14879 - How to Study with Large language Models Modulübersicht

Module Number: 14879
Module Title:How to Study with Large language Models
  Studieren mit "Large Language"-Modelen
Department: Faculty 5 - Business, Law and Social Sciences
Responsible Staff Member:
  • Prof. Dr. rer. pol. Xie, Lin
Language of Teaching / Examination:English
Duration:1 semester
Frequency of Offer: Every summer semester
Credits: 6
Learning Outcome:

After completing the module, students will be able to:

  • use ChatGPT and similar tools in a targeted manner to address typical challenges in their studies
  • design learning processes, texts, and communication efficiently
  • independently overcome linguistic barriers in an academic context using AI tools
  • critically reflect on the functioning and limitations of AI tools
Contents:

The module provides practical skills for using ChatGPT and similar AI tools to support academic studies. The focus is on the efficient use of artificial intelligence to optimize learning processes, academic work, organization, and communication. Special emphasis is placed on reducing language barriers and promoting academic success through practical, everyday applications.

Contents:

  • Introduction to ChatGPT and AI tools in the higher education context
  • Prompting
  • AI support for learning and exams
  • Language support: translation, simplification, and text optimization
  • Assistance with academic writing
  • Coding and data analysis
  • Critical and ethical use of AI: limitations, data protection, and academic integrity
  • Practical exercises based on real university scenarios
Recommended Prerequisites:
  • Access to a personal computer with an internet connection is required.
Mandatory Prerequisites:

none

Forms of Teaching and Proportion:
  • Lecture / 2 Hours per Week per Semester
  • Self organised studies / 150 Hours
Teaching Materials and Literature:
  • Cotton, Debby R. E., Cotton, Peter A., and Shipway, J. Reuben. 2023. Chatting and Cheating: Ensuring Academic Integrity in the Era of ChatGPT. Innovations in Education and Teaching International 61(2):228-239.
  • Hochschulrichtlinien zur KI-Nutzung 

Additional digital tools such as: DeepL, Elicit etc.

 

Access to a personal computer with an internet connection is required.

Module Examination:Continuous Assessment (MCA)
Assessment Mode for Module Examination:
  • Homework, 15 Pages of reflected Dokumentation with the help of LLMs (60%)
  • Written Exam 60 Minutes (40%)
Evaluation of Module Examination:Performance Verification – graded
Limited Number of Participants:50
Part of the Study Programme:
  • Abschluss im Ausland / Stadtplanung und Städtebau / keine PO
 This module has been approved for the general studies.
Remarks:None
Module Components:None
Components to be offered in the Current Semester:
  • no assignment