AI in Higher Education

Research-Based Integration and Practice

Although the number of AI tools for education is vast, the field is still in its infancy. As a result, there is limited understanding of how to use the tools effectively in educational settings. Only a few scientific studies have examined the impacts of integrating AI integration on educational activities and assessments. This raises an important question: How can educational activities be (re)designed to be AI-compatible while minimizing risks such as overreliance and deskilling?

The program covers the impact of AI on all three components of Constructive Alignment (Learning outcomes, Learning activities and Assessment) and addresses the different impacts on different Bloom’s levels (Bloom et al., 1956).

This summer school is based on the AI for Instructors training of the ESI/RUG and is organised in cooperation with the Jantina Tammes School of Digital Society, Technology and AI'.

Practical information

Dates	7 - 11 July 2025
Location	Groningen, Netherlands
Level	Teachers and those who are in training to become a teacher in higher education who are familiar with AI concepts but seek research-based practice to integrate AI tools into their teaching.
Fees	€ 600 for participants that apply before the early-bird deadline the (1 April 2025) € 750 for participants that apply before the final deadline (1 May 2025) € 350 for students form University of Groningen The fees include lunches, coffee, closing reception. The Summer School has partial scholarships available for students from less privileged countries. If you would like to apply for a partial scholarship, please let us know in your motivation letter why you think you should qualify for the scholarship. Please note that students from ENLIGHT universities are eligible for the same fee as UG students.
Academic coordinators	MSc Pauline Bakker Jantina Tammes School/ University of Groningen Tracy Poelzer, M.Ed., Educational Support and Innovation (ESI)/ University of Groningen
Contact	JTSsummerschools@rug.nl

Requirements

This summer school is designed for teachers and those who are in training to become a teacher in higher education who are familiar with AI concepts but seek research-based practice to integrate AI tools into their teaching.

It is expected that the participants have a sufficient command of the English language to actively participate in the discussions and to present their own work in English.

Course schedule

Each day of the summer school begins with an expert-led session that introduces participants to a particular AI tool or development in education. Participants then work in small groups to apply these insights by (re)designing an educational activity that they can implement in their own teaching. On the final day, participants will present their redesigned activities and receive feedback from the experts.

Learning outcomes

Upon completing the summer school, a participant:

Navigating AI in Education: Identify both the opportunities and challenges AI presents in the educational landscape.
Use research-based AI tools: Use AI tools that are grounded in scientific research to enhance your teaching practices.
Apply scientific insights: Know the latest scientific findings on AI in educational development and assessment.
(Re)Design your own course: (Re)designs one of your courses, in cooperation with peers, to make it AI inclusive or resistant.

Workload

Preparatory work: 26 hours
Summer school contact sessions: 40 hours
Summer school assignments: 20 hours

Upon successful completion of the programme, the Summer School offers a Certificate of Attendance that mentions the workload of 56 hours (28 hours corresponds to 1 ECTS). Students can apply for recognition of these credits to the relevant authorities in their home institutions, therefore the final decision on awarding credits is at the discretion of their home institutions. We will be happy to provide any necessary information that might be requested in addition to the certificate of attendance.

Application procedure

To apply, kindly fill out the online application form. Please note that you will be asked to upload the following documents:

Curriculum Vitae (max. 2 pages)
Motivation letter, clearly stating why you want to join this summer school, what you will bring to the school and what you hope to learn (max. 1 page). If you would like to apply for a grant, please indicate this in your motivation letter.

Apply now!

The early bird deadline is 1 April 2025 and the final deadline is 1 May 2025. Selected applicants will be informed of the outcome of the selection process after the deadlines have passed.

Last modified:

28 January 2025 11.01 a.m.