Antero Lindstedt

TL;DR: Using a machine learning approach on facial emotion detection data, it is substantiated that the emotionally engaging nature of games facilitates learning.

TL;DR: It is argued that research on flow should focus on the specific aspects related to the very nature of serious games that combine enjoyment and learning, and new methods to measure flow and analyse the data need to be developed and studied.

TL;DR: It is argued that game-based assessment can create a more complete picture of mathematical knowledge than simply measuring students' accuracy, providing indicators of student misconceptions and conceptual change processes.

TL;DR: The results of a game design process in which two prototypes of a collaborative exergame were studied showed that flow experience can be used to evaluate the overall quality of the gameplay and it provides a structured approach to consider the quality of it.

TL;DR: Results substantiate on a neurofunctional level that game-based learning leads to an invigoration of learning processes through processes of reward and emotional engagement.