The iFaceMath project’s aim is to investigate the dynamics between situational emotions, motivation, and math task performance. Applying novel technology, primary school students’ emotions are detected by facial expressions while they are performing math tasks. We set two research questions: 1) What kind of emotions are detected during performing typical multiplication tasks and playing a math game, and do these emotions differ depending on the type of activity? 2) How do detected emotions, situational interest and math performance are related to each other during performing math tasks?

Experience Lab plans and carries out the data collection for the project as part of the larger project “iFeelMath” focusing on exploring students’ math anxiety, led by Prof. Johan Korhonen.