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DTSTART;TZID=Europe/Madrid:20220421T080000
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CREATED:20220715T095433Z
LAST-MODIFIED:20220715T112036Z
UID:1302-1650528000-1650646800@eugreenalliance.eu
SUMMARY:UEx at UNIPR
DESCRIPTION:AI tools are already in our classrooms — often before we have decided what we want them to do there. This Masterclass gives teaching staff a working command of generative AI in higher education\, built around three questions: which tools\, which strategies\, and what do we conclude? Participants first build a functional mental model of how large language models actually behave\, then examine where that behaviour helps or harms specific teaching tasks — preparation\, in-class work\, assessment and administration. Live demonstrations show what the technology does and does not do\, and where its failure modes appear. The session closes with some legal and institutional framing (EU AI Act\, data protection) and a structured reflection in which each participant defines one concrete change to their own teaching. By the end of the session\, participants will be able to:– describe how generative AI systems produce output\, and use that understanding to predict where they fail;– identify and name recurring failure modes in AI-supported teaching work;– match AI tools to specific teaching tasks using a four-level framework\, from single prompts to structured workflows;– locate their own practice within the UNESCO AI Competency Framework for Teachers (2024);– formulate one specific\, implementable commitment for their own teaching. The session is open to teaching staff across all disciplines and requires no prior technical knowledge. All materials are released as Open Educational Resources under CC BY 4.0. 								\n				\n		\n				\n				\n					REGISTER HERE				\n				\n				\n				\n					JOIN THE ROOM
URL:https://eugreenalliance.eu/event/uex-at-unipr/
LOCATION:Università degli studi di Parma\, Parma\, Italy
ATTACH;FMTTYPE=image/jpeg:https://eugreenalliance.eu/wp-content/uploads/2022/07/parma-copy.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Madrid:20220309T080000
DTEND;TZID=Europe/Madrid:20220311T170000
DTSTAMP:20261027T212607
CREATED:20220715T095140Z
LAST-MODIFIED:20220715T112503Z
UID:1299-1646812800-1647018000@eugreenalliance.eu
SUMMARY:Brussels event
DESCRIPTION:AI tools are already in our classrooms — often before we have decided what we want them to do there. This Masterclass gives teaching staff a working command of generative AI in higher education\, built around three questions: which tools\, which strategies\, and what do we conclude? Participants first build a functional mental model of how large language models actually behave\, then examine where that behaviour helps or harms specific teaching tasks — preparation\, in-class work\, assessment and administration. Live demonstrations show what the technology does and does not do\, and where its failure modes appear. The session closes with some legal and institutional framing (EU AI Act\, data protection) and a structured reflection in which each participant defines one concrete change to their own teaching. By the end of the session\, participants will be able to:– describe how generative AI systems produce output\, and use that understanding to predict where they fail;– identify and name recurring failure modes in AI-supported teaching work;– match AI tools to specific teaching tasks using a four-level framework\, from single prompts to structured workflows;– locate their own practice within the UNESCO AI Competency Framework for Teachers (2024);– formulate one specific\, implementable commitment for their own teaching. The session is open to teaching staff across all disciplines and requires no prior technical knowledge. All materials are released as Open Educational Resources under CC BY 4.0. 								\n				\n		\n				\n				\n					REGISTER HERE				\n				\n				\n				\n					JOIN THE ROOM
URL:https://eugreenalliance.eu/event/brussels-event/
LOCATION:Brussels\, Regional Office of Extremadura in Brussels\, Brussels\, Brussels\, Belgium
ATTACH;FMTTYPE=image/jpeg:https://eugreenalliance.eu/wp-content/uploads/2022/07/parlamento-europeo.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Madrid:20211209T080000
DTEND;TZID=Europe/Madrid:20211210T170000
DTSTAMP:20261027T212607
CREATED:20220715T094605Z
LAST-MODIFIED:20220715T111936Z
UID:1296-1639036800-1639155600@eugreenalliance.eu
SUMMARY:EU GREEN Virtual Meeting | Badajoz (Spain) event
DESCRIPTION:AI tools are already in our classrooms — often before we have decided what we want them to do there. This Masterclass gives teaching staff a working command of generative AI in higher education\, built around three questions: which tools\, which strategies\, and what do we conclude? Participants first build a functional mental model of how large language models actually behave\, then examine where that behaviour helps or harms specific teaching tasks — preparation\, in-class work\, assessment and administration. Live demonstrations show what the technology does and does not do\, and where its failure modes appear. The session closes with some legal and institutional framing (EU AI Act\, data protection) and a structured reflection in which each participant defines one concrete change to their own teaching. By the end of the session\, participants will be able to:– describe how generative AI systems produce output\, and use that understanding to predict where they fail;– identify and name recurring failure modes in AI-supported teaching work;– match AI tools to specific teaching tasks using a four-level framework\, from single prompts to structured workflows;– locate their own practice within the UNESCO AI Competency Framework for Teachers (2024);– formulate one specific\, implementable commitment for their own teaching. The session is open to teaching staff across all disciplines and requires no prior technical knowledge. All materials are released as Open Educational Resources under CC BY 4.0. 								\n				\n		\n				\n				\n					REGISTER HERE				\n				\n				\n				\n					JOIN THE ROOM
URL:https://eugreenalliance.eu/event/eu-green-virtual-meeting-badajoz-spain-event/
LOCATION:Universidad de Extremadura\, Campus Badajoz\, Badajoz\, Spain
ATTACH;FMTTYPE=image/jpeg:https://eugreenalliance.eu/wp-content/uploads/2022/07/meetning-copy.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/Madrid:20210922T080000
DTEND;TZID=Europe/Madrid:20210924T170000
DTSTAMP:20261027T212607
CREATED:20220715T094043Z
LAST-MODIFIED:20220715T111844Z
UID:1293-1632297600-1632502800@eugreenalliance.eu
SUMMARY:Angers event | Signature of the MoU
DESCRIPTION:AI tools are already in our classrooms — often before we have decided what we want them to do there. This Masterclass gives teaching staff a working command of generative AI in higher education\, built around three questions: which tools\, which strategies\, and what do we conclude? Participants first build a functional mental model of how large language models actually behave\, then examine where that behaviour helps or harms specific teaching tasks — preparation\, in-class work\, assessment and administration. Live demonstrations show what the technology does and does not do\, and where its failure modes appear. The session closes with some legal and institutional framing (EU AI Act\, data protection) and a structured reflection in which each participant defines one concrete change to their own teaching. By the end of the session\, participants will be able to:– describe how generative AI systems produce output\, and use that understanding to predict where they fail;– identify and name recurring failure modes in AI-supported teaching work;– match AI tools to specific teaching tasks using a four-level framework\, from single prompts to structured workflows;– locate their own practice within the UNESCO AI Competency Framework for Teachers (2024);– formulate one specific\, implementable commitment for their own teaching. The session is open to teaching staff across all disciplines and requires no prior technical knowledge. All materials are released as Open Educational Resources under CC BY 4.0. 								\n				\n		\n				\n				\n					REGISTER HERE				\n				\n				\n				\n					JOIN THE ROOM
URL:https://eugreenalliance.eu/event/angers-event-signature-of-the-mou/
LOCATION:Université Angers\, Angers\, France
ATTACH;FMTTYPE=image/jpeg:https://eugreenalliance.eu/wp-content/uploads/2022/07/angers1-copy.jpg
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