Ramón Zatarain

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Maya Satratzemi

University of Macedonia

Ioannis Kazanidis

Democritus University of Thrace

JORGE FERNANDO ZAPATA DUQUE

Universidad de Antioquia

Ivan Madjarov

Aix-Marseille University

Oguzhan Topsakal

Hubert Vogten

Open University The Netherlands

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Papers by Ramón Zatarain

Authoring Learning Objects for Web-Based Intelligent Tutoring Systems

Lecture Notes in Computer Science, 2008

This paper is about an author tool that can be used to produce learning objects for WEB-based int... more This paper is about an author tool that can be used to produce learning objects for WEB-based intelligent tutoring systems. The learning objects are oriented to different competency-based courses that are taught in technical high schools in México under a norm of competency-based education. The norms have a defined structure which is convenient to plan, evaluate and organize the courses. The author tool has three main components: an editor of learning objects for rapid creation of web-classroom applications; a player for displaying learning objects in a convenient interface; and an intelligent tutoring module for adding adaptation features to learning objects. The author tool allows including different evaluations and later storing the learning objects under the SCORM standard. Right now the software has been used to produce basic courses for a high-school technical level and we are working in the implementation of the intelligent tutoring module.

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A Talent Management Model for Innovation and Competitiveness in Complex Domains: A Case Study in the Latin American Energy Sector

Companies require highly qualified electricians because they have to be competitive in a globaliz... more Companies require highly qualified electricians because they have to be competitive in a globalized world and a changing environment. Additionally, they have to face the generational change, since knowledgeable personnel is in the retirement process, and new human resources have to be trained to get the required competencies: knowledge, skills, and attitudes. Talent management is concerned with employee recruitment, development, and administration, and suggests the integration of learning as a fundament for talent management strategies. We have developed a training model, which provides online and personalized instruction within the talent management framework based on three axes: knowledge, skills, and attitudes. The training model aims to complement traditional training with computer-based training. An important aspect of the model is an intelligent training system. This intelligent system adapts the instruction relying on a trainee model, which represents the state of the trainee...

Applying Intelligent Systems for Modeling Students' Learning Styles Used for Mobile and Web-Based Systems

Soft Computing for …, 2011

... Systems Ramón Zatarain1, Lucia Barrón-Estrada1, Carlos Alberto Reyes-García2, and Orion Faust... more

Authoring Mobile Intelligent Tutoring Systems

Intelligent Tutoring …, 2008

Abstract. Tailoring material to the individual learner for delivery on handheld computers represe... more

Authoring Neuro-fuzzy Tutoring Systems for M and E-Learning

MICAI 2008: Advances …, 2008

A. Gelbukh and EF Morales (Eds.): MICAI 2008, LNAI 5317, pp. 789796, 2008. İ Springer-Verlag Ber... more

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L2Code: An Author Environment for Hybrid and Personalized Programming Learning

Lecture Notes in Computer Science, 2008

L2Code is an Intelligent Tutoring System used for teaching programming courses for different para... more L2Code is an Intelligent Tutoring System used for teaching programming courses for different paradigms under a hybrid or blinded environment. It was designed and implemented to work with diverse types of modules oriented to certain ways of learning using principles of Multiple Intelligences. The author tool facilitates the creation of adaptive or personalized learning material to be used in multiple-paradigm programming language courses applying an artificial intelligence approach. The Tutoring System works with a predictive engine that uses a Naive Bayes classifier which operates in real time with the knowledge of the historical performance of the student. We show results of the tool.

Ambiente inteligente y afectivo de aprendizaje para compiladores

Research in Computing Science

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Modeling student's learning styles in web 2.0 learning systems

by Science Park Research Organization & Counselling and Ramón Zatarain

The identification of the best learning style in an Intelligent Tutoring System must be considere... more The identification of the best learning style in an Intelligent Tutoring System must be considered essential as part of the success in the teaching process. In many implementations of automatic classifiers finding the right student learning style represents the hardest assignment. The reason is that most of the techniques work using expert groups or a set of questionnaires which define how the learning styles are assigned to students. This paper presents a novel approach for automatic learning styles classification using a Kohonen network. The approach is used by an author tool for building Intelligent Tutoring Systems running under a Web 2.0 collaborative learning platform. The tutoring systems together with the neural network can also be exported to mobile devices. We present different results to the approach working under the author tool.

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Authoring Learning Objects for Web-Based Intelligent Tutoring Systems

Lecture Notes in Computer Science, 2008

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A Talent Management Model for Innovation and Competitiveness in Complex Domains: A Case Study in the Latin American Energy Sector

Applying Intelligent Systems for Modeling Students' Learning Styles Used for Mobile and Web-Based Systems

Soft Computing for …, 2011

... Systems Ramón Zatarain1, Lucia Barrón-Estrada1, Carlos Alberto Reyes-García2, and Orion Faust... more

Authoring Mobile Intelligent Tutoring Systems

Intelligent Tutoring …, 2008

Abstract. Tailoring material to the individual learner for delivery on handheld computers represe... more

Authoring Neuro-fuzzy Tutoring Systems for M and E-Learning

MICAI 2008: Advances …, 2008

A. Gelbukh and EF Morales (Eds.): MICAI 2008, LNAI 5317, pp. 789796, 2008. İ Springer-Verlag Ber... more

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L2Code: An Author Environment for Hybrid and Personalized Programming Learning

Lecture Notes in Computer Science, 2008

Ambiente inteligente y afectivo de aprendizaje para compiladores

Research in Computing Science

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Modeling student's learning styles in web 2.0 learning systems

by Science Park Research Organization & Counselling and Ramón Zatarain

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