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AI-Assisted Writing

Module name (EN):
Name of module in study programme. It should be precise and clear.
AI-Assisted Writing
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Industrial Engineering, Master, ASPO 01.10.2021
Module code: WiMb21IN120
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
0BL
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
6
Semester: 1
Mandatory course: no
Language of instruction:
German
Assessment:
Portfolio

[updated 23.09.2025]
Workload:
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
The total student study time for this course is 150 hours.
Recommended prerequisites (modules):
None.
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Stefan Georg
Lecturer: Prof. Dr. Stefan Georg

[updated 11.08.2025]
Learning outcomes:
After successfully completing this module, students will be able to:
Use prompting techniques.
Conduct AI-based literature searches,
Use alternative AI-supported brainstorming tools,
Use alternative AI tools for language improvement,
Identify and fix the weaknesses of AI-supported text creation.


[updated 23.09.2025]
Module content:
1. Self-reflection on prior knowledge in the field of artificial intelligence
2. Introduction to artificial intelligence
3. Basic prompting techniques
4. AI-powered tools for generating ideas and brainstorming
5. AI-supported literature research
6. AI-powered text generation tools
7. AI-powered language improvement tools
8. Manual optimization of AI-supported texts
9. Final reflection on the opportunities and limitations of AI-assisted writing


[updated 23.09.2025]
Teaching methods/Media:
Moodle-based online course

[updated 23.09.2025]
Recommended or required reading:
Brommer, S., et al. (2023). Wissenschaftliches Schreiben im Zeitalter von KI gemeinsam verantworten (Hochschulforum Digitalisierung beim Stifteverband für die Deutsche Wissenschaft e.V., Hrsg.). Edition Stifterverband. https://hochschulforumdigitalisierung.de/wp-content/uploads/2023/11/HFD_DP_27_Schreiben_KI.pdf
Buck, Isabelle: Wissenschaftliches Arbeiten mit KI (2025). utb.
de Witt, C., Rampelt, F., & Pinkwart, N. (Hrsg.). (2020). Whitepaper „Künstliche Intelligenz in der Hochschulbildung“. https://doi.org/10.5281/ZENODO.4063722
Hochschule für Technik und Wirtschaft Berlin. (2023b). KI-Verzeichnis & Angabe von KI-Tools als Quellen/Hilfsmittel. Handout: Eigenständigkeitserklärung & KI-Verzeichnis. https://www.htw-berlin.de/fileadmin/HTW/Zentral/LSC/Formulare/Eigenstaendigkeitserklaerung_KI_HTW_20230823_LSC_OER.pdf
Kremb, M. (2023). Lesen, schreiben, rechnen, prompten. WirtschaftsWoche Heft 26/2023 vom 23.06.2023, 26, 38.
Salden, P., & Leschke, J. (Hrsg., 2023). Didaktische und rechtliche Perspektiven auf KI-gestütztes Schreiben in der Hochschulbildung. Zentrum für Wissenschaftsdidaktik der Ruhr-Universität Bochum. https://doi.org/10.13154/294-9734
Schindler, K. (2023). ChatGPT oder Überlegungen zu den Veränderungen des Schreibens in der Schule. https://doi.org/10.18716/OJS/MIDU/2023.2.5
Theisen, M. R. (2023). ChatGPT: Risiken, Gefahren und Chancen in Lehre und Forschung. WiSt – Wirtschaftswissenschaftliches Studium, 52(12), 17–23. https://doi.org/10.15358/0340-1650-2023-12-17

[updated 23.09.2025]
 
[Thu Oct 16 17:05:05 CEST 2025, CKEY=wksa, BKEY=wtm2, CID=WiMb21IN120, LANGUAGE=en, DATE=16.10.2025]