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Thiemo Wambsganss
Former Member
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Title
Prof. Dr.
Last Name
Wambsganss
First name
Thiemo
Email
thiemo.wambsganss@unisg.ch
Phone
+41 71 224 3234
Web Site
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
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
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
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/