This stress-sensitive pedagogical agent is based on the conversational agent Liza.
The functionality of the previous agent is extended by analysing the mental demand of the
user and adapting the learning situation accordingly through execution of coping strategies.
The availability of the wristband E4 from Empatica Inc. and a tablet pc with the iOS
operating system is essential for full usage.
Developed by Melanie Bleck — 2019
A pedagogical agent for learning the syntax of Java programming language. Synja is able to
explain 50 syntactical concepts and teach them by giving students different tasks to solve.
Developed by Johannes Grobelski — 2019
A conversational agent for improving human reasoning skills. Liza is able to hold conversations
with users to help them solve a small selection of well-studied reasoning problems.
Such a conversational agent allows a much more scalable and inexpensive approach for teaching
at least basic reasoning principles.
Developed by Laura Wartschinski — 2017
M. Bleck, N.-T. Le & N. Pinkwart (2020). Physiology-Aware Learning Analytics Using Pedagogical Agents. In Companion Proceedings 10th International Conference on Learning Analytics & Knowledge (LAK20).
Le, N. T. & Wartschinski, L. (2018). A Cognitive Assistant for improving human reasoning skills. Special Issue on Cognitive Assistants, International Journal of Human - Computer Studies, DOI: 10.1016/j.ijhcs.2018.02.005
L. Wartschinski, N.-T. Le, N. Pinkwart (2017). A Conversational Agent for the Improvement of Human Reasoning Skills. In: C. Igel et al. (Hrsg.): Bildungsräume, DeLFI 2017 - Die 15. e-Learning Fachtagung Informatik, Lecture Notes in Informatics (LNI), Gesellschaft für Informatik.