Using AI Tools in Academic Contexts
The use of generative artificial intelligence (AI) has become part of everyday academic life and raises questions about both its scientifically correct use and its potential for changing academic careers.
This module explores the process of creating a scientific paper using various AI tools. This allows students to examine AI-relevant aspects of “good scientific practice” and, at the same time, practice the appropriate and targeted use of AI systems in academic studies and research.
About the course
Content
This course structure is designed to emphasize both theoretical understanding and practical application of AI tools in academia. The following topics will be covered:
- Introduction to AI in Academia
- Ethical Considerations
- Writing Enhancement Tools
- AI in Literature Review
- Research and Data Management
- Collaboration and Communication
- Computational Tools for Analysis
- Practical Application and Case Studies
Learning outcomes
After successful completion, participants will be able to:
- explain what AI is, what technical requirements must be met, and
- what it can be used for;
- select a suitable AI for a specific application;
- evaluate the quality and accuracy of AI-generated results;
- use AI tools and revise their use in a goal-oriented manner;
- assess the scope of the given framework for a selected AI, such as data protection, finances, resources, training data, ethics, and other aspects;
- examine the copyright relevance of AI inputs and outputs; and
- assess their suitability for “good scientific practice”
Programme
Key aspects of using AI tools in academia are to enhance productivity, improve writing quality, efficiency and accuracy, better and clear organization of data, improve learning aid and foster a better understanding of academic content.
Teaching method(s)
Series of online lectures
Extra information on the teaching methods:
- one 90-minute (synchronous) seminar session per week
- synchronous group work activities (self-regulating groups)
- self-study activities
Assessment method(s)
Form of assessment:
- Written (AI assisted) term paper and documentation of AI use
Timing for Assessment:
- Seminar paper and documentation submission (01.07.2027) and Oral examination (5-7 minutes presentations)(8 - 15 July 2027)
Further requirements for assessment:
- Regular attendance and active involvement, preparation of term paper using AI tools, documentation of use of AI tools
Calculation of the examination mark:
Participants demonstrate their acquired skills by completing a seminar paper, which uses AI tools throughout the entire process, from topic selection to completion. The use of the tools is documented and reflected upon. The documentation serves as the basis for assessment.
Lecturers
Aisha Aamir (University of Göttingen)
Course dates
Academic Year: 2027
Course schedule: One 90-minute online session per week, Thursday, 10:15-11:45, from 15 April to 15 July 2027 on ZOOM.;
Teaching and learning material available on Moodle/Stud IP (or via email).
How to register?
Entry requirements: Good level of English, some experience in writing term papers
Students from all ENLIGHT partner universities are eligible to participate. Students apply directly to the host university through Application link. The host university will select the permitted number of students and inform admitted students as soon as possible.
Before applying, students should check with their home faculty or programme whether the course can be included in their curriculum and whether the credits will be recognised. Ghent University students must obtain approval via the faculty approval form signed by Faculty Student Administration (bachelor & master students) or through the recognition module in Oasis (PhD students).
Contact your ENLIGHT coordinator for further information on the application process or consult the linked information:
- University of the Basque Country:
This email address is being protected from spambots. You need JavaScript enabled to view it. - University of Bern:
This email address is being protected from spambots. You need JavaScript enabled to view it. , see application instructions for students at the University of Bern - University of Bordeaux:
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This email address is being protected from spambots. You need JavaScript enabled to view it. , see application instructions for students at the Comenius University Bratislava - University of Galway:
This email address is being protected from spambots. You need JavaScript enabled to view it. - Ghent University:
This email address is being protected from spambots. You need JavaScript enabled to view it. , see information about BIP's and virtual courses - University of Groningen:
This email address is being protected from spambots. You need JavaScript enabled to view it. - University of Göttingen:
This email address is being protected from spambots. You need JavaScript enabled to view it. (for BIP’s) orThis email address is being protected from spambots. You need JavaScript enabled to view it. (virutal courses) - University of Tartu:
This email address is being protected from spambots. You need JavaScript enabled to view it. , see information about BIP’s and virtual courses - Uppsala University:
This email address is being protected from spambots. You need JavaScript enabled to view it. , see application instructions for students at Uppsala University
Contact
Contact
If you have questions about the course (content, structure, requirements, etc.), please contact:
Aisha Aamir,