User Models for Adaptive Hypermedia and Adaptive Educational Systems

By Peter Brusilovsky, Eva Millán. The Adaptive Web, 2007

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How researchers see this paper

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Enhancing the prediction of student performance based on the machine learning XGBoost algorithm (2021, background): “…suggest the best hypermedia contents and the relevant multimedia resources to the student, and consequently, hide the content that can be very easy or highly complicated for him ((De Vrieze et al., 2005), (Brusilovsky & Millán, 2007), (Chrysa ﬁ adi & Virvou, 2015), and (Chrysa ﬁ adi et al., 2020)).”
The development of intuitive knowledge classifier and the modeling of domain dependent data (2013, background): “In last 10 years, the studies about user modeling as an independent research subject have become one step forward of ITS studies [18,22,23].”
Student modeling approaches: A literature review for the last decade (2013, methodology): “…not know this element, while in its modern form, an overlay model represents the degree to which the user knows such a domain element by using a qualitative measure (good–average–poor) or a qualitative measure such as the probability that the student knows the concept (Brusilovsky & Millán, 2007).”
Context-Aware Recommender Systems for Learning: A Survey and Future Challenges (2012, background): “Goal hierarchies have been proposed that decompose higher level goals in subgoals [16].”