Digital guide for AI-integration in Industrial Economics and Management

Mapped principles 

The project is mapped to the following framework principles:

P1. Essential knowledge of the subject

P9. A developing educational culture 

P10. Continuous competence development in the teaching role 

Definitions of the principles

Contact

Anna Nyquist lecturer

anna-maria.nyquist@indek.kth.se

Profile

This project was implemented at the School of Industrial Engineering and Management (ITM) within the Future Education programme (project no. 2421-ITM). 

Project context  

With the rapid advancement of Artificial Intelligence (AI), and in particular Large Language Models (LLM) such as GPT-based models, the use of AI in academic contexts has increased significantly. In teaching, we see that students are using AI and LLM to a large extent, but so far without much guidance. The LLM models are particularly focussed on text improvement, which means that the writing of, for example, reports can now be handed over to the LLM. This affects both learning processes and reliable examination. 

The lack of adequate guidance results in potential challenges related to academic integrity, transparency, copyright, and critical thinking.  

Purpose (outcome) 

The purpose of the project is to:

• promote ethical and responsible use of AI in teaching for both students and teachers.

• increase awareness and knowledge of the possibilities and limitations of AI, leading to improved quality in students’ academic work and a more robust examination process. 

Project results (output) 

A functional digital guide for integrating AI into teaching at the Master’s programme Technology-Based Entrepreneurship (TTBEM), where principles, inspiration and examples are collated to be used by both students and teachers, with the potential to also be used by other programmes at INDEK. Sub-results are: 

• Literature study

• Workshops and interviews for both initial needs analysis and for continuous collection of experiences and insights from using the guide 

• AI guide as a compendium (before the digital guide is produced)  

• Successive versions of the digital guide. 

Time plan 

Start date: 2024-06-01
End date: 2025-06-30 

Project documentation 

If you have a KTH ID, you can read the documents when logged in:

• Poster: Poster_FrU25_2421-ITM_Digital guide AI_250520.pdf (English)

• Project initiation document: Projektdirektiv_FrU24_2421-ITM_AI-DigitalGuide_240919.pdf (Swedish)