Viktoria Pammer-Schindler

Viktoria Pammer-Schindler

 

 

I'm an associate professor in HCI and EdTech at Graz University of Technology and research area manager at the Know-Center.

Research - Teaching - CVContact

Learning and Experience in AI-enabled Digital Environments

How can technology help us think and learn?
My vision is that interactive, adaptive and AI-based computer technologies and the digital environments we live in help us be productive and become competent in knowledge-intensive and creative activities.

This vision connects to human-computer interaction and educational technology: A longstanding dream in human-computer interaction andAI research has been that adaptive and AI-based technologies assist humans. This is a focus on productivity, assistive systems and automation.
In parallel, a longstanding dream in educational technology has been that adaptive and AI-based technologies assist humans to become more competent. This time, the focus is on supporting learning and intelligent tutoring or adaptive learning systems. My research brings these dreams together, and builds on and contributes to human-computer interaction and educational technology research.

I have been, amongst other things, president of the International Alliance to Advance Learning in the Digital Era, member of the European Association for Technology-Enhanced Learning's managing committee, subcommittee and associate chair at the ACM CHI, and special issue editor at renowned journals like the IEEE Transactions on Technologies for Learning and the British Journal of Educational Technology.

Research Streams:

Selected Publications

  1. Behzad Mirzababaei & Viktoria Pammer-Schindler (2024). Facilitating the Learning Engineering Process for Educational Conversational Modules using Transformer-based Language Models. IEEE Transactions on Learning Technologies. IF=3.7/Q1 DOI: https://doi.org/10.1109/TLT.2024.3367738
  2. Leonie Disch, Angela Fessl, Simone Franza, Joachim Kimmerle & Viktoria Pammer-Schindler (2023). Using Knowledge Construction Theory to Evaluate Learning Processes: A Randomized Controlled Trial on Showing Gradually Built-up Concept Maps Alongside a Scientific Text. International Journal of Human–Computer Interaction. IF=4.7/Q1 DOI: https://doi.org/10.1080/10447318.2023.2289296
  3. Michael Fruhwirth & Viktoria Pammer-Schindler (2023). Towards Principles for a Data-Driven Business Model Innovation Process - A Design Science Case Study. Proceedings of the 36th Bled eConference. Outstanding paper award.
  4. Irmtraud Wolfbauer, Viktoria Pammer-Schindler, Katharina Maitz & Carolyn Rosé (2022). A Script for Conversational Reflection Guidance: A Field Study on Developing Reflection Competence with Apprentices. IEEE Transactions on Learning Technologies, Vol. 15, No. 5, p. 554-566. IF=4.433 DOI: https://doi.org/10.1109/TLT.2022.3207226
  5. Leonie Disch, Angela Fessl & Viktoria Pammer-Schindler. Designing for Knowledge Construction to Facilitate the Uptake of Open Science: Laying out the Design Space. ACM Conf. on Human-Computer Interaction, 2022 (CHI 2022). A* Conference
  6. Viktoria Pammer-Schindler & Michael Prilla (2021). The Reflection Object: An Activity-Theory Informed Concept for Designing for Reflection. Interacting with Computers. IF=1.174
  7. Viktoria Pammer-Schindler & Carolyn Rosé (2021). Data-Related Ethics Issues in Technologies for Informal Professional Learning. International Journal of Artificial Intelligence in Education. Q1 / IF=4.08 DOI:https://doi.org/10.1007/s40593-021-00259-x
  8. Carla Barreiros, Viktoria Pammer-Schindler & Eduardo Veas. Planting the Seed of Positive Human-IoT Interaction. International Journal of Human-Computer Interaction, Taylor & Francis, 2019, IF=1.354
  9. Veronica Rivera-Pelayo, Angela Fessl, Lars Müller, Viktoria Pammer. Introducing Mood Self-Tracking at Work: Empirical Insights from Call Centers. ACM Trans. Comput.-Hum. Interact., ACM, 2017, 24, 3:1-3:28. IF=1.293 DOI: https://doi.org/10.1145/3014058
  10. Angela Fessl, Gudrun Wesiak, Veronica Rivera-Pelayo, Sandra Feyertag, Viktoria Pammer. In-app Reflection Guidance: Lessons Learned across Four Field Trials at the Workplace. IEEE Transactions on Learning Technologies, Vol 10/4, pp 488-501, 2017. DOI: https://doi.org/10.1109/TLT.2017.2708097  IF=2,267

Full list of Publications

See also my research profiles at Google Scholar, at ResearchGate, and my OrcID.

List of Invited Talks

CV:

Short CV from November 2023.

Contact: