From understanding learners’ adaptive motivation and emotion to designing social learning companions

Photo by stem.T4L on Unsplash

Principal Investigators:

Rebecca Lazarides
Verena Hafner
Niels Pinkwart

Developing an approach integrating game- and agent-based Intelligent Tutoring Systems (ITS) and computational models to help optimize social learning situations

Research Unit 1, SCIoI Project 06

In this threefold project, we will firstly examine how novel user modelling approaches and feedback strategies in Intelligent Tutoring Systems (ITS) incorporating virtual agents can enhance positive emotions and motivation (self-regulation, goal orientations) and reduce negative emotions in social learning situations and how these approaches can be used to prevent inequalities in education.
We will also be exploring the (moderating and mediating) processes that underlie the relations between pedagogical agents’ ‘behaviors’ and learners’ performance by investigating psychological factors that strengthen or reduce the effects of ITS on learners’ motivation and emotions.
As a third and final objective, we intend to create a robotic learning companion that keeps an updated model/simulation of the learner and their current knowledge, motivational, and emotional state, acting accordingly.



Spatola, N., Chevalère, J., Lazarides, R. (in press)
“Humans vs. computer: What effect does the source of information have on cognitive performance and achievement goal orientation?”
Paladyn. Journal of Behavioral Robotics.

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