Rosa Vicari | Universidade Federal do Rio Grande do Sul (original) (raw)

Papers by Rosa Vicari

Anais Dos Workshops Do Congresso Brasileiro De Informatica Na Educacao, 2013

The article shows the development and evaluation of Learning Styles Fuzzy Questionnaire — FuzzyIL... more The article shows the development and evaluation of Learning Styles Fuzzy Questionnaire — FuzzyILS, based on Felder and Silverman Learning Style Model and as an alternative fuzzy to ILS Questionnaire (test) created by Felder and Soloman. The proposal came from author's previous works, where they created a method for developing Learning Objects appropriate to the students' learning styles, and where students raised the limitation of dichotomous responses in the ILS. The FuzzyILS has 5 options for each question, and these responses valuation is performed and the degrees of values membership in Learning Styles Dimentions fuzzy set. Finally, the work shows the FuzzyILS assessment, conducted with 132 persons in 5 universities to Venezuela and Brazil.

IFIP — The International Federation for Information Processing, 2005

Many people have been working hard to produce metadata specification towards a construction of Le... more Many people have been working hard to produce metadata specification towards a construction of Learning Objects in order to improve efficiency, efficacy and reusability of learning content based on an Object Oriented design paradigm. The possibility of reusing learning material is very important to designing learning environments for real-life learning. At the same time, many researchers on IntelHgent Learning Environments have proposed the use of Artificial Intelligence through architectures based on agent societies. Teaching systems based on Multi-Agent architectures make it possible to support the development of more interactive and adaptable systems. This paper proposes an agent-based approach to produce more intelligent learning objects (ILO) according to the FIPA agent architecture reference model and the LOM/IEEE 1484 learning object specification.

Intelligent Decision Technologies, 2010

This paper addresses collaborative learning in the medical domain, focusing on the evaluation of ... more This paper addresses collaborative learning in the medical domain, focusing on the evaluation of a component specially devised to promote collaborative learning using the AMPLIA system. AMPLIA is an intelligent multi-agent environment that supports diagnostic reasoning and the modeling of diagnostic hypotheses in the medical domain. Recently it has been extended with a new component providing aid on workgroup formation. Workgroups are built considering the individual aspects of students as the learning style, performance, affective state, personality traits, and also group aspects such as acceptance and social skills. This paper presents and discusses the results of an experiment evaluating the quality of workgroups that was composed according to suggestions provided by the system.

Objects with teachers co-authoring, due to a necessity of digital educational material for aiding... more Objects with teachers co-authoring, due to a necessity of digital educational material for aiding learning process. Learning objects are digital resources that can be used on pedagogical praxis to aid on learning. They are characterized by, among others, being reutilizable and accessed anytime and anywhere.

Through Artificial Intelligence, one may develop systems that improve the quality of medical diag... more Through Artificial Intelligence, one may develop systems that improve the quality of medical diagnostics, decreasing time necessary for the diagnostic accomplishment and reducing costs of sophisticated examination. This paper presents an outline of the uncertainty knowledge representation techniques, as well as a description of products developed in SEAMED/UFRGS project. Yet, comments about the use of this technology and how it may promote a higher quality of life and social balance are exposed.

Nowadays web learning environments are being widely used both in distance and non-distance learni... more Nowadays web learning environments are being widely used both in distance and non-distance learning activitites. This condition creates new demands for the teacher that now needs to follow the students learning process inside virtual environments. It is widely accepted that mediation is a fundamental part of any educational process. Good teachers perform skillful mediation techniques that generally ensure good and

Resumo. Este trabalho aborda a questão da modelagem dos agentes inteligentes no AMPLIA, um ambien... more Resumo. Este trabalho aborda a questão da modelagem dos agentes inteligentes no AMPLIA, um ambiente de aprendizagem que utiliza redes bayesianas para a representação do conhecimento. São discutidas as características dos alunos e dos agentes do ponto de vista da teoria construtivista levando em conta diferentes parâmetros que são considerados para uma negociação pedagógica. Atenção especial é dada a modelagem

AMPLIA is an Intelligent Learning Multi-Agent Environment. It is designed to support training of ... more AMPLIA is an Intelligent Learning Multi-Agent Environment. It is designed to support training of diagnostic reasoning and modeling of domains with complex and uncertain knowledge. AMPLIA focuses on the medical area, where learner's modeling tasks will consist of creating a Bayesian network for a problem the system will present. A pedagogic negotiation process (managed by an intelligent Mediator Agent) will

International Journal of Artificial Intelligence in Education, 2008

ABSTRACT This paper introduces AMPLIA, an intelligent learning environment employed as a resource... more ABSTRACT This paper introduces AMPLIA, an intelligent learning environment employed as a resource in medical students' training. The development of AMPLIA raised several research topics, due to the convergence of Artificial Intelligence (AI) and Learning Environments. The core topics are: probabilistic diagnostic learning in the medical area, application of teaching strategies based on Pedagogical Negotiation (PN), construction of cognitive student models with probabilistic beliefs, and application of interoperability methods for pedagogical agents, and tutoring systems integration. An important aspect of AMPLIA is the utilization of PN as the main form of interaction. The impact of this approach on the system dynamics and on the student's learning is presented in detail. Considering the importance of cooperative work during the learning process, we describe how AMPLIA is used to enable cooperation. The description is based on experiments carried out with AMPLIA and its users. The main results of these experiments are reported as well.

IFIP WG8.3 Publications, 2008

This paper addresses collaborative learning in the medical domain. In particular, it focuses on t... more This paper addresses collaborative learning in the medical domain. In particular, it focuses on the evaluation of a component specially devised to promote collaborative learning using AMPLIA. AMPLIA is an intelligent multi-agent environment to support diagnostic reasoning and the modeling of diagnostic hypotheses in domains with complex and uncertain knowledge, such as the medical domain. Recently, AMPLIA has been extended with a new component providing support in workgroup formation. Workgroups are proposed based on individual aspects of the students, such as learning style,

Lecture Notes in Computer Science, 2002

Over the last years, many organizations started to use Distance Teaching tools as instruments in ... more Over the last years, many organizations started to use Distance Teaching tools as instruments in employees' qualification programs, creating what we may call E-learning or Virtual Training in Human Resources Development Programs. However, usually these organizations tend to use technological resources already available, and do not shape their technological platform into a pedagogical project. Recent advances in the field of Intelligent Teaching Systems have proposed the use of Artificial Intelligence through architectures based on agents' societies. Teaching systems based on Multi-Agent architectures make possible to support the development of more interactive and adaptable systems. The objective of the paper is to discuss the feasibility of implementing Distributed Intelligent Learning Environment -DILE based on the Multi-Agents Architecture approach, aiming at the achievement of human resources qualification through Virtual Training. Besides, we present a proposal of an architecture named JADE -Java Agent Framework for Distance Learning Environments.

IEEE Latin America Transactions, 2006

This article describes an approach to distance learning based on beliefs of Self-Efficacy monitor... more This article describes an approach to distance learning based on beliefs of Self-Efficacy monitored by a fuzzy agent. More precisely, we propose an adaptable agent that takes part in InteliWeb, a learning environment over the Web that manages the student model taking into account the inferences associated to the beliefs of Self-Efficacy. Our research aims at a student model that

Lecture Notes in Computer Science, 2006

1 Universidade do Rio Grande do Sul, Instituto de Informática {francine, rosa}inf.ufrgs.br http:/... more 1 Universidade do Rio Grande do Sul, Instituto de Informática {francine, rosa}inf.ufrgs.br http://www.inf.ufrgs.br 2 Programa de Pós-Graduação em Informática na Educação Universidade do Rio Grande do Sul Porto Alegre, Brazil, CEP 91501-970 rverdin@inf.ufrgs.br ...

Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems - AAMAS '07, 2007

Page 1. An Ontology-Based Approach to Interoperability for Bayesian Agents Elder Rizzon Santos er... more Page 1. An Ontology-Based Approach to Interoperability for Bayesian Agents Elder Rizzon Santos ersantos@inf.ufrgs.br Moser Silva Fagundes msfagundes@inf.ufrgs. br Rosa Maria Vicari rosa@inf.ufrgs.br Instituto de Informática ...

IFIP International Federation for Information Processing, 2006

The reusability of learning material is based on three main features: modularity, discoverability... more The reusability of learning material is based on three main features: modularity, discoverability and interoperability. Several researchers on Intelligent Learning Environments have proposed the use of architectures based on agent societies. Learning systems based on Multi-Agent architectures support the development of more interactive and adaptable systems and the Learning Objects approach gives reusability. We proposed an approach where learning objects are built based on agent architectures. This paper discusses how the Intelligent Learning Objects approach can be used to improve the interoperability between learning objects and pedagogical agents.

2011 7th International Conference on Information Technology in Asia, 2011

This work presents a recommender infrastructure for educational material that is described with m... more This work presents a recommender infrastructure for educational material that is described with metadata. For its operation we propose the use of the OBAA standard, an extension to IEEE LOM that provides interoperability among hardware platforms. We also suggest the need in reusing the user profiles information that are available through FOAF metadata and extend them with personalized educational information. In order to test this infrastructure, we proposed Lassique, an application that makes reasoning over a metadata ontology to filter educational material suggested by a Collaborative Filtering Algorithm.

Lecture Notes in Computer Science, 2002

Over the last years, many organizations started to use Distance Teaching tools as instruments in ... more Over the last years, many organizations started to use Distance Teaching tools as instruments in employees' qualification programs, creating what we may call E-learning or Virtual Training in Human Resources Development Programs. However, usually these organizations tend to use technological resources already available, and do not shape their technological platform into a pedagogical project. Recent advances in the field of Intelligent Teaching Systems have proposed the use of Artificial Intelligence through architectures based on agents' societies. Teaching systems based on Multi-Agent architectures make possible to support the development of more interactive and adaptable systems. The objective of the paper is to discuss the feasibility of implementing Distributed Intelligent Learning Environment -DILE based on the Multi-Agents Architecture approach, aiming at the achievement of human resources qualification through Virtual Training. Besides, we present a proposal of an architecture named JADE -Java Agent Framework for Distance Learning Environments.

Proceedings of the first international joint conference on Autonomous agents and multiagent systems part 3 - AAMAS '02, 2002

This paper shows how to use a decision-theoretic task scheduler in order to automatically generat... more This paper shows how to use a decision-theoretic task scheduler in order to automatically generate efficient intention selection functions for BDI agent-oriented programming languages. We concentrate here on the particular extensions to a known BDI language called AgentSpeak(L) and its interpreter which were necessary so that the integration with a task scheduler was possible. The proposed language, called AgentSpeak(XL), has several other features which increase its usability; some of these are indicated briefly in this paper. We assess the extended language and its interpreter by means of a factory plant scenario where there is one mobile robot that is in charge of packing and storing items, besides other administrative and security tasks. This case study and its simulation results show that, in comparison to AgentSpeak(L), AgentSpeak(XL) provides much easier and efficient implementation of applications that require quantitative reasoning, or require specific control over intentions (e.g., for giving priority to certain tasks once they become intended).

Anais Dos Workshops Do Congresso Brasileiro De Informatica Na Educacao, 2013

The article shows the development and evaluation of Learning Styles Fuzzy Questionnaire — FuzzyIL... more The article shows the development and evaluation of Learning Styles Fuzzy Questionnaire — FuzzyILS, based on Felder and Silverman Learning Style Model and as an alternative fuzzy to ILS Questionnaire (test) created by Felder and Soloman. The proposal came from author's previous works, where they created a method for developing Learning Objects appropriate to the students' learning styles, and where students raised the limitation of dichotomous responses in the ILS. The FuzzyILS has 5 options for each question, and these responses valuation is performed and the degrees of values membership in Learning Styles Dimentions fuzzy set. Finally, the work shows the FuzzyILS assessment, conducted with 132 persons in 5 universities to Venezuela and Brazil.

IFIP — The International Federation for Information Processing, 2005

Many people have been working hard to produce metadata specification towards a construction of Le... more Many people have been working hard to produce metadata specification towards a construction of Learning Objects in order to improve efficiency, efficacy and reusability of learning content based on an Object Oriented design paradigm. The possibility of reusing learning material is very important to designing learning environments for real-life learning. At the same time, many researchers on IntelHgent Learning Environments have proposed the use of Artificial Intelligence through architectures based on agent societies. Teaching systems based on Multi-Agent architectures make it possible to support the development of more interactive and adaptable systems. This paper proposes an agent-based approach to produce more intelligent learning objects (ILO) according to the FIPA agent architecture reference model and the LOM/IEEE 1484 learning object specification.

Intelligent Decision Technologies, 2010

This paper addresses collaborative learning in the medical domain, focusing on the evaluation of ... more This paper addresses collaborative learning in the medical domain, focusing on the evaluation of a component specially devised to promote collaborative learning using the AMPLIA system. AMPLIA is an intelligent multi-agent environment that supports diagnostic reasoning and the modeling of diagnostic hypotheses in the medical domain. Recently it has been extended with a new component providing aid on workgroup formation. Workgroups are built considering the individual aspects of students as the learning style, performance, affective state, personality traits, and also group aspects such as acceptance and social skills. This paper presents and discusses the results of an experiment evaluating the quality of workgroups that was composed according to suggestions provided by the system.

Objects with teachers co-authoring, due to a necessity of digital educational material for aiding... more Objects with teachers co-authoring, due to a necessity of digital educational material for aiding learning process. Learning objects are digital resources that can be used on pedagogical praxis to aid on learning. They are characterized by, among others, being reutilizable and accessed anytime and anywhere.

Through Artificial Intelligence, one may develop systems that improve the quality of medical diag... more Through Artificial Intelligence, one may develop systems that improve the quality of medical diagnostics, decreasing time necessary for the diagnostic accomplishment and reducing costs of sophisticated examination. This paper presents an outline of the uncertainty knowledge representation techniques, as well as a description of products developed in SEAMED/UFRGS project. Yet, comments about the use of this technology and how it may promote a higher quality of life and social balance are exposed.

Nowadays web learning environments are being widely used both in distance and non-distance learni... more Nowadays web learning environments are being widely used both in distance and non-distance learning activitites. This condition creates new demands for the teacher that now needs to follow the students learning process inside virtual environments. It is widely accepted that mediation is a fundamental part of any educational process. Good teachers perform skillful mediation techniques that generally ensure good and

Resumo. Este trabalho aborda a questão da modelagem dos agentes inteligentes no AMPLIA, um ambien... more Resumo. Este trabalho aborda a questão da modelagem dos agentes inteligentes no AMPLIA, um ambiente de aprendizagem que utiliza redes bayesianas para a representação do conhecimento. São discutidas as características dos alunos e dos agentes do ponto de vista da teoria construtivista levando em conta diferentes parâmetros que são considerados para uma negociação pedagógica. Atenção especial é dada a modelagem

AMPLIA is an Intelligent Learning Multi-Agent Environment. It is designed to support training of ... more AMPLIA is an Intelligent Learning Multi-Agent Environment. It is designed to support training of diagnostic reasoning and modeling of domains with complex and uncertain knowledge. AMPLIA focuses on the medical area, where learner's modeling tasks will consist of creating a Bayesian network for a problem the system will present. A pedagogic negotiation process (managed by an intelligent Mediator Agent) will

International Journal of Artificial Intelligence in Education, 2008

ABSTRACT This paper introduces AMPLIA, an intelligent learning environment employed as a resource... more ABSTRACT This paper introduces AMPLIA, an intelligent learning environment employed as a resource in medical students' training. The development of AMPLIA raised several research topics, due to the convergence of Artificial Intelligence (AI) and Learning Environments. The core topics are: probabilistic diagnostic learning in the medical area, application of teaching strategies based on Pedagogical Negotiation (PN), construction of cognitive student models with probabilistic beliefs, and application of interoperability methods for pedagogical agents, and tutoring systems integration. An important aspect of AMPLIA is the utilization of PN as the main form of interaction. The impact of this approach on the system dynamics and on the student's learning is presented in detail. Considering the importance of cooperative work during the learning process, we describe how AMPLIA is used to enable cooperation. The description is based on experiments carried out with AMPLIA and its users. The main results of these experiments are reported as well.

IFIP WG8.3 Publications, 2008

This paper addresses collaborative learning in the medical domain. In particular, it focuses on t... more This paper addresses collaborative learning in the medical domain. In particular, it focuses on the evaluation of a component specially devised to promote collaborative learning using AMPLIA. AMPLIA is an intelligent multi-agent environment to support diagnostic reasoning and the modeling of diagnostic hypotheses in domains with complex and uncertain knowledge, such as the medical domain. Recently, AMPLIA has been extended with a new component providing support in workgroup formation. Workgroups are proposed based on individual aspects of the students, such as learning style,

Lecture Notes in Computer Science, 2002

Over the last years, many organizations started to use Distance Teaching tools as instruments in ... more Over the last years, many organizations started to use Distance Teaching tools as instruments in employees' qualification programs, creating what we may call E-learning or Virtual Training in Human Resources Development Programs. However, usually these organizations tend to use technological resources already available, and do not shape their technological platform into a pedagogical project. Recent advances in the field of Intelligent Teaching Systems have proposed the use of Artificial Intelligence through architectures based on agents' societies. Teaching systems based on Multi-Agent architectures make possible to support the development of more interactive and adaptable systems. The objective of the paper is to discuss the feasibility of implementing Distributed Intelligent Learning Environment -DILE based on the Multi-Agents Architecture approach, aiming at the achievement of human resources qualification through Virtual Training. Besides, we present a proposal of an architecture named JADE -Java Agent Framework for Distance Learning Environments.

IEEE Latin America Transactions, 2006

This article describes an approach to distance learning based on beliefs of Self-Efficacy monitor... more This article describes an approach to distance learning based on beliefs of Self-Efficacy monitored by a fuzzy agent. More precisely, we propose an adaptable agent that takes part in InteliWeb, a learning environment over the Web that manages the student model taking into account the inferences associated to the beliefs of Self-Efficacy. Our research aims at a student model that

Lecture Notes in Computer Science, 2006

1 Universidade do Rio Grande do Sul, Instituto de Informática {francine, rosa}inf.ufrgs.br http:/... more 1 Universidade do Rio Grande do Sul, Instituto de Informática {francine, rosa}inf.ufrgs.br http://www.inf.ufrgs.br 2 Programa de Pós-Graduação em Informática na Educação Universidade do Rio Grande do Sul Porto Alegre, Brazil, CEP 91501-970 rverdin@inf.ufrgs.br ...

Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems - AAMAS '07, 2007

Page 1. An Ontology-Based Approach to Interoperability for Bayesian Agents Elder Rizzon Santos er... more Page 1. An Ontology-Based Approach to Interoperability for Bayesian Agents Elder Rizzon Santos ersantos@inf.ufrgs.br Moser Silva Fagundes msfagundes@inf.ufrgs. br Rosa Maria Vicari rosa@inf.ufrgs.br Instituto de Informática ...

IFIP International Federation for Information Processing, 2006

The reusability of learning material is based on three main features: modularity, discoverability... more The reusability of learning material is based on three main features: modularity, discoverability and interoperability. Several researchers on Intelligent Learning Environments have proposed the use of architectures based on agent societies. Learning systems based on Multi-Agent architectures support the development of more interactive and adaptable systems and the Learning Objects approach gives reusability. We proposed an approach where learning objects are built based on agent architectures. This paper discusses how the Intelligent Learning Objects approach can be used to improve the interoperability between learning objects and pedagogical agents.

2011 7th International Conference on Information Technology in Asia, 2011

This work presents a recommender infrastructure for educational material that is described with m... more This work presents a recommender infrastructure for educational material that is described with metadata. For its operation we propose the use of the OBAA standard, an extension to IEEE LOM that provides interoperability among hardware platforms. We also suggest the need in reusing the user profiles information that are available through FOAF metadata and extend them with personalized educational information. In order to test this infrastructure, we proposed Lassique, an application that makes reasoning over a metadata ontology to filter educational material suggested by a Collaborative Filtering Algorithm.

Lecture Notes in Computer Science, 2002

Over the last years, many organizations started to use Distance Teaching tools as instruments in ... more Over the last years, many organizations started to use Distance Teaching tools as instruments in employees' qualification programs, creating what we may call E-learning or Virtual Training in Human Resources Development Programs. However, usually these organizations tend to use technological resources already available, and do not shape their technological platform into a pedagogical project. Recent advances in the field of Intelligent Teaching Systems have proposed the use of Artificial Intelligence through architectures based on agents' societies. Teaching systems based on Multi-Agent architectures make possible to support the development of more interactive and adaptable systems. The objective of the paper is to discuss the feasibility of implementing Distributed Intelligent Learning Environment -DILE based on the Multi-Agents Architecture approach, aiming at the achievement of human resources qualification through Virtual Training. Besides, we present a proposal of an architecture named JADE -Java Agent Framework for Distance Learning Environments.

Proceedings of the first international joint conference on Autonomous agents and multiagent systems part 3 - AAMAS '02, 2002

This paper shows how to use a decision-theoretic task scheduler in order to automatically generat... more This paper shows how to use a decision-theoretic task scheduler in order to automatically generate efficient intention selection functions for BDI agent-oriented programming languages. We concentrate here on the particular extensions to a known BDI language called AgentSpeak(L) and its interpreter which were necessary so that the integration with a task scheduler was possible. The proposed language, called AgentSpeak(XL), has several other features which increase its usability; some of these are indicated briefly in this paper. We assess the extended language and its interpreter by means of a factory plant scenario where there is one mobile robot that is in charge of packing and storing items, besides other administrative and security tasks. This case study and its simulation results show that, in comparison to AgentSpeak(L), AgentSpeak(XL) provides much easier and efficient implementation of applications that require quantitative reasoning, or require specific control over intentions (e.g., for giving priority to certain tasks once they become intended).