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A Personal Learning Apprentice
TLDR
Personalized knowledge-based systems have not yet become widespread, despite their potential for valuable assistance in many daily tasks. Expand
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Usability in e-Learning Platforms : heuristics comparison between Moodle , Sakai and dotLRN
Recently, educational institutions largely adopted open source elearning platforms. Several studies and comparisons between those platforms were conducted. However, these analyses were more focusedExpand
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samap: An user-oriented adaptive system for planning tourist visits
TLDR
We present samap, whose goal is to build a software tool to help different people visit different cities. Expand
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Integration of Educational Specifications and Standards to Support Adaptive Learning Scenarios in ADAPTAPlan
TLDR
ADAPTAPlan project provides dynamic assistance for reducing authors’ effort in developing instructional design tasks using user modelling, planning and machine learning techniques and making a pervasive use of educational specifications and standards. Expand
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Using Learning Design to Support Design and Runtime Adaptation
TLDR
The objective of this chapter was to outline the role of LD in a framework for an e-learning environment which integrates new methods and services for active and adaptive e- learning. Expand
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Application of machine learning techniques to analyse student interactions and improve the collaboration process
TLDR
This research studied two approaches that use machine learning techniques to analyse student collaboration in a long-term collaborative learning experience during the academic years 2006-2007, 2007-2008 and 2008-2009. Expand
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Content-free collaborative learning modeling using data mining
TLDR
Modeling user behavior (user modeling) via data mining faces a critical unresolved issue: how to build a collaboration model based on frequent analysis of students in order to ascertain whether collaboration has taken place. Expand
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An Evaluation of Mouse and Keyboard Interaction Indicators towards Non-intrusive and Low Cost Affective Modeling in an Educational Context
TLDR
We propose a series of indicators, which derive from user's interactions with mouse and keyboard. Expand
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Extending web-based educational systems with personalised support through User Centred Designed recommendations along the e-learning life cycle
TLDR
We provide an educational-oriented approach for building personalised e-learning environments that focuses on putting the learners' needs in the centre of the development process. Expand
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Affective issues in Semantic Educational Recommender Systems
TLDR
We discuss the benefits of considering affective issues in educational recommender systems and describe the extension of the Semantic Educational Recommender Systems (SERS) approach, which is characterized by its interoperability with e-learning services, to deal with learners’ affective traits in educational scenarios. Expand
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