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Germany
1
DigiTeLL & Share — DigiTeLL & Share - Lehre entwickeln, etablieren, entfalten
03 Apr 2025 - 04 Apr 2025 • Frankfurt am Main, Germany
Organizer:
Goethe-Universität Frankfurt
Abstract:
DigiTeLL steht für „Digital Teaching and Learning Lab“, einem virtuellen Kommunikations- und Kollaborationsraum, der dauerhafte Innovationsschleifen in Lehren und Lernen unterstützten soll. Im Lab vernetzen sich Innovator:innen im Rahmen von Partnerships. Am 3. und 4. April 2025 wollen wir zur Abschlusskonferenz von DigiTeLL zusammenkommen und uns zu dem breiten Feld der Lehre und Digitalisierung an Hochschulen austauschen. Dabei steht die Veranstaltung ganz im Zeichen der Präsentation und kritischen Reflexion innovativer digitaler Lehr- und Lernkonzepte – Learning Designs – in der Hochschullehre. Die Teilnahme ist kostenfrei. Um frühzeitige Anmeldung wird gebeten.
Contact:
Phone: [069/798-32020];     Email: Stierwald@sli.uni-frankfurt.de
Topics:
Digitalisierung in der Hochschullehre, Open Educational Resources (OER), Learning Designs, Technologiegestütztes Lernen
Event listing ID:
1637439
Related subject(s):
Education
Event website:
https://digitell.uni-frankfurt.de/
2
Dagstuhl-Seminar — Generative AI in Programming Education
27 Jul 2025 - 01 Aug 2025 • Schloss Dagstuhl – Wadern, Germany
Organizer:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH
Abstract:
This Dagstuhl Seminar aims to bring together experts and stakeholders in Generative AI and computing education to foster collaboration and to chart a way forward as Generative AI continues to improve and proliferate. It is the goal of this seminar to leverage the experience and knowledge of dozens of programming education experts from around the world to form an enduring community of practice. During the Dagstuhl Seminar, we intend to develop strategies for incorporating LLMs into programming education and to rigorously evaluate their use and impact. This seminar will explore the following topics in the context of Generative AI in programming education: accessibility; diversity, equality, and inclusion; resources; introductory programming for computer science majors and non-majors; advanced courses (that use programming); curriculum changes; novel pedagogies, approaches and tools; and industry use and changes that may lead to new learning outcomes.
Event listing ID:
1626903
Related subject(s):
Neural Networks and Artificial Intelligence, Machine Learning,    e-Learning, Computers in Education
Event website:
https://www.dagstuhl.de/25311


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Last updated: 12 September 2024