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A Framework for Personalised Learning-Plan Recommendations in Game-Based Learning


Ioana Hulpus, Conor Hayes, Manuel Fradinho

Publication Type: 
Book Chapter
Personalised recommender systems receive growing attention from researchers of technology enhanced learning. The learning domain has a great need for personalisation as there is a general consensus that instructional material should be adapted to the knowledge, needs and abilities of learners. At the same time, the increase in the interest in game-based learning opens great opportunities for learning material personalisation, due to the complexity of life situations that can be simulated in serious games environments.
Publication Date: 
Research Group: 
National University of Ireland, Galway (NUIG)
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