Non-digital game-based learning :

The rationale for this is that because games are engaging and motivational, students will be encouraged to learn programming constructs in an entertaining and potentially

Reinforcement learning (RL) is a machine learning approach where an agent can learn to map an action to a state in an environment in order to maximise the cumula- tive reward [11]..

The outcome is described in the form of a framework that explains how to consider different perspectives, such as the DBL process, the role of the teacher, the use of

The simulation is the same as the game and contains the same educational materials, but it lacks an explicit game goal: the learners acquire a mental model of the beer production

In the context of intelligent digital learning, we propose an agent - based recommender system that aims to help learners overcome their gaps by suggesting relevant

As opposed to most log data from educational video games that consists of only summary information about student performance, such as the number of correct solutions

This paper builds on earlier frameworks outlining the affordances of commercial game design conventions for learning by propos- ing three design principles to help

The DBpedia project [2] - as part of the Linking Open Data project - extracts structured data from Wikipedia and pub- lishes them as Linked Data.. The knowledge extraction is