Game-based learning environments are designed to provide effective and engaging
learning experiences for students. Predictive student models use trace data extracted from …

Computational Thinking (CT) and creativity are considered two vital skills for the 21st century
that should be incorporated into future curricula around the world. We studied the …

Game‐based learning environments hold significant promise for facilitating learning
experiences that are both effective and engaging. To support individualised learning and …

Creativity and Computational Thinking (CT) have been both extensively researched in
recent years. However, the associations between them are still not fully understood despite …

This work piloted an international replication and generalization study on an existing
prediction model called PreSS. PreSS has been developed and validated over nearly two …

Feedback is important to improve writing quality; however, to provide timely and
personalized feedback is a time-intensive task. Currently, most literature focuses on …

Student modeling sits at the epicenter of adaptive learning technology. In contrast to the
voluminous work on student modeling for well-defined domains such as algebra, there has …

Nowadays, there is an increasing interest in using different technologies, such as
educational robotics in classrooms. However, in many cases, teachers have neither the …

Educational robotics has proven its positive impact on the performances and attitudes of
students. However, the educational environments that employ them rarely provide teachers …

As students learn how to program, both their programming code and their understanding of it
evolves over time. In this work, we present a general data-driven approach, named …