In this deep dive, Linny & Sam discuss the “AI Maturity Matrix” — a roadmap for universities and their role in the future of AI. The nine stages, from “AI Experimenter” to “Process Pro,” offer insights into how higher education institutions can advance their research and teaching in the field of artificial intelligence.
More Info: http://AI-Matrix.KI-Campus.eu
The recording was created using the NotebookLM podcast tool.
Discover how AI is transforming university life with intelligent chatbots! These advanced systems collaborate in the background, remembering student interactions, balancing schedules, and integrating new learning materials. Leveraging powerful theories like 2-Sigma, Flow, and Self-Determination Theory (SDT), they craft personalized learning plans tailored to each student’s needs while aligning with official handbooks. Already in use and making an impact, this technology is part of the SMARTA project (Student Motivation and Reflective AI-Assistants) and is integrated into the TraiNex campus management system.
In addition to the already available workshop materials, you can use this poster for free.
Last week, we had the pleasure of conducting a workshop at EDULEARN24 (IATED) in Spain. The AI-Maturity-Matrix workshop sparked some very stimulating discussions. Thanks to all participants. Most of you were able to assign yourselves to one of the 10 sections of the matrix and finally found out, “Are we AI-Newbies, AI-Experimenters, or AI-Avant-Garde, or …?”
Today, as promised, the materials from the workshop are available for download and can be used by other moderators and workshops.
You can download the moderator-slides (pptx) and the participant-worksheet (docx) here:
http://ai-workshop.trainings-online.de
The affiliated paper “AI MATURITY MATRIX – A MODEL FOR SELF-ASSESSMENT AND CATEGORIZATION OF AI-INTEGRATION IN ACADEMIC STRUCTURES” can be downloaded on ResearchGate:
https://www.researchgate.net/profile/Stefan-Bieletzke
Together with students who use our chatbots, a hip-hop video was created that well reflects the performance capabilities.