A Pedagogy-driven Personalization Framework to Support Adaptive Learning Experiences

The creation of personalized learning experiences is considered as a necessity to cope with the overwhelming amount of available learning material. This paper presents a personalization framework and an algorithm that allows for the creation of pedagogically sound learning experiences taking into account the variety of the Learners and their individual needs.

• Type: Conference
• Year: 2007
• Where: ICALT
• Authors: Polyxeni Arapi, Nektarios Moumoutzis, Manolis Mylonakis, Stavros Christodoulakis
• Keywords: ICALT 2007, Learning Experiences, Machine Learning, Personalized Learning Experiences, Sound Learning Experiences