Competence development in AI for university teachers

Open-access modules

The target audience for the modules is university teachers. The modules are designed to be used either directly by university teachers for professional development within their own workgroups or by academic developers as a foundation for competence development workshops or university-level pedagogical courses for university teachers. The modules can be used in their entirety, in selected parts, or as inspiration for creating customized material.

The instructions in the modules are written for the facilitator responsible for leading the module. The facilitator should carefully consider which parts of the material should be made available to participants as preparatory resources beforehand and which should be introduced during the collaborative session. The facilitator is also responsible for distributing both the preparatory materials and any accompanying instructions to the participants.

The competence development modules are available through Github where you will find versions in Swedish and English. Please note that everything is publicly available and that you don’t need an account to access the content. It is recommended that you start by reading the Readme-file where you will find information on how the modules can be used and how to copy the content to your own platform (e.g. Canvas). If you’d like to contribute to the development of the modules, this can easily be done via GitHub.

The modules are available on Github. Questions? Contact the developers: moduler@wasp-ed.org

Module 1

This module provides a broad and general introduction to the field of Artificial Intelligence. It is intended to create some conceptual understanding and basic understanding of what AI is and at the same time motivate why everyone needs to understand a little about how AI works.

Module 2

This module introduces participants to AI concepts through practical applications, focusing on neural networks and language models. Combining individual exploration with collaborative activities, participants will gain hands-on experience with tools and techniques such as deep learning and prompt engineering. By engaging in interactive exercises and guided discussions, the module fosters a deeper understanding of AI’s capabilities and encourages learners to experiment thoughtfully with AI technologies in diverse contexts.

Module 3

This module addresses the ethics, opportunities, and risks of AI. Here, participants reflect on ethical aspects of AI and evaluate potential opportunities and risks with the use of AI. Questions raised are about what we want and should use AI for.

Module 4

This module explores the potential of generative AI and learning analytics as tools to enhance both learning and teaching practices. It aims to inspire the development of innovative approaches that leverage these technologies, harnessing the opportunities of digitalization to foster improved and enriched learning experiences for our students. By balancing opportunities with critical reflection on challenges, the module aims to equip university teachers with strategies for a thoughtful and effective use of generative AI in higher education.

Module 5

This module explores the integration of AI within specific disciplines and teaching practices, focusing on how subject-specific AI applications and broader AI technologies impact higher education and professional practice. Participants will work in subject-specific groups to identify relevant AI applications, initiate curriculum development, and discuss how AI can address pedagogical challenges unique to their fields. Through collaborative activities and reflective discussions, the module introduces university teachers to tools and insights needed to adapt their teaching and ensure students are prepared for the evolving role of AI in their disciplines.

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