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Link Type
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Target audience
Digital skills for allDigital technology / specialisation
Artificial IntelligenceDigital skill level
IntermediateGeographic Scope - Country
European UnionIndustry - Field of Education and Training
Basic programmes and qualificationsTarget language
EnglishType of initiative
EU institutional initiative
Methodology (Long text)
Students explore the impact of generative AI by participating in a collaborative game. They start by watching a video introducing how large language models work, like chatbots or generative images. Then, students take on a persona of someone impacted by generative AI to read a few articles and react in-character.
Target group
Persons in tertiary education (EQF 6)Skills resource type
Self-Assessment Tool
Organization
Code.org
21st Century European Teachers: eBook July 8, 2024
The Right Way to AI June 12, 2024
Eurobarometer on Cyberskills June 3, 2024
Supplement to the DigCompEDU Framework May 14, 2024
Malta Digital Skills and Jobs Platform (LISP)
Overview
Students explore the impact of generative AI by participating in a collaborative game. They start by watching a video introducing how large language models work, like chatbots or generative images. Then, students take on a persona of someone impacted by generative AI to read a few articles and react in-character. Then, students form groups and are given a scenario involving their persona and generative AI. Working together, they come up with guidelines for how generative AI should be implemented in this scenario that includes the voices and perspectives of all stakeholders. Finally, students share their results with the class and reflect on this process. Read more
