BEGIN:VCALENDAR VERSION:2.0 PRODID:-//EU GREEN - ECPv6.15.13//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:EU GREEN X-ORIGINAL-URL:https://eugreenalliance.eu X-WR-CALDESC:Events for EU GREEN REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:Europe/Madrid BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20200329T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20201025T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20210328T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20211031T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20220327T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20221030T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20230326T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20231029T010000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;VALUE=DATE:20220901 DTEND;VALUE=DATE:20220902 DTSTAMP:20261027T152051 CREATED:20230214T121952Z LAST-MODIFIED:20230918T080544Z UID:1434-1661990400-1662076799@eugreenalliance.eu SUMMARY:UEx attends on behalf of EU GREEN to the CHARM alliance annual conference in Barcelona 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-attends-on-behalf-of-eugreen-to-the-charm-alliance-annual-conference-in-barcelona/ ATTACH;FMTTYPE=image/jpeg:https://eugreenalliance.eu/wp-content/uploads/2023/02/UEx-attends-on-behalf-of-EUGREEN-to-the-CHARM-alliance-annual-conference-in-Barcelona.jpg END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20220801 DTEND;VALUE=DATE:20220802 DTSTAMP:20261027T152051 CREATED:20230214T121352Z LAST-MODIFIED:20230918T080549Z UID:1431-1659312000-1659398399@eugreenalliance.eu SUMMARY:EU GREEN is proud to announce that Atlantic Technological University (Ireland) becomes partner of the alliance 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/eugreen-is-proud-to-announce-that-atlantic-technological-university-ireland-becomes-partner-of-the-alliance/ ATTACH;FMTTYPE=image/png:https://eugreenalliance.eu/wp-content/uploads/2023/02/BRAND-GUIDELINES-600X450-1.png END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20220801 DTEND;VALUE=DATE:20220802 DTSTAMP:20261027T152051 CREATED:20230425T073309Z LAST-MODIFIED:20230425T073309Z UID:1592-1659312000-1659398399@eugreenalliance.eu SUMMARY:ATU (Atlantic Technological University) joins EU GREEN as the 9th partner 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/atu-atlantic-technological-university-joins-eu-green-as-the-9th-partner/ END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20220728 DTEND;VALUE=DATE:20220729 DTSTAMP:20261027T152051 CREATED:20220728T110957Z LAST-MODIFIED:20230918T080555Z UID:1427-1658966400-1659052799@eugreenalliance.eu SUMMARY:The UE funds 4 alliance and EU GREEN is one of them 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/the-ue-funds-4-alliance-and-eugreen-is-one-of-them/ ATTACH;FMTTYPE=image/jpeg:https://eugreenalliance.eu/wp-content/uploads/2023/02/fireworks-g95e69d5b6_1280.jpg END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20220711 DTEND;VALUE=DATE:20220716 DTSTAMP:20261027T152051 CREATED:20220601T094007Z LAST-MODIFIED:20220601T094007Z UID:1064-1657497600-1657929599@eugreenalliance.eu SUMMARY:Summer School at UPWr 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/summer-school-at-upwr-2/ LOCATION:Wroclaw University of Environmental and Life Sciences\, Wroclaw\, Poland ATTACH;FMTTYPE=image/png:https://eugreenalliance.eu/wp-content/uploads/2022/06/Captura-de-pantalla-2022-06-01-a-las-11.34.14.png END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20220704 DTEND;VALUE=DATE:20220709 DTSTAMP:20261027T152051 CREATED:20220601T093755Z LAST-MODIFIED:20220601T093755Z UID:1057-1656892800-1657324799@eugreenalliance.eu SUMMARY:Summer School at UPWr 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/summer-school-at-upwr/ LOCATION:Wroclaw University of Environmental and Life Sciences\, Wroclaw\, Poland ATTACH;FMTTYPE=image/png:https://eugreenalliance.eu/wp-content/uploads/2022/06/Captura-de-pantalla-2022-06-01-a-las-11.34.14.png END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20220701 DTEND;VALUE=DATE:20220702 DTSTAMP:20261027T152051 CREATED:20230425T073250Z LAST-MODIFIED:20230425T073250Z UID:1590-1656633600-1656719999@eugreenalliance.eu SUMMARY:EU GREEN is selected in the European Universities Call 2022 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-is-selected-in-the-european-universities-call-2022/ END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20220601 DTEND;VALUE=DATE:20220602 DTSTAMP:20261027T152051 CREATED:20230425T072138Z LAST-MODIFIED:20230425T072138Z UID:1569-1654041600-1654127999@eugreenalliance.eu SUMMARY:Meeting in Brussels of the 44 European Coordinators of European Universities 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/meeting-in-brussels-of-the-44-european-coordinators-of-european-universities/ ATTACH;FMTTYPE=image/jpeg:https://eugreenalliance.eu/wp-content/uploads/2023/04/brussels-gb87a75ff1_1280.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Madrid:20220531T080000 DTEND;TZID=Europe/Madrid:20220603T170000 DTSTAMP:20261027T152051 CREATED:20220715T095750Z LAST-MODIFIED:20220715T112132Z UID:1305-1653984000-1654275600@eugreenalliance.eu SUMMARY:EU GREEN partners in NAFSA 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-partners-in-nafsa/ LOCATION:NAFSA\, Denver\, CO\, United States ATTACH;FMTTYPE=image/jpeg:https://eugreenalliance.eu/wp-content/uploads/2022/07/nafsa-copy.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Madrid:20220509T080000 DTEND;TZID=Europe/Madrid:20220510T170000 DTSTAMP:20261027T152051 CREATED:20220715T100153Z LAST-MODIFIED:20220715T111730Z UID:1310-1652083200-1652202000@eugreenalliance.eu SUMMARY:Europe´s Day in UA 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/europes-day-in-ua-2/ LOCATION:Université Angers\, Angers\, France ATTACH;FMTTYPE=image/jpeg:https://eugreenalliance.eu/wp-content/uploads/2022/07/nobel.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Madrid:20220503T080000 DTEND;TZID=Europe/Madrid:20220509T170000 DTSTAMP:20261027T152051 CREATED:20220715T100048Z LAST-MODIFIED:20220715T112108Z UID:1308-1651564800-1652115600@eugreenalliance.eu SUMMARY:Europe´s Day in UA 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/europes-day-in-ua/ LOCATION:Université Angers\, Angers\, France ATTACH;FMTTYPE=image/jpeg:https://eugreenalliance.eu/wp-content/uploads/2022/07/europe-day-angers-1-copy.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Madrid:20220421T080000 DTEND;TZID=Europe/Madrid:20220422T170000 DTSTAMP:20261027T152051 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 END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Madrid:20220309T080000 DTEND;TZID=Europe/Madrid:20220311T170000 DTSTAMP:20261027T152051 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:20261027T152051 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 END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Madrid:20210922T080000 DTEND;TZID=Europe/Madrid:20210924T170000 DTSTAMP:20261027T152051 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 END:VEVENT END:VCALENDAR