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UID:20260910T101957Z - 40425@eugreen-agora-0
DTSTART;TZID=Europe/Berlin:20260918T090000
DTEND;TZID=Europe/Berlin:20260918T110000
CREATED:20260910T101957Z
DESCRIPTION:<a href="https://eugreen.pre.widening.eu/event/masterclass-ai-i
 n-teaching-tools-strategies-and-reflection-238/register">Masterclass "AI i
 n Teaching: Tools\, Strategies and Reflection"</a>\nMasterclass " AI in Te
 aching: Tools\, Strategies and Reflection" AI tools are already in our cla
 ssrooms — often before we have decided what we want them to do there. Th
 is Masterclass gives teaching staff a working command of generative AI in 
 higher education\, built around three questions: which tools\, which strat
 egies\, and what do we conclude? Participants first build a functional men
 tal model of how large language models actually behave\, then examine wher
 e that behavior helps or harms specific teaching tasks — preparation\, i
 n-class work\, assessment and administration. Live demonstrations show wha
 t 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 d
 efines one concrete change to their own teaching. By the end of the sessio
 n\, participants will be able to: - describe how generative AI systems pro
 duce output\, and use that understanding to predict where they fail\; - id
 entify and name recurring failure modes in AI-supported teaching work\; - 
 match AI tools to specific teaching tasks using a four-level framework\, f
 rom single prompts to structured workflows\; - locate their own practice w
 ithin the UNESCO AI Competency Framework for Teachers (2024)\; - formulate
  one specific\, implementable commitment for their own teaching. The sessi
 on is open to teaching staff across all disciplines and requires no prior 
 technical knowledge. All materials are released as Open Educational Resour
 ces under CC BY 4.0. Speaker: Dr. Hannes Tegelbeckers
DTSTAMP:20260910T101957Z
LOCATION:EU GREEN
SUMMARY:Masterclass "AI in Teaching: Tools\, Strategies and Reflection"
X-ALT-DESC;FMTTYPE=text/html:<a href="https://eugreen.pre.widening.eu/event
 /masterclass-ai-in-teaching-tools-strategies-and-reflection-238/register">
 Masterclass "AI in Teaching: Tools\, Strategies and Reflection"</a>\nMaste
 rclass " AI in Teaching: Tools\, Strategies and Reflection" AI tools are a
 lready in our classrooms — often before we have decided what we want the
 m to do there. This Masterclass gives teaching staff a working command of 
 generative AI in higher education\, built around three questions: which to
 ols\, 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 behavior helps or harms specific teaching tasks 
 — preparation\, in-class work\, assessment and administration. Live demo
 nstrations show what the technology does and does not do\, and where its f
 ailure 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 th
 e end of the session\, participants will be able to: - describe how genera
 tive AI systems produce output\, and use that understanding to predict whe
 re 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 t
 heir 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. Speaker: Dr. Hannes Tegelbeckers
END:VEVENT
END:VCALENDAR