Roman Rietsche

Roman Rietsche

Research Professor for Information Systems and AI

Bern University of Applied Sciences

I hold a professorship in Digital Technology Management at Bern University of Applied Sciences, specializing at the nexus of educational technology, psychology, and human-computer interaction.

My research follows three connected work streams: (1) developing effective information systems that embed artificial intelligence and large language models, (2) designing and measuring behavior change through digital interventions, and (3) evaluating the impact of digital technologies on organizations in the context of reskilling and upskilling.

One of my key achievement is the LOOM feedback system, which has enhanced the educational experience of over 2,000 students across the United States, Germany, and Switzerland.

In addition, I lead a project, the Swiss Circular Economy of Skills and Competences (SCESC), funded by a 6 million Swiss franc grant from Innosuisse. This project unites a multidisciplinary team with researchers from EHB, EPFL, HSG-IWP, HSG-IWI, UZH and ZHAW and the implementation partner X28.

Collaborations with industry, particularly in digital re-skilling and up-skilling, include partnerships with Siemens AG, Volkswagen AG, and Stiftung Brändi.

Experience

 
 
 
 
 
Bern University of Applied Sciences
Professor
Bern University of Applied Sciences
October 2023 – Present

Research Interests:

  1. Developing effective information systems that embed artificial intelligence and large language models.
  2. Designing and measuring behavior change through digital interventions.
  3. Evaluating the impact of digital technologies on organizations in the context of reskilling and upskilling

Head of Research Lab for AI-based re- and upskilling (LAIRU) * Development of AI tools e.g.: for digital onboarding, personalized learning paths, automated situative judgement tests * Design of a holistic Human Centric Re- and Upskilling Framework for organizations * Consulting

 
 
 
 
 
University of St. Gallen
External Lecturer
University of St. Gallen
September 2020 – Present
Teaching courses in Master of Business Innovation, Master in Computer Science and Executive Education
 
 
 
 
 
Cambridge Assessment and Department of Computer Science and Technology - University of Cambridge
Research visit
Cambridge Assessment and Department of Computer Science and Technology - University of Cambridge
June 2019 – January 2020
 
 
 
 
 
Fox School of Business - Temple University
Research visit
Fox School of Business - Temple University
January 2019 – May 2019
 
 
 
 
 
Prof. Dr. Jan Marco Leimeister, Institute of Information Systems, University of St. Gallen
Research Group Leader, Postdoctoral Fellow and PhD
Prof. Dr. Jan Marco Leimeister, Institute of Information Systems, University of St. Gallen
June 2016 – September 2023
 
 
 
 
 
Leitwerk AG
Senior Systems Engineer
Leitwerk AG
December 2013 – May 2016
  • Security Consulting (Firewalls, security concepts)
  • Network Infrastructure Consulting (Routing, Switching, VPNs)
  • Founder of the Competence Center for IT Project Management

Projects

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Reflective Writing for Personal Development: Leveraging AI for Scalable Learning
Leveraging AI, our project transforms reflective writing in education by providing personalized, scalable feedback and insights, empowering learners to develop essential future skills for sustainable development.
Reflective Writing for Personal Development: Leveraging AI for Scalable Learning
DigiBot
DigiBot leverages AI to personalize digital skills assessments by adapting standardized questions to individual user profiles, enhancing relevance and engagement while balancing clarity and complexity for diverse skill levels.
DigiBot
Digital Coaching
The Digital Coach project demonstrates that transparently sharing an AI’s intermediate reasoning—framed with humility—enhances user trust, engagement, and outcomes in coaching and educational settings.
Digital Coaching
Swiss Circular Economy of Skills and Competences (SCESC)
This project promotes an unprecedented learning experience for advanced trainers, who are to be supported in an integrated manner with the help of a platform based on the circular economy model. The objectives of this project include the promotion of current and medium-term qualification needs, the full utilization of the competence portfolio of the trainee, which is realized with the help of a continuous comparison of individual qualification needs and advanced training opportunities, as well as the support of individual competence development by a digital coach. The project is scheduled to run for three and a half years, starting in February 2022 and ending in summer 2025. Dr. Roman Rietsche is the overall project manager.
Swiss Circular Economy of Skills and Competences (SCESC)
Learning Objective and Outcome Manager (LOOM)
LOOM (Learning Objective and Outcome Manager) is an IT tool that uses state-of-the-art text mining algorithms and computer-based assessment to provide students with feedback throughout the semester. This supports the sustainable development of skills and meta-cognitive abilities such as self-regulated learning.
Learning Objective and Outcome Manager (LOOM)

Recent Publications

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(2024). How a Swiss Luxury Retailer Implements Process Mining to Improve Data-Driven Customer Excellence. Journal of Information Technology Teaching Cases.

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(2024). Intelligent Support Engages Writers Through Relevant Cognitive Processes. Proceedings of the CHI Conference on Human Factors in Computing Systems.

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(2024). Enhancing Peer Review with AI-Powered Suggestion Generation Assistance: Investigating the Design Dynamics. Proceedings of the 29th International Conference on Intelligent User Interfaces.

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(2024). An AI Approach for Predicting Audience Reach of Presentation Slides. Proceeding of the European Conference on Information Systems (ECIS) 2024.

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(2024). Chatbot Agents Displaying Non-factive Reasoning Enhance Expectation Confirmation. International Conference on Information Systems (ICIS) 2024.

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Current Teaching

Digital Business Management (M.Sc. Digital Business Administration)
Digital Enterprise (B.Sc. Information Systems)
Engineering the Companies Digital Core (M.Sc. Computer Science)
AI for Business (M.Sc. Digital Business)
Business Innovation II (M.Sc. Business Innovation)
Prompt Engineering: Innovation through generative AI (M.Sc. Business Innovation)
Prompt Engineering (Executive Education)

Contact

If you want to learn more about my work. Get in contact.