ChatGPT and Take-Home Exams: Innovative Approaches to the Responsible Integration of Generative AI in Higher Education
Teaching students to use ChatGPT—AI-driven take-home exams that enhance learning and ensure integrity!
Duration: January 2025 – January 2026
Status: Ongoing
Educational Level: Tertiary Level
Topic: Artificial Intelligence AI
Keywords: Chatbots, Generative AI, Take-Home Exams, Academic Integrity, Responsible AI
Initial Situation
The project explores how generative AI, particularly ChatGPT, can be responsibly integrated into university assessments. It addresses the challenge of maintaining academic integrity while harnessing the pedagogical potential of AI-based tools. The aim is to design, test, and evaluate new take-home exam formats that promote fair, transparent, and learning-oriented assessment practices. Through literature review, development of two AI-supported assessment methods, and pilot testing in real teaching settings, the project examines how ChatGPT can enhance learning processes without compromising ethical standards. Qualitative and quantitative evaluations measure effectiveness and acceptance among students and instructors. Practical transfer is ensured through workshops and implementation guides that help educators adopt and adapt the new approaches. Ultimately, the project seeks to establish sustainable AI-informed assessment models and contribute to the digital transformation of higher education. By combining scientific rigor with pedagogical innovation, it fosters critical and reflective use of chatbots in academic contexts and strengthens collaboration among BeLEARN partner institutions.
Objectives
The project “ChatGPT and Take-Home Exams: Innovative Approaches to the Responsible Integration of Generative AI in Higher Education” aims to develop new examination formats that enable the didactically meaningful and ethically responsible use of generative AI. It seeks to ensure the integrity and fairness of take-home exams while providing educators with practical tools and guidelines for designing AI-supported assessments. In the long term, the project contributes to improving the quality and sustainability of digital assessment practices in higher education.
Method
The project uses a multi-phase research design combining literature review, development, pilot testing, and evaluation. Based on existing studies, two innovative assessment methods integrating ChatGPT are developed and tested in real university courses. Their feasibility, effectiveness, and impact on learning are examined through qualitative and quantitative data collection. In parallel, practice-oriented workshops train lecturers to apply and adapt the new formats. An iterative approach ensures continuous improvement and practical relevance of the results.
Planned Translation
The project ensures practical transfer through workshops, online guides, and publications. Lecturers will learn to apply and adapt the new AI-based assessment methods in their courses. Instructional materials and implementation guidelines will be shared on digital platforms such as bildung6.ch. Results and experiences will be disseminated through the BeLEARN community and scientific publications to support broad adoption and continuous improvement of AI-supported assessment practices in higher education.
The project promotes the responsible and reflective use of generative AI in higher education. It supports the development of fair, transparent, and learning-oriented digital assessments while strengthening academic integrity. By providing educators with concrete tools and training, it enhances teaching quality and fosters innovation in assessment design. The collaboration among BeLEARN institutions further amplifies the project’s impact, contributing to the sustainable digital transformation of higher education.
