A Hypermedia-based Adaptive Educational System for Assisting Students in Systems and Information Technology Domain for Accountability

Vidal, Inés María González; Costa, Evandro de Barros; Silva, Leandro Dias da; Araújo, Fabrísia Ferreira de; Ferreira, Rafael

doi:10.1007/978-3-319-31307-8_28

Cited by 4 publications

(2 citation statements)

References 3 publications

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“…Over the years, several computational architectures have been proposed with the purpose of personalizing educational content. One worth mentioning is the architecture proposed by (Vidal, Costa, Silva, Araújo, & Ferreira, 2016), an adaptive hypermedia-based approach for assisting students to accomplish their activities in Accounting courses. Their approach takes into account a domain model, representing accounting knowledge, a student model that considers static and dynamic information, and an adaptive model which provides an adaptive navigation mechanism based on student model.…”

Section: Related Workmentioning

confidence: 99%

Using Learning Styles for Creating and Personalizing Educational Content in Ubiquitous Learning Environments

Araújo

Brant-Ribeiro

Ferreira

et al. 2020

RBIE

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The fact that people behave and learn in a different pace requires individual differences to be properly considered in the teaching/learning process. Among several cognitive theories that could be used for this purpose, a promising one is to explore the use of students' learning styles (LSs), with several research studies indicating that their use has positive impacts on learning outcomes. At the same time, Ubiquitous Learning Environments (ULEs) have the potential to make the multimedia authoring of Learning Objects (LOs) an automated process, resulting on even larger educational content repositories and increasing the need for more adequate presentation strategies to students. This article presents an approach for creating and personalizing LOs through a probabilistic proposal of the Felder and Silverman Learning Styles Model. A prototype of the proposed model was integrated into a ubiquitous educational platform and experimented in real settings. Results indicate the existence of correlations between different types of interactions carried out by students and their respective LSs.

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Section: Related Workmentioning

confidence: 99%

Using Learning Styles for Creating and Personalizing Educational Content in Ubiquitous Learning Environments

Araújo

Brant-Ribeiro

Ferreira

et al. 2020

RBIE

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“…Although they provide a graphical interface for content sequencing, it is still a manual task performed as many times as the desired number of sequencing. Vidal et al (2016) proposed an adaptive hypermedia-based approach for assisting students to accomplish their activities in Accounting courses. Their approach takes into consideration a domain model, representing accounting knowledge, a student model that considers static and dynamic information, and an adaptive model which provides an adaptive navigation mechanism based on student model.…”

Section: Related Workmentioning

confidence: 99%

Uma Arquitetura Computacional para Autoria e Personalização de Objetos de Aprendizagem em Ambientes Educacionais Ubíquos

Araújo¹

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Há alguns anos decidi abraçar o desafio de me tornar um professor e seguir a carreira acadêmica. Sim, um desafio para sair da zona de conforto para que eu pudesse aprender mais com o objetivo de transmitir o conhecimento a outras pessoas.Primeiramente, agradeço à Deus por me permitir trilhar esse caminho. Agradeço aos professores membros da banca de defesa por terem compartilhado sua experiência e precioso tempo ao ler e contribuir com este trabalho. Agradecimento especial ao meu orientador, Prof. Dr. Renan Cattelan, por suas horas dedicadas à reflexão, leitura, discussão e estímulo durante todo esse processo, bem como ao meu coorientador Prof. Dr. Fabiano Dorça.Sinceros agradecimentos a todos que me apoiaram e me encorajaram nessa árdua jornada: familiares, amigos próximos e aqueles não tão próximos, mas que certamente me enviaram boas energias. Sem vocês, eu tenho certeza que essa jornada teria sido muito mais difícil.Aos colegas de curso que caminharam juntos durante essa jornada de quatro anos, alguns há mais tempo, pelo apoio recíproco ao enfrentar os obstáculos.Aos amigos que fiz durante minha estadia na University of Pittsburgh, EUA. Em particular, ao Prof. Dr. Peter Brusilovsky por seus valiosos conselhos e ensinamentos e a todos os amigos do PAWS LAB com quem aprendi muito.Ao secretário do PPCGO/UFU e a todos os professores que desempenharam um papel chave na minha formação, cuja contribuição deve ser sempre reconhecida.Finalmente, agradeço às agências e instituições brasileiras de pesquisa, CAPES, CNPq e PPGCO/PROPP/UFU pelo apoio financeiro concedido durante a minha formação. "Look up at the stars and not down at your feet. Try to make sense of what you see, and wonder about what makes the universe exist. Be curious." (Stephen Hawking) foram encontradas no desempenho dos estudantes durante o período de personalização de conteúdo baseada em estilos de aprendizagem. Ainda, os recursos sociais e colaborativos foram os que mais despertaram atenção dos estudantes. Finalmente, um repositório de OAs com metadados no formato IEEE Learning Object Metadata (IEEE-LOM) gerados pela plataforma CX foi criado para a comunidade de pesquisa em Informática na Educação.

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Classroom eXperience: from automated multimedia capture to personalized learning

Cattelan,

Araújo,

Ferreira

et al. 2024

Multimed Tools Appl

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A Hypermedia-based Adaptive Educational System for Assisting Students in Systems and Information Technology Domain for Accountability

Cited by 4 publications

References 3 publications

Using Learning Styles for Creating and Personalizing Educational Content in Ubiquitous Learning Environments

Using Learning Styles for Creating and Personalizing Educational Content in Ubiquitous Learning Environments

Uma Arquitetura Computacional para Autoria e Personalização de Objetos de Aprendizagem em Ambientes Educacionais Ubíquos

Classroom eXperience: from automated multimedia capture to personalized learning

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