Gen AI in Education
Practical examples for your Classroom
Join us for a practice-oriented lunchtime event exploring the transformative role of Generative AI in education. Discover how an AI tutoring system in biology can analyze student learning, learn best practices for AI-assisted Python coding in Earth Science, and explore an innovative framework for notebook-only teaching in digital engineering. These inputs will showcase how GenAI is reshaping teaching methods, enhancing learning experiences, and fostering collaboration across disciplines.
Dr. Katja Köhler and Dr. Samuel Tobler (D-BIOL): Katja Köhler is the educational developer and a lecturer at D-BIOL and is the head of the D-BIOL Center for Active Learning. Samuel Tobler holds an MSc in Biology and a PhD in Learning Sciences from ETH. They will present the development and implementation of an AI tutoring system in biology education and discuss how this tool might be used to analyze student learning.
Dr. Alexis Shakas (D-EAPS)
Dr. Alexis Shakas (D-EAPS) introduces AI-assisted coding in Python with a focus on Earth Science applications; Good practices in generating code, project structuring and efficient collaboration through git.
Dr. Melanie Paschke (D-USYS)
Dr. Melanie Paschke (D-USYS) is lecturer at DUSYS, ETHZ and head of the structured Doctoral Programs in Plant Science and in Science and Policy. Exploring research integrity and the use of GenAI in the scientific process is part of her own teaching portfolio. As part of the recent finished Innovedum project POT-AI: Assessing the Potential of AI for Scientific Writing Techniques” there has been extensive facilitation of lecturers in DUSYS teaching settings where scientific writing is practiced – based on the two questions: As lecturer, do I have to do something about GenAI in my course? If yes, what can I do? This resulted in a collection of hands-on examples and re-usable material on how to use AI in these settings. Examples, strategies and our recommendations are shared in the 10-min input talk.
Dr. Falk Wittel (D-BAUG)
Dr. Falk Wittel (D-BAUG) is a lecturer at the DBauG. He describes a prototypical educational framework for notebook-only teaching and learning, developed for the bachelors course “digital engineering”. He then reports on the integration of generative AI into this framework, typical applications, associated teaching objectives and student perceptions.