- Assessment communities of practice data publishing distance education Distance Learning E-learning higher education improvement of the school unit Learning Analytics learning objects learning outcomes Lifelong learning MOOC Moodle ontologies Ontology Open and Distance Learning Personalized Learning programming languages Semantics Social Semantic Web stereotypes εξ αποστάσεως εκπαίδευση οντολογίες
2013 |
Stefani, Antonia; Vasileiadis, Vasileios A Web Metrics quality evaluation framework for e- commerce systems Journal Article Computer Standards and Interfaces Journal, 2013. Abstract | BibTeX | Ετικέτες: E-commerce, evaluation framework, ISO 9126, Ontology, quality attributes, taxonomy, web metrics @article{645, title = {A Web Metrics quality evaluation framework for e- commerce systems}, author = {Antonia Stefani and Vasileios Vasileiadis}, year = {2013}, date = {2013-01-01}, journal = {Computer Standards and Interfaces Journal}, abstract = { E-commerce B2C systems are diverse and their quality is difficult to be measured without a concrete methodology. In this paper we present a B2C-specific quality evaluation framework for web metrics that helps understand what needs to be measured and how. The framework uses three dimensions based on end-user interaction categories, metrics internal specs and quality sub-characteristics as defined of ISO9126. Beginning from the existing large corpus of general-purpose web metrics, specific metrics used for quality evaluation of ecommerce systems are chosen and categorized. Analysis results are subjected to a data mining analysis in order to provide association rules between the various dimensions of the framework. Finally, an ontology that corresponds to the framework is developed to answer to complicated questions related to metrics use and to facilitate the production of new, user-defined meta-metrics . },keywords = {E-commerce, evaluation framework, ISO 9126, Ontology, quality attributes, taxonomy, web metrics}, pubstate = {published}, tppubtype = {article} } <p style="text-align: justify;">E-commerce B2C systems are diverse and their quality is difficult to be measured without a concrete methodology. In this paper we present a B2C-specific quality evaluation framework for web metrics that helps understand what needs to be measured and how. The framework uses three dimensions based on end-user interaction categories, metrics internal specs and quality sub-characteristics as defined of ISO9126. Beginning from the existing large corpus of general-purpose web metrics, specific metrics used for quality evaluation of ecommerce systems are chosen and categorized. Analysis results are subjected to a data mining analysis in order to provide association rules between the various dimensions of the framework. Finally, an ontology that corresponds to the framework is developed to answer to complicated questions related to metrics use and to facilitate the production of new, user-defined meta-metrics .</p> |
2012 |
Panagiotopoulos, Ioannis; Kalou, Aikaterini; Pierrakeas, Christos; Kameas, Achilles Springer Berlin Heidelberg, Halkidiki, Greece, IFIP AICT 381 , 2012. Abstract | Links | BibTeX | Ετικέτες: intelligent tutoring systems, Ontology, Personalized Learning, stereotypes, student model @proceedings{Panagiotopoulos2012b, title = {An Ontology-Based Model for Student Representation in Intelligent Tutoring Systems for Distance Learning}, author = {Ioannis Panagiotopoulos and Aikaterini Kalou and Christos Pierrakeas and Achilles Kameas}, url = {http://link.springer.com/chapter/10.1007/978-3-642-33409-2_31 http://eeyem.eap.gr/wp-content/uploads/2017/06/12_AIAI2012.pdf}, year = {2012}, date = {2012-05-08}, journal = {8th Artificial Intelligence Applications and Innovations (AIAI 2012).}, volume = {IFIP AICT 381}, publisher = {Springer Berlin Heidelberg}, address = {Halkidiki, Greece}, abstract = {An Intelligent Tutoring System (ITS) offers personalized education to each student in accordance with his/her learning preferences and his/her background. One of the most fundamental components of an ITS is the student model, that contains all the information about a student such as demographic information, learning style and academic performance. This information enables the system to be fully adapted to the student. Our research work intends to propose a student model and enhance it with semantics by developing (or via) an ontology in order to be exploitable effectively within an ITS, for example as a domain-independent vocabulary for the communication between intelligent agents. The ontology schema consists of two main taxonomies: (a) student’s academic information and (b) student’s personal information. The characteristics of the student that have been included in the student model ontology were derived from an empirical study on a sample of students.}, keywords = {intelligent tutoring systems, Ontology, Personalized Learning, stereotypes, student model}, pubstate = {published}, tppubtype = {proceedings} } An Intelligent Tutoring System (ITS) offers personalized education to each student in accordance with his/her learning preferences and his/her background. One of the most fundamental components of an ITS is the student model, that contains all the information about a student such as demographic information, learning style and academic performance. This information enables the system to be fully adapted to the student. Our research work intends to propose a student model and enhance it with semantics by developing (or via) an ontology in order to be exploitable effectively within an ITS, for example as a domain-independent vocabulary for the communication between intelligent agents. The ontology schema consists of two main taxonomies: (a) student’s academic information and (b) student’s personal information. The characteristics of the student that have been included in the student model ontology were derived from an empirical study on a sample of students. |
Panagiotopoulos, Ioannis; Kalou, Aikaterini; Pierrakeas, Christos; Kameas, Achilles Adult Student Modeling for Intelligent Distance Learning Systems Proceeding Halkidiki, Greece, 2012. Abstract | Links | BibTeX | Ετικέτες: intelligent tutoring systems, Learner Model, Ontology, Personalized Learning, stereotypes @proceedings{Panagiotopoulos2012b, title = {Adult Student Modeling for Intelligent Distance Learning Systems}, author = {Ioannis Panagiotopoulos and Aikaterini Kalou and Christos Pierrakeas and Achilles Kameas}, url = {http://eeyem.eap.gr/wp-content/uploads/2017/06/17_eiseec_2013.pdf}, year = {2012}, date = {2012-04-11}, journal = {Special Issue on AIAI 2012 of the International Journal of Engineering Intelligent Systems for Electrical Engineering and Communications (EISEEC)}, address = {Halkidiki, Greece}, abstract = {One of the most important components in a learning support system is the learner model, as it contains useful information about an individual such as learning preferences and academic performance. The goal of the research presented in this paper is to define how a learner model can be distributed with the help of semantic web technologies, based on stereotypes as a useful mechanism for the initialization of an intelligent learning system. These stereotypes have been derived from an empirical study on a sample of adult learners at a distance learning University, while the proposed model also reflects features from several standards for a learner modeling. Finally, a web application is presented, in order to evaluate the learner model and test the automatic categorization of learners into stereotypes according to their basic characteristics.}, keywords = {intelligent tutoring systems, Learner Model, Ontology, Personalized Learning, stereotypes}, pubstate = {published}, tppubtype = {proceedings} } One of the most important components in a learning support system is the learner model, as it contains useful information about an individual such as learning preferences and academic performance. The goal of the research presented in this paper is to define how a learner model can be distributed with the help of semantic web technologies, based on stereotypes as a useful mechanism for the initialization of an intelligent learning system. These stereotypes have been derived from an empirical study on a sample of adult learners at a distance learning University, while the proposed model also reflects features from several standards for a learner modeling. Finally, a web application is presented, in order to evaluate the learner model and test the automatic categorization of learners into stereotypes according to their basic characteristics. |
Bagiampou, Maria; Kameas, Achilles Using Ontologies τo Design Competency-Based E-Learning Applications Proceeding Porto, Portugal, 2012. Abstract | Links | BibTeX | Ετικέτες: Competency, e-Learning., Formal Description of Learning Goals, Learning Goals, Ontology @proceedings{Bagiampou2012, title = {Using Ontologies τo Design Competency-Based E-Learning Applications}, author = {Maria Bagiampou and Achilles Kameas}, url = {http://eeyem.eap.gr/wp-content/uploads/2017/06/18.CSEDU-2012-paper.pdf}, year = {2012}, date = {2012-04-04}, journal = {4th International Conference on Computer Supported Education (CSEDU 2012)}, address = {Porto, Portugal}, abstract = {Lately, the approaches based on the concept of Competency are widely used in the field of Education as well as in the field of Human Resources Development. Competency Modeling is considered to be essential for any kind of Pedagogical Design within the area of e-Learning applications, adding to them several new possibilities. One of the most popular representations of competencies and learning goals (which are considered a kind of competency) is that of ontologies. This kind of representation allows processing by machines and their incorporation in e-learning applications. The present paper contains the presentation of an ontology-based model for the description of the learners’ competencies, created through the combination and the extension of three existing ones. The ontology that we describe, was created as part of an experimental e-learning application for the description and management of competencies, learning goals and learning material about a specific field of knowledge.}, keywords = {Competency, e-Learning., Formal Description of Learning Goals, Learning Goals, Ontology}, pubstate = {published}, tppubtype = {proceedings} } Lately, the approaches based on the concept of Competency are widely used in the field of Education as well as in the field of Human Resources Development. Competency Modeling is considered to be essential for any kind of Pedagogical Design within the area of e-Learning applications, adding to them several new possibilities. One of the most popular representations of competencies and learning goals (which are considered a kind of competency) is that of ontologies. This kind of representation allows processing by machines and their incorporation in e-learning applications. The present paper contains the presentation of an ontology-based model for the description of the learners’ competencies, created through the combination and the extension of three existing ones. The ontology that we describe, was created as part of an experimental e-learning application for the description and management of competencies, learning goals and learning material about a specific field of knowledge. |
2010 |
Seremeti, Lambrini; Kameas, Achilles Tools for Ontology Engineering and Management Book Chapter Theory and Applications of Ontology, Volume II : Computer Applications , Springer Science+Business Media B.V. 2010, 2010, ISBN: 978-90-481-8843-7. Links | BibTeX | Ετικέτες: Applied ontology, Category theory, Computer science, Logical modelling, Ontology, Semantics @inbook{Seremeti2010, title = {Tools for Ontology Engineering and Management}, author = {Lambrini Seremeti and Achilles Kameas}, url = {http://eeyem.eap.gr/wp-content/uploads/2017/06/5.Tools-for-Ontology-Engineering-and-Management.pdf}, doi = {10.1007/978-90-481-8847-5_6}, isbn = {978-90-481-8843-7}, booktitle = {Theory and Applications of Ontology}, volume = {Volume II : Computer Applications}, publisher = {Springer Science+Business Media B.V. 2010}, keywords = {Applied ontology, Category theory, Computer science, Logical modelling, Ontology, Semantics}, pubstate = {published}, tppubtype = {inbook} } |