Learner modeling is a basis of personalized, adaptive learning. The research literature
provides a wide range of modeling approaches, but it does not provide guidance for …

Recent studies indicate that math anxiety (MA) can already be found in school-aged
children. As early MA depicts a potential risk for developing severe mathematical difficulties …

Hybrid systems combining artificial and human intelligence hold great promise for training
human skills. In this paper, I position the concept of Hybrid Human-AI Regulation and …

For the training of academic skills, digital educational games with integrated adaptivity are
promising. Adaptive games are considered superior to non‐adaptive games, because they …

The Elo rating system was originally developed for rating chess players, nowadays it is
widely used for ranking players of many other games. The system can be used in …

It was investigated whether children would experience less math anxiety and feel more
competent when they, independent of ability level, experienced high success rates in math …

This article provides a comprehensive overview of artificial intelligence (AI) for serious
games. Reporting about the work of a European flagship project on serious game …

Adaptive learning systems aim to provide learning items tailored to the behavior and needs
of individual learners. However, one of the outstanding challenges in adaptive item selection …

In this paper, we present the first meta-analysis of the efficacy of game-based interventions
on reducing students' levels of maths anxiety. After searching for randomised studies …

Computer games that adaptively adjust difficulty are used to continuously challenge players
according to their abilities. The adjustment of difficulty occurs automatically in response to a …