AI in learning and teaching
The use of Artificial Intelligence in learning and teaching (e.g. ChatGPT) is currently at the center of many discussions. AI technology represents a challenge for higher education institutions, but it also provides new opportunities.
The University of Basel closely follows the development of chatbots and other AI-based tools, especially from the perspective of their use in learning and teaching.
The University of Basel is not planning to introduce a general ban on such tools.
In order to follow the develpment of AI-based tools, the University of Basel has established two working groups, each with a different mandate.
This group examines and evaluates the development of AI from the academic perspective and assesses its implications for strategic planning.
- Prof. Andrea Schenker-Wicki, President of the University (Chair)
- Prof. Thomas Grob, Vice-President for Education
- Prof. Florina Ciorba, Computer Science
- Prof. Ivan Dokmanić, Computer Science
- Prof. Markus Lill, Pharmaceutical Sciences
- Prof. Martin Luginbühl, German Linguistics
- Prof. Rui Mata, Psychology
- Prof. Heiko Schuldt, Computer Science
- Dr. Stefano Nigsch, General Secretary of the University
- Matthias Geering, Communication and Marketing
This group prepares and curates relevant information from the teaching perspective to help strategic decision-making and to provide guidance to Faculties and Departments.
- Prof. Thomas Grob, Vice-President for Education (Chair)
- Dr. Gudrun Bachmann, Educational Technologies
- Cornelia Eitel, University Library
- Dr. Dominik Marti, Educational Development
- David Schaub, Legal Services
- Dr. Jean Terrier, Educational Technologies
- Gerhild Tesak, Educational Development
AI-based tools in teaching
The University of Basel does not plan to introduce a general ban on AI-based tools. Professors and lecturers can decide on a case-by-case basis if they want to integrate AI-based tools into their teaching and/or into exams and assessments, or if they want to restrict their use.
The following matrix provides suggestions on how to handle AI-based tools in teaching and shows the measures that the University of Basel has implemented, or plans to implement.
Scenario 1: Integration
Using AI-based tools productively in learning and teaching (AI literacy)
Training and developing new text-production skills
Offering training opportunities
Providing access to tools
Providing or licensing tools, if required
Compliance with data protection and copyright law (data is stored on US servers)
Assessing tools from the perspective of data protection and copyright law
Scenario 2: Regulation
Restricting the use of AI in exams and assessments
Adapting tasks in exams and assessments (learning objectives level)
Offering training opportunities
Preventing access to tools (assessment security)
Exam-wifi / Safe Browser
Setting up restrictions (preventive measures / scientific integrity)
Declaration of independent authorship (see below)
Materials and training opportunities
To support students and teaching staff in the area of AI-based tools, the following materials and training opportunities have been developed.