How To
At Your Service: How to Build an AI-driven Online Tutor for your University
Date Thursday, Nov 23 Time – Room Rook
This hands-on workshop will guide participants through the essential steps of creating an AI-powered tutor for online educational environments. Utilising real-world examples, we will explore the decision-making process, key technologies, and implementation strategies crucial for developing an AI tutor.
You will engage in peer-learning activities and interactive group discussions, leaving with a concrete plan to implement AI-driven tutoring in your educational settings.
Session Takeaways:
- A comprehensive understanding of the core technologies and algorithms behind AI tutors, enabling you to make informed decisions.
- Practical strategies for implementation, including choosing the right team, setting objectives, and measuring effectiveness.
- A toolkit of best practices to ensure that your AI tutor complements human instructors and enhances the overall learning experience.
Philipp Hoellermann
Chief Transformation Officer, DWG, Germany
Philipp Höllermann is an expert in digital transformation, online learning, and higher education. As Chief Transformation Officer (CTO) of DWG Education Holding, he is responsible for evaluating new technologies, developing new program offerings and improve the services for the holding’s universities. Also, he advises education providers and companies in program development in his role as Managing Director of Höllermann & Sons GmbH.
The main focus of his professional and scientific activities is the digitization of (learning) processes, mobile education, social learning, blended learning, workplace training, open innovation, artificial intelligence, and augmented & virtual reality.
Mr. Höllermann is a member of the expert networks Hochschulforum Digitalisierung (German Forum for Higher Education in the Digital Age) and “Network Digital Education”, a jury member at Bitkom, and a regular speaker on topics related to digital education.
Among others, Philipp Höllermann has worked for Galileo Global Education (GGE), IU International University (previously IUBH International University), COGNOS Education Group, the New Zealand Food Safety Authority (NZFSA), change management consultancy CPC Unternehmensmanagement AG, and the European Business School (EBS).
Marlon Kress
Applied AI, Deutsche Weiterbildungsgesellschaft GmbH
As an early adopter, Marlon Kress has been developing open source projects based on the emerging technology of large language models (LLMs). Combining specific domain knowledge with the capabilities of these LLMs to find new ways of assistance, creative inspiration, and task automation has since become his passion.
While studying sound and music production at the University of Applied Sciences in Darmstadt, Germany, he is also currently exploring the intersection of digital audio and the emerging perspectives of artificial intelligence.
In his role as technical lead, he works on the WBH A[I]ssist project at the Deutsche Weiterbildungsgesellschaft mbH.