AGENTES INTELIGENTES PARA AMBIENTES VIRTUAIS DE ENSINO E APRENDIZAGEM: UMA REVISÃO SISTEMÁTICA

Sanval Ebert de Freitas Santos; Ingrid Winkler; Marcio Luís Valença  Araújo; Eduardo Manuel de Freitas Jorge; Aloisio Santos Nascimento  Filho; Hugo Saba

doi:10.15628/holos.2024.15584

Authors

Prof. Msc. Sanval Ebert de Freitas Santos Federal Institute of Bahia, Brazil https://orcid.org/0000-0003-3196-6468
Dr. Ingrid Winkler SENAI CIMATEC University Center, Brazil https://orcid.org/0000-0001-6505-6636
Prof. Dr. Marcio Luís Valença Araújo Federal Institute of Bahia, Brazil https://orcid.org/0000-0003-2376-0160
Prof. Dr. Eduardo Manuel de Freitas Jorge University of the state of Bahia https://orcid.org/0000-0002-8597-5805
Prof. Dr. Aloisio Santos Nascimento Filho SENAI CIMATEC University Center, Brazil https://orcid.org/0000-0002-5601-8459
Prof. Dr. Hugo Saba University of the state of Bahia https://orcid.org/0000-0001-8402-6416

DOI:

https://doi.org/10.15628/holos.2024.15584

Keywords:

intelligent agents, virtual environments, teaching and learning, artificial intelligence, Educational Technologies

Abstract

The application of intelligent agents in virtual teaching and learning environments began in the 1990s, when researchers began to explore the possibility of incorporating artificial intelligence technologies in educational software. In this context, this work aims to characterize the current knowledge about the use of intelligent agents in virtual teaching and learning environments. The methodology considered the formulation of guiding questions, selection of studies, evaluation, extraction, and analysis of data that pointed out how intelligent agents can be used in stages of the educational process. As results, it is noteworthy that the object of study has grown as an area of research in recent years. However, it is important to emphasize that the application of artificial intelligence techniques in education poses challenges, such as the need to integrate them with existing pedagogical practices, besides the concern with ethical and data privacy issues.

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Author Biographies

Prof. Msc. Sanval Ebert de Freitas Santos, Federal Institute of Bahia, Brazil

Scientist and Researcher in Education and Artificial Intelligence. Specialist in Networking, Cloud and Information Security and full-stack development. Master in Management, Technology and Education, and currently, doctoral candidate in Knowledge Diffusion - Computational Modeling. Specialist in educational technologies for high performance in teaching practice and student learning. #Coordinator of the bachelor's degree in Computer Engineering & Data Science and Artificial Intelligence.

Dr. Ingrid Winkler, SENAI CIMATEC University Center, Brazil

Professor Dr. Ingrid Winkler is a scientist and professor at SENAI CIMATEC and the Head of the Institute for Science, Innovation, and Technology in Industry 4.0/ INCITE INDSTRIA 4.0, a scientific and technical cooperation network which studies Immersive and Additive UX. She is also a CNPq Productivity in Technological Development fellow (DT2). At SENAI CIMATEC University Center, she leads the Extended Reality for Industrial Innovation Lab, as well as coordinates the Masters and Doctoral Program in Industrial Management and Technology (GETEC) and is a Professor on Computational Modeling (MCTI) Masters and Doctoral Program. Currently, she also contributes with the Ford Virtual Prototyping and eXperiences (VP&X) Lab. Dr. Winkler has coordinated more than 20 RDI projects with EMBRAER, HP, SHELL, VALE, FORD, Petrobras, and startups, funded by EMBRAPII (Brazilian Company for Industrial Innovation), ANP (National Petroleum Agency) and Information Technology Law, among others. Over 50 researchers, including PhD and Masters degree candidates, Lato Sensu Specializations, and graduates, have been supervised by her. She is presently supervising 15 PhD and Master's degree students, and 8 graduate students. She has 83 journal and conference papers, 15 books or book chapters, and more than 50 IP assets, including a USPTO granted patent, ten submitted patents, and registered software applications. She holds a Bachelor of Science in Computing from Mackenzie University and a Doctorate in Management from the Federal University of Bahia, during which she also spent a term at the Ecole de Gestion - HEC Montreal.

Prof. Dr. Marcio Luís Valença Araújo, Federal Institute of Bahia, Brazil

Permanent Professor of the Multi-Institutional and Multidisciplinary PhD in Knowledge Diffusion (DMMDC) UFBA/IFBA/LNCC/UNEB/CIMATEC. Permanent Professor of the Master in Intellectual Property and Technology Transfer for Innovation (PROFNIT). Professor at the Federal Institute of Bahia. PhD in Computational Modeling by the MCTI program at Senai CIMATEC with a research line in Complex Systems. Master in Computational Modeling by the MCTI program of Senai CIMATEC (Salvador-BA). MBA at FGV-SP (Campinas-SP) and extension at Ohio University (USA), Data Processing undergraduate at Ruy Barbosa College. Experience in Computer Science. Participated in the ODI project of the national IEL. Participated in the phases of: requirements, tests and implementation of Brazil's Number Portability in conjunction with Neustar (USA). Certified in ITIL v2 and Cobit 4.1. Participated as project manager of several systems created for telecommunication services. He was manager of the problem cell of the Brazilian Number Portability system and also one of those responsible for the system architecture. He has solid knowledge in systems development processes, as he has already acted as project manager at the software factory of DBA Systems Engineering.

Prof. Dr. Eduardo Manuel de Freitas Jorge, University of the state of Bahia

PhD in Knowledge Diffusion in the multi-institutional program by UFBA and Master in Computer Science by the Federal University of Campina Grande PB. He is a Full Professor at (State University of Bahia) UNEB - Department of Extas and Earth Sciences Campus I/Salvador. He currently works as Research Manager at the Dean of Research and Postgraduate Teaching - PPG UNEB and as coordinator of the Scientific Initiation program at UNEB with CNPQ and FAPESB. He is a professor of the doctoral course in Knowledge Diffusion, in the Masters in Territorial Studies at UNEB and leader of the Applied Research and Innovation Group. He was coordinator of the Uneb Innovation Agency and has worked in recent years at Research and Development Institutes in applied research projects with Samsung, Ford, Totvs, Embraer, etc., generating more than 16 patents granted and requested as an intellectual author and a transfer of technology carried out with the UNEB Scientific Initiation Online System. Finally, he was one of the researchers who restructured UNEB's Innovation Policy.

Prof. Dr. Aloisio Santos Nascimento Filho, SENAI CIMATEC University Center, Brazil

He holds a PhD in Computational Modeling and Industrial Technology from SENAI CIMATEC (2018), a master's degree in Computational Modeling from Fundação Visconde de Cairu - CEPPEV (2005), an MBA in Comptrollership for Business Management from Universidade Salvador - UNIFACS (2011) and a bachelor's degree in Economic Sciences from Faculdade Católica de Ciências Econômicas da Bahia - FACCEBA (1998). Experience in the execution of projects in the areas of information technology, quality management, planning and operational controls in the segments of shipping services and chemical industry (1992-2012). Was a fellow of the Human Resources Program of the National Agency of Petroleum, Natural Gas and Biofuels - ANP/ PRH-55 (2015-2017). Professor: of the Multi-Institutional and Multidisciplinary PhD Program in Knowledge Diffusion, of the MBA in Maintenance Management, of the specialization in Data Science & Analytics and of the engineering bachelor degrees of the SENAI-CIMATEC University Center. He has taught the disciplines: Complex Systems, Industrial Cost Management, Fundamentals of Economics, Fundamentals of Statistics, Applied Statistics and Methods of Problem Solution Analysis (MASP). He develops research in the field of complex systems, evaluating regularities and complexities in time series, with interest in multivariate analysis focusing on economics, mobility, energy and health. Author and co-author of published articles in indexed international journals such as: International Journal of Modern Physics C, Physica A: Statistical Mechanics and its Applications, Science of the Total Environment,. He has published some papers in scientific events: Latin American Congress of Biomathematics, National Meeting of Computational Modeling, National Meeting of Condensed Matter Physics, Workshop on Research, Technology and Innovation ? PTI, MDPI Sustainability among others.

Prof. Dr. Hugo Saba, University of the state of Bahia

PhD in Knowledge Diffusion at the Federal University of Bahia (UFBA) (2013), Master in Computational Modeling by FVC (2005), Specialization in Scientific Computing by the Visconde de Cairu Foundation (FVC) (2003) and Degree in Data Processing by the Faculty Rui Barbosa (1995), Effective Professor at UNEB. He has experience in Computer Science, working mainly on the following topics: computational modeling, social technologies, educational robotics, project management and diffusion of knowledge. Professionally, he coordinates research and development projects with Science and Technology Institutions (ICTs). Coordinator of the Computing Chamber at FAPESB. In the Post Graduation he is Coordinator of the Doctorate in Diffusion of Knowledge (DMMDC), Permanent Professor in the Computational Modeling and Industrial Technology Program (MCTI), and Collaborating Professor in the Professional Master in Intellectual Property and Technology Transfer for Innovation (PROFNIT)

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