Thiemo Wambsganss

Thiemo Wambsganss

Thiemo Wambsganss

Wissenschaftlicher Mitarbeiter
IWI-HSG
52-6026
Müller-Friedbergstrasse 8
9000 St. Gallen
Schwerpunkte
  • AI-based Adaptive Learning
  • Argumentation Mining
  • Adaptive Skill Learning
  • Empathy Detection
  • Technology-mediated Learning
  • Conversational Agents in Education
  • Natural Language Processing
  • Machine Learning
  • Deep Learning
Forschungsgebiete
  • Human-Computer Interaction
  • Natural Language Processing
  • Educational Technology
  • Information Systems
Ausbildung
  • 2018 - M.Sc., Industrial Engineering @ Karlsruhe Institute of Technology (KIT)
  • 2017 - Stanford ME310 Design Thinking Class as part of the Sugar network 
  • 2016 - B.Sc., Industrial Engineering @ Karlsruhe Institute of Technology (KIT)
  • 2015 - Bachelor thesis within a scientific exchange at the Software Institute at the Beijing Insitute of Technology (BIT), Beijing, China
Projekte
  • 2021: SNSF Doc.Mobility Fellowship at Carnegie Mellon University: Improving Adaptive Argumentation Learning through Artificial Intelligence  
  • 2019 - 2020: HSG GFF project fund: Improving the Argumentation Skills of Students through Machine Learning  
Mitgliedschaften
  • Association for Computing Machinery (ACM)
  • ACM Special Interest Group on Computer-Human Interaction (SIGCHI)
  • Association for Information Systems (AIS)
  • Association for Computational Linguistics (ACL)
Auszeichnungen
  • 2021 Nominee of project „ArgueLearn“ for DELINA Learntec Innovation award
  • 2021 Supervisor of the best Master’s thesis in the field of educational technology awarded by the Gesellschaft für Informatik (GermanSociety) 
  • 2021 One-year research fellowship from the Swiss National Science Foundation (SNF, Doc.Mobility) with Carnegie Mellon University
  • 2021 Doctoral Consortium at the ACM Conference on Human Factors in Computing Systems (CHI) 2021
  • 2021 Best Reviewer Award at the International Conference on Wirtschaftsinformatik 2021
  • 2021 Nominee Best Paper Award at the International Conference on Wirtschaftsinformatik 2021
  • 2020 Best Reviewer Award at the International Conference on Information Systems (ICIS) 2020
  • 2020 Best Theory Paper First Runner-Up Award at the International Conference on Information Systems (ICIS) 2020
  • 2020 Honourable Mention Award of the ACM Conference on Human Factors in Computing Systems (CHI) 2020  
Forschungskooperation
  • Ken Koedinger, Human-Computer Interaction Institute at Carnegie Mellon University
  • Andrew Caines, Institute for Automated Language Teaching and Assessment, Cambridge University 
  • Matthias Söllner, University of Kassel
Weitere Informationen

I strive to conduct interdisciplinary research in the fields of Information Systems, Computer Linguistics, and Human-Computer-Interaction to increase learning success and education across all domains. To do so, I use techniques from Artificial Intelligence such as Natural Language Processing, Transfer and Deep Learning to build AI-powered education tools such as Intelligent-Tutoring-Systems or Conversational Agents. 

More information through: https://ai-for-education.com/