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Wizard user: um agente inteligene na otimização de processos de ensino-aprendizagem on-line
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Orientador(es)
Resumo(s)
A cada dia, a tecnologia nos oferece novas ferramentas que permitem dar mais significado ao processo educacional, sobremaneira às Tecnologias Cognitivas - capazes de interpretar, estruturar e cruzar dados, gerando predições a partir da análise de informações, além de realizar inferências automáticas na evolução da participação e aprendizado dos usuários. No e-learning, as ferramentas de acompanhamento evolutivo dos participantes são fundamentais no processo de ensino-aprendizagem. No contexto da pandemia do Covid-19, a implementação do ensino remoto, com a necessária realização de aulas por meios digitais, encontrou entre os principais desafios a falta de motivação dos alunos e o desconhecimento das ferramentas disponíveis por parte dos mediadores educacionais para que pudessem incentivar, motivar e facilitar o
processo educativo em cursos on-line. Contudo, reconhecemos as limitações de tempo desses profissionais e a urgência por parte dos alunos em receber as informações de forma rápida e assertiva. Este trabalho apresenta a proposta de um recurso de IA chamado Wizard User, cujo objetivo é facilitar o processo de mediação pedagógica e realizar ações automáticas, por meio de triggers que auxiliam o processo de ensino-aprendizagem, com uso da IA e técnicas de mineração de dados, permitindo a comparação do estudante com seus pares como elemento motivacional em cursos on-line. Ainda, neste trabalho, poderão ser encontrados detalhes do modelo sistêmico e os resultados alcançados com a experimentação do ecossistema, no curso de formação de desenvolvedores fullstack, com o acompanhamento realizado por meio de grupo controle, pelo
período de 6 meses.
Every day, technology offers us new tools that allow us to give more meaning to the educational process, especially Cognitive Technologies - capable of interpreting, structuring and crossing data, generating predictions from the analysis of information, in addition to making automatic inferences in the evolution of user participation and learning. In e-learning, tools for monitoring participants' progress are fundamental in the teaching-learning process. In the context of the Covid-19 pandemic, the implementation of remote teaching, with the need to carry out classes using digital means, found among the main challenges the lack of motivation of students and the lack of knowledge available on the part of educational mediators so that encouraged, motivated and facilitated the educational process in on-line courses. However, we recognize the time limitations of these professionals and the urgency on the part of students to receive information quickly and assertively. This work presents the proposal for an artificial intelligence resource called Wizard User, whose objective is to facilitate the pedagogical mediation process and carry out automatic actions, through triggers that assist the learning process, using artificial intelligence and data mining techniques. Data mining, allowing students to compare themselves with their peers as a motivational element in on-line courses. Also in this work, details of the systemic model and the results achieved with experimentation with the ecosystem will be found, in the training course for fullstack developers, with monitoring carried out through a control group, for a period of 6 months.
Every day, technology offers us new tools that allow us to give more meaning to the educational process, especially Cognitive Technologies - capable of interpreting, structuring and crossing data, generating predictions from the analysis of information, in addition to making automatic inferences in the evolution of user participation and learning. In e-learning, tools for monitoring participants' progress are fundamental in the teaching-learning process. In the context of the Covid-19 pandemic, the implementation of remote teaching, with the need to carry out classes using digital means, found among the main challenges the lack of motivation of students and the lack of knowledge available on the part of educational mediators so that encouraged, motivated and facilitated the educational process in on-line courses. However, we recognize the time limitations of these professionals and the urgency on the part of students to receive information quickly and assertively. This work presents the proposal for an artificial intelligence resource called Wizard User, whose objective is to facilitate the pedagogical mediation process and carry out automatic actions, through triggers that assist the learning process, using artificial intelligence and data mining techniques. Data mining, allowing students to compare themselves with their peers as a motivational element in on-line courses. Also in this work, details of the systemic model and the results achieved with experimentation with the ecosystem will be found, in the training course for fullstack developers, with monitoring carried out through a control group, for a period of 6 months.
Descrição
Doutoramento em Ciência e Tecnologia Web em associação com a Universidade de Trás-os-Montes e Alto Douro, apresentada à Universidade Aberta
Palavras-chave
Tecnologia cognitiva Wizard User Mineração de dados Ensino-aprendizagem COVID-19 Inteligência artificial Cognitive technology Educational technology Teaching-learning Data mining Artificial intelligence