PCA - Derivation

Lecture 2 | Part 3 , PCA - Derivation

Lecture 2 | Part 3 , PCA - Derivation

From Aude Billard

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Lecture 4 | Part 4, Probabilistic Interpr. of… 2 of 3

duration 19 minutes 14 seconds

Lecture 4 | Part 4, Probabilistic Interpr. of…

Lecture 4 | Part 4, Probabilistic Interpr. of K-Means & GMM

Lecture 4 | Part 4, Probabilistic Interpr. of…

Lecture 4 | Part 4, Probabilistic Interpr. of K-Means &…

From Aude Billard

1 likes 1,306 plays 0
Lecture 4 | Part 3, Fitting and clustering data… 3 of 3

duration 17 minutes 49 seconds

Lecture 4 | Part 3, Fitting and clustering data…

Lecture 4 | Part 3, Fitting and clustering data with Mixture of Gauss Functions

Lecture 4 | Part 3, Fitting and clustering data…

Lecture 4 | Part 3, Fitting and clustering data with…

From Aude Billard

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MATH-101(c) Analyse I | Mercredi | Automne 2026 101 of 3

duration 1 hour 54 minutes

MATH-101(c) Analyse I | Mercredi | Automne 2026

MATH-101(c) Analyse I | Mercredi | Automne 2026

MATH-101(c) Analyse I | Mercredi | Automne 2026

MATH-101(c) Analyse I | Mercredi | Automne 2026

From Sacha Friedli

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PHYS-201(a) Physique générale :… 102 of 3

duration 1 hour 54 minutes

PHYS-201(a) Physique générale :…

PHYS-201(a) Physique générale : électromagnétisme | Mercredi | Automne 2026

PHYS-201(a) Physique générale :…

PHYS-201(a) Physique générale :…

From Joaquim Loizu

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CS-433 Machine learning | Week 2 Part 1 103 of 3

duration 1 hour 30 minutes

CS-433 Machine learning | Week 2 Part 1

CS-433 Machine learning | Week 2 Part 1

CS-433 Machine learning | Week 2 Part 1

CS-433 Machine learning | Week 2 Part 1

Oprimization

From Nicolas Flammarion

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Responsible AI skills for education

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