Artificial intelligence for creativity in education (AICE2021)

Workshop at European Conference on Technology-Enhanced Learning (EC-TEL2021)

Full Day: Tuesday, September 21st

Location: Virtual (on Gather.town platform)

Welcome to the workshop!

Artificial intelligence and machine learning are nascent forces for social good, and as they are applied more extensively to both education and learning analytics, they point to unprecedented opportunities to foster creativity in the classroom and beyond. In this full-day virtual workshop, we explore the interdisciplinary nexus of techniques ranging from regression to clustering, decision trees, random forests, and neural networks; and creativity in education. From AI-driven chatbots developed to imitate teachers to interactive smart textbooks and generative modeling-based art classes, there is so much subject matter to be covered. We will hear from three invited speakers and some oral presentations from contributed abstracts submitted to the workshop. There will also be dedicated discussion sections where all attendees can provide their input and chip in to the streamlining of this emerging research community, which will only become more influential in the years to come. Finally, there will be interactive sessions where attendees will engage in exercises to test the value of certain creativity-inducing AI technologies for education.

ORGANIZER

Thomas Y. Chen (thomaschen7@acm.org)

Thomas is a machine learning researcher from the New York Metro area in the USA who is passionate about computer vision and artificial intelligence applications for climate change, the geosciences, and learning analytics. He is highly involved in applying ML and AI to real-world issues that face society. He has been an invited speaker at conferences like the IEEE Conference on Technologies for Sustainability, American Geophysical Union Fall Meeting, and the Energy Anthropology Network. Thomas has also spoken at events like NeurIPS and CVPR workshops, Applied Machine Learning Days, the Open Data Science Conference, ACM SIGGRAPH, and Machine Learning Week Europe. Thomas is a member of the U.S. Technology Policy Committee (Association for Computing Machinery) and the Research Data Alliance.

HOW TO PARTICIPATE

Please register on the main EC-TEL 2021 website (https://ea-tel.eu/ectel2021/ec-tel-2021-registration). Please select the workshop(s) you are interested in during the registration process. Zoom links will be sent out to registered attendees.

The full list of workshops at EC-TEL is located at https://ea-tel.eu/ectel2021/workshops. Please reach out to EC-TEL at ec-tel@inf.unibz.it or the organizer of AICE2021 (Thomas Y. Chen) at thomaschen7@acm.org if you have any questions about registration.

OUTCOMES

The output of the workshop will be a white paper, where all oral presenters and invited speakers will be invited to contribute. There will be a possibility of a peer-reviewed publication that comes out of this white paper. However, the workshop itself will be non-archival and abstracts will only be displayed on the website. At the same time, all accepted authors will be invited to submit an EXTENDED version of their abstract to a special issue of the International Journal of Artificial Intelligence in Education.