- An AI Café -
Co-Creating New Ways of Information Systems Education (NWISEd)
Workshop Description
In this workshop we aim to discuss and share proven best practices and lessons learned for the integration and use of different AI tools (e.g., AI tutoring, AI grading, AI student profiling, etc.) into modern teaching and learning settings. Following the ECIS 2024 motto “People First: Constructing Digital Futures Together” we are interested in examples of learner/teacher-centered AI tools and how they help support and shape students’ learning journeys.
The education landscape has been rapidly transforming due to two significant factors: the COVID-19 pandemic's push for online learning and the recent emergence of powerful AI tools like ChatGPT. Understanding the implications of AI for teaching, research, and learning in higher education is now crucial. While there's both excitement and concern about AI's potential impact on traditional education, it's clear that these technologies will play an increasing role. Some see AI as a positive force to enhance accessibility and inclusivity, while others warn of ethical concerns, accuracy issues, and potential bias. In this workshop we therefore aim to offer educators a space to exchange their experiences, opinions, and best practices regarding the use of AI to transform teaching, assessment, and student engagement. To do so, we will combine invited presentations with a knowledge café structure, aiming to facilitate networking, knowledge sharing, and hands-on experience with innovative AI-based tools. The overall goal should be to understand both the success stories and challenges that require solutions so as to eventually better leverage AI technologies in higher education.
Workshop Structure
09:00 – 09:05: Welcome and introductions
09:05 – 09:45: Abstract Presentations
09.45 – 10:00: Coffee break
10:00 – 10:10: Lightning Talk to set the scenes
10:10 – 10:15: Introduction to the Knowledge Café structure
10:15 – 11:15: Round robin discussions on AI application
11:15 – 11:30: Plenary summary of discussions
11:30 – 12:00: Some hands-on sessions
12:00 – 12:15: Closing
Workshop Organizers
Dr. Desiree Cranfield
Swansea University, UK
Contact: d.j.cranfield@swansea.ac.uk
Prof. Stephan Schlögl
MCI – The Entrepreneurial School, Austria
Contact: stephan.schloegl@mci.edu
Prof. Isabella Venter
The University of the Western Cape, South Africa
Andre Daniels
The University of the Western Cape, South Africa
Assoc. Prof. Luka Pavlič
University of Maribor, Slovenia
Prof. Deepak Khazanchi
University of Nebraska at Omaha, USA
Optional Abstracts
We invite workshop participants who would like to give a short presentation on their successful integration of AI tools into teaching and learning to submit a hands-on summary of their experiences and lessons learned in the form of a 2-4 page (excl. references) extended abstract. Submissions should use the ECIS 2024 MS Word or LaTeX template and be sent to stephan.schloegl@mci.edu by April 29th 2024 AoE (Anywhere on Earth).
Submitted abstracts will undergo shepherd reviewing by members of the workshop program committee. Accepted abstracts will be added to a dedicated Zenodo open access repository and linked to from the workshop website and authors will be given approx. 5 minutes during the first part of the workshop to present their insights.