J. Boticario

Publications
Influence

C. L. Dent, J. Boticario, J. McDermott, Tom Michael Mitchell, David Zabowski
Computer Science
AAAI
12 July 1992

Personalized knowledge-based systems have not yet become widespread, despite their potential for valuable assistance in many daily tasks. Expand

Usability in e-Learning Platforms : heuristics comparison between Moodle , Sakai and dotLRN

L. Martin, D. R. Martínez, O. Revilla, M. J. Aguilar, O. Santos, J. Boticario
2008

Recently, educational institutions largely adopted open source elearning platforms. Several studies and comparisons between those platforms were conducted. However, these analyses were more focused… Expand

samap: An user-oriented adaptive system for planning tourist visits

Luis A. Castillo, E. Armengol, +6 authors D. Borrajo
Computer Science
Expert Syst. Appl.
1 February 2008

We present samap, whose goal is to build a software tool to help different people visit different cities. Expand

Integration of Educational Specifications and Standards to Support Adaptive Learning Scenarios in ADAPTAPlan

Silvia Baldiris, O. Santos, C. Barrera, J. Boticario, J. Velez, R. Fabregat
Computer Science
Int. J. Comput. Sci. Appl.
2008

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

Using Learning Design to Support Design and Runtime Adaptation

P. V. Rosmalen, J. Boticario
Computer Science
6 July 2005

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

Application of machine learning techniques to analyse student interactions and improve the collaboration process

Antonio R. Anaya, J. Boticario
Computer Science
Expert Syst. Appl.
1 February 2011

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

Content-free collaborative learning modeling using data mining

Antonio R. Anaya, J. Boticario
Computer Science
User Modeling and User-Adapted Interaction
1 April 2011

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

An Evaluation of Mouse and Keyboard Interaction Indicators towards Non-intrusive and Low Cost Affective Modeling in an Educational Context

Sergio Salmeron-Majadas, O. Santos, J. Boticario
Computer Science
KES
2014

We propose a series of indicators, which derive from user's interactions with mouse and keyboard. Expand

Extending web-based educational systems with personalised support through User Centred Designed recommendations along the e-learning life cycle

O. Santos, J. Boticario, D. Pérez
Computer Science
Sci. Comput. Program.
1 August 2014

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

Affective issues in Semantic Educational Recommender Systems

O. Santos, J. Boticario
Computer Science, Psychology
RecSysTEL@EC-TEL
2012

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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