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A Personal Learning Apprentice
TLDR
The organization of CAP, its performance in initial field tests, and more general lessons learned from this effort about learning apprentice systems are described.
samap: An user-oriented adaptive system for planning tourist visits
TLDR
This tool integrates modules that dynamically capture user models, determine lists of activities that can provide more utility to a user given the past experience of the system with similar users, and generates plans that can be executed by the user.
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 focused
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 to suggest that collaboration can be analysed in this way.
Using Learning Design to Support Design and Runtime Adaptation
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. LD enables the
An Evaluation of Mouse and Keyboard Interaction Indicators towards Non-intrusive and Low Cost Affective Modeling in an Educational Context
TLDR
A series of indicators, which derive from user's interactions with mouse and keyboard, are proposed, to evaluate their use in identifying affective states and behavior changes in an e-learning platform by means of non-intrusive and low cost methods.
Extending web-based educational systems with personalised support through User Centred Designed recommendations along the e-learning life cycle
TLDR
An educational-oriented approach for building personalised e-learning environments that focuses on putting the learners' needs in the centre of the development process is provided.
A Data Mining Approach to Reveal Representative Collaboration Indicators in Open Collaboration Frameworks
TLDR
A scalable data mining method is developed, whose objective is to infer information on the collaboration during the collaboration process in a domain-independent way and to improve collaboration process management and learning in an open collaborative educational web environment.
Clustering learners according to their collaboration
TLDR
An inferring method, which uses statistical indicators of student interaction in forums and data mining technology, works to obtain information on student collaboration and groups students according to their level of collaboration.
Affective issues in Semantic Educational Recommender Systems
TLDR
The benefits of considering affective issues in educational recommender systems are discussed and 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 is described.
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