Alan Pedro da Silva

First of all, I am an Arapiraquense and a faithful ASA fan, with a lot of love and pride. I am the son of semi-illiterate parents, who migrated for a period to São Paulo, due to the everlasting drought of the northeast. Thus, I know closely the challenges of being from the countryside of northeastern Brazil and having the goal of “conquering the world”. I am married to Melina and Tom’s father, a sensational son who is teaching me about life more than any book I have ever read. Alongside my brother-friend, Prof. Ig Ibert, I founded NEES (https://nees.ufal.br/) in 2011. Since its origin, NEES has had the goal of contributing to social transformation in Brazil through education. I am also a collaborator of the renowned Virtual Communities group, which is led by Prof. Lynn Alves (UFBA). Currently, I am an Associate Professor at the Computing Institute and the Education Center, both from UFAL. I have a broad experience in Education-Applied Computing research, generating results in (i) the Industry, as a founder and researcher of MeuTutor Company (Winner of the Rio Info 2014 award); (ii) the development of National Public Policies, as in the development of the MEC Technology Guide; (iii) and, currently, to the General Coordination of the Screening Process of the National Textbook Program. I develop my research in Education-Applied Computing based on equity and social welfare. As a central focus of my research, I aim to contribute to the learning and well-being of children with ADHD through digital games. For this purpose, I am currently mentoring three Ph.D. students within this field of investigation, as well as delving into behavioral neuroscience tools.

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Alessandra Debone

Passionate about public policy and educational innovation, I’m a self-employed Public Policy Consultant with a rich background spanning over a decade, which includes key roles in both NGOs and governmental organizations. My career has been defined by a commitment to driving positive change, implementing cutting-edge educational technologies, and shaping influential policies within the primary education sector.

My educational journey has equipped me with specialized expertise. I have delved into Women’s Leadership at Columbia University and Public Policies at Harvard Kennedy School, where I honed my skills and insights. Furthermore, I hold a specialization in the application of computing in education, which I earned at São Paulo University.

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Angelina Nunes de Vasconcelos

Faculty member at the Institute of Psychology at the Federal University of Alagoas and the Master’s program in Psychology at the same institute. I hold a degree in Psychology from the Federal University of Alagoas (2010), a Master’s in Cognitive Psychology from the Federal University of Pernambuco (2013), and a Ph.D. in Linguistics from the State University of Campinas (2017). I have experience in the field of Psychology, with an emphasis on Educational School Psychology, Educational Equity, Public Policies, and Equity, working mainly on the following topics: Educational Equity, Educational School Psychology, Child Development, Language Acquisition, Argumentation, and Cognitive Psychology.

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Diego Dermeval Medeiros da Cunha Matos

Assistant Professor at the Federal University of Alagoas (UFAL), teaching in the Graduate Program in Informatics of UFAL’s Computing Institute, in the Professional Master in Education in Health of the School of Medicine, and in the Doctorate in Teaching (RENOEN) of the Education Center. In 2017 he received a Ph.D. in Computer Science from the Federal University of Campina Grande (UFCG) with a sandwich period at the Department of Computer Science of the University of Saskatchewan (U of S – Canada). He holds a degree in Computer Science from the Federal University of Alagoas (UFAL) and a master’s degree in Computer Science from the Federal University of Pernambuco (UFPE). He received the Alexandre Direne Prize for Theses, Dissertations, and Undergraduate Theses in Informatics in Education (3rd best doctoral thesis) in 2017. In his career as a researcher, he has dedicated himself to Artificial Intelligence in Education (AIED) research by designing, developing, and experimenting with educational technologies and smart technologies. He was a visiting researcher at the Institute of Mathematical and Computer Sciences (ICMC) of the University of São Paulo (USP, 2017 and 2018) and was selected to participate in the British Council Researcher Links Workshop: Higher Education for All: International Workshop on Social, Semantic, Adaptive and Gamification techniques and technologies for Distance Learning in Maceió, Brazil (2017). Diego is the author/co-author of over 50 publications in journals or conferences in the fields of Artificial Intelligence in Education, Software Engineering, and Human-Computer Interaction, having published in reputable vehicles in these fields. He is the director of the Center for Excellence in Social Technologies (NEES – IC/UFAL) and a member of the Multi-Agent Distributed Mobile and Ubiquitous Computing Lab (MADMUC – Canadá), in which he conducts research on the following themes: Artificial Intelligence in Education, Intelligent Tutoring Systems, and Gamification in Education. Diego is a reviewer of international journals (e.g., IEEE Transactions on Learning Technologies, Frontiers in Artificial Intelligence, Smart Learning Environments, British Journal of Educational Technology) in the field of Informatics in Education. He is a member of the Program Committee of national and international events (e.g., International Conference on Artificial Intelligence in Education – AIED, Intelligent Tutoring Systems Conference – ITS, International Conference on Advanced Learning Technologies – ICALT, and Conferência Latino-Americana de Tecnologias de Aprendizagem – LACLO) in these fields as well. He is a member of the Brazilian Computing Society (Sociedade Brasileira de Computação), the Association for Computing Machinery – ACM, and the Institute of Electrical and Electronics Engineers – IEEE. Currently, Diego Dermeval is a consultant to the Ministry of Education, where he coordinates projects related to the development of Evidence-Based Educational Technology Policies. He is co-founder of the 2KnowBetter spin-off, a company in the field of educational technologies whose objective is to develop computational solutions that provide augmented intelligence (human and artificial) for teachers.

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Ibsen Mateus Bittencourt Santana Pinto

Ph.D. in Business Administration (Mackenzie-SP), Master in Brazilian Education in the line of Information Technology and ICT Communication (UFAL), MBA in Tourism Management (UBM-RJ), Specialist in Mathematics (UFPE), Bachelor in Business Administration (UFAL) and Bachelor in Tourism (CESMAC). He is an Adjunct Professor IV of the Federal University of Alagoas – UFAL and Researcher of the Center for Excellence in Social Technologies – NEES/UFAL/CNPq, Professor of the master’s program in Intellectual Property and Technology Transfer for Innovation – PROFNIT and the undergraduate programs of Business Administration and Computer Science. He has published more than 180 academic articles in books, journals, and national and international congresses. Co-founder of Startups D0Zero, GIDLE, HÉLLIX, and IT4LIFE, a company that develops software based on human recommendations and provides consulting services for complex business management. He has worked in the commercial management of VARIG Airlines S/A and Contecny Construções Ltda. Also, Ibsen has worked at ICE Equipment, which provided services in the importation and exportation sector of SOREDEX equipment from Finland and QR s.r.l from Italy.

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Ig Ibert Bittencourt Santana Pinto

Ig Ibert Bittencourt is married, father of Davi Gabriel and Sofia Carina, Associate Professor at the Computing Institute of the Federal University of Alagoas (UFAL), CNPq1D and was a member of the Advisory Committee of Productivity Grants in Technological Development and Innovative Outreach Projects (Comitê de Assessoramento de Bolsas de Produtividade em Desenvolvimento Tecnológico e Extensão Inovadora – CA-DT – 2019 – 2021). In 2009, he received a Ph.D. from the Federal University of Campina Grande (UFCG) and in 2013 he obtained his Post-Doctorate at the State University of Campinas (UNICAMP). During his Ph.D., Ig proposed a theoretical and computational model for the elaboration of Educational Systems based on the Semantic Web. He has dedicated his career as a researcher to the field of Artificial Intelligence in Education by investigating the design, development, and experimentation of educational technologies. In particular, he has investigated Intelligent Gamified Tutoring Systems, focusing on their elaboration (ontologies and authorship), use (basic education), and impact (psychological mediators, optimal experience, and learning). As his research became more robust, Ig Bittencourt realized the need delve into psychological theories, which led him to enter the Undergraduate Program in Psychology at UFAL in 2017. Ig Bittencourt found himself facing a major research challenge: how can the design and use of Intelligent Educational Systems lead to an Optimal Learning Experience? He was a visiting in many countries, such as Japan, Canada, Germany, and Brazil. From 2019 to 2021, he was a visiting researcher at the Normal University of China, considered to be the best university for Teacher Training in China. Ig was co-director of the Center for Excellence in Social Technologies (2011 – 2017), Vice-President (2012 – 2015) and President (2016 – 2017) of the Special Committee on Informatics in Education, UFAL Advisory Representative at W3C (2013 -2017), SBC Representative of TC on Education – TC 3 of the International Federation For Information Processing – IFIP (2016 – 2017). Currently, he is a Member of the Steering Committee of the Innovation Network for Brazilian Education – IEB Network (Comitê Gestor da Rede de Inovação para Educação Brasileira – Rede IEB) (since 2016), of the Brazilian Computer Society (Sociedade Brasileira de Computação) (since 2005), of the Association for Computing Machinery – ACM (since 2009), of the Institute of Electrical and Electronics Engineers – IEEE (since 2009) and the Society of Artificial Intelligence in Education (Sociedade de Inteligência Artificial na Educação) (since 2016). In addition, he has organized more than 20 national and international events, being one of the creators of the first Brazilian Semantic Web event in Education. He was also granted the opportunity to co-organize the Bragfost symposium (Brazilian-German Frontiers of Science and Technology Symposium) in 2020 (Brazil) and 2021 (Germany), which is an initiative of CAPES together with the Alexander von Humboldt Foundation (AvH). Ig Ibert is a reviewer of the most important educational technologies journals and conferences in the world. He was an editor of the Brazilian Journal of Informatics in Education (Revista Brasileira de Informática na Educação) (2009 – 2012) and is currently editor of the Journal IEEE Transactions on Learning Technologies (considered one of the five best Educational Technologies journals in the world). In 2019, Ig Bittencourt and other researchers founded the Brazilian Academy of Educational Technologies (Academia Brasileira de Tecnologias Educacionais) (ABTE), where Ig is the president of the Academic Council. Currently, Ig Bittencourt works in partnership with the Ministry of Education (MEC) in the conception of Evidence-Based Educational Technologies Policies. Finally, he co-founded several spin-offs, two of which were awarded: i) eyeduc (formerly MeuTutor), which is a company in the field of educational technologies (approximately 100,000 students have already used it), which was chosen as the most innovative educational company in Brazil in 2015, by RioInfo; ii) Linked Knowledge, a company in the field of semantic technologies, awarded as one of the most innovative companies in Alagoas. Ig Ibert Bittencourt believes in innovative social entrepreneurship as a sustainable model to promote the social and economic development of humanity.

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Leonardo Brandão Marques

Assistant Professor at the Center of Education of the Federal University of Alagoas (UFAL). Ph.D. in Psychology (UFSCar) with a sandwich period at the Medical School of the University of Massachusetts (Advisor: William McIlvane) and obtained a post-doctorate at the Laboratory of Education-Applied Computing (ICMC-USP). Leonardo studies the interface between learning processes, computing, and education. Currently, he conducts research on the following topics: behavior analysis, informatics in education, relational learning, literacy, and gamification. Leonardo’s latest project seeks to integrate Artificial Intelligence into the teaching of primary reading skills. He is a member of the Center for Excellence in Social Technologies (NEES), works as a consultant to the Brazilian Ministry of Education (MEC), since 2017, on projects related to the assessment of educational technologies, especially regarding aspects related to accessibility. Leonardo was also a coordinator of the consolidation of the public consultation of subsidies to the proposition of the National Policy of Special Education report of 2019-2020. He participates in the following research groups: http://plsql1.cnpq.br/buscaoperacional/detalheest.jsp?est=3705407022339177.

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Luciana Peixoto Santa Rita

With over 20 years dedicated to research, market studies, and industrial consulting, my mission is to strengthen the interaction between innovation, public policies, and the competitiveness of economic sectors. Currently, I am a Full Professor at the Federal University of Alagoas, where I teach undergraduate and master’s courses in public policy and serve as Project Coordinator at NEES. There, I apply my expertise in mediation and innovation to generate significant impacts on technology transfer practices and the development of effective policies for the Ministry of Education and the Ministry of Culture.

At the Federation of Industries of the State of Alagoas, as a Consultant, I analyze market and competitiveness indicators, which lead to valuable insights for the local industry. My interdisciplinary approach results in tangible outcomes for both partner institutions and the advancement of industrial policies in Brazil. With experience in market studies and research, including sectoral studies, I have contributed to various projects and consultancies aimed at the development of public policies, sustainability, and bioeconomy.

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Paula Toledo Palomino

Paula Toledo Palomino is a postdoctoral researcher in Computer Science at UFAL, with a Ph.D. in Computer Science and Computational Mathematics from USP and a Master’s in Image and Sound from UFSCar. She holds a specialization in IT Project Management from UNISUL and a bachelor’s degree in Image and Sound from UFSCar. She has experience in the fields of Human-Computer Interaction (HCI), User Experience (UX) and Interaction Design, Digital Design, Communication, Advanced Educational Systems, and Gamification.

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Rafael de Amorim Silva

Graduated in Information Systems from the Faculdade de Alagoas (Faculty of Alagoas) (2006), Master in Computer Science from the Universidade Federal de Pernambuco (Federal University of Pernambuco) (2008), and Ph.D. in Electronic and Computer Engineering from the Technological Institute of Aeronautics (2014). Part of his doctoral studies was funded by CAPES through the Science Without Borders program, through which he entered an exchange program at the Universität Salzburg (2013). He is the Co-founder and Chief Scientist of the Center for Research in Emerging Technologies (CPTE). He specializes in Intelligent Systems Engineering, with experience in the following areas: Location Systems, Communication Systems, IoT/IoE/IoA Systems, Systems Systems, Educational Systems 4.0, and Intelligent Health Systems.

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Rafael Ferreira Leite de Mello

Ph.D. in computer science with research interests in natural language processing, Learning Analytics, and educational technology. He is a professor at the Universidade Federal Rural de Pernambuco (Federal Rural University of Pernambuco – UFRPE) and Cesar School in Brazil, where he is one of the coordinators of the Artificial Intelligence Laboratory (https:/aiboxlab.org/), which conducts several initiatives related to Learning Analytics (LA). Dr. Mello holds a postdoctoral degree from the University of Edinburgh’s School of Informatics, obtained in 2018, where he continues to collaborate. He works on several multinational research projects, which involve academic partners and companies in Europe, Australia, the United States, and Latin America. Dr. Mello’s previous experiences also include a research project funded by Hewlett-Packard, in which he worked as a technical leader. A key theme of his recent research has been the use of education-applied natural language processing and themes more focused on text analysis as summarization and classification.

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Ranilson Oscar Araújo Paiva

Adjunct Professor at the Federal University of Alagoas and co-director of the Center for Excellence in Social Technologies (NEES). His research focuses on developing computational solutions to amplify teachers’ intelligence, by complementing their abilities, helping them offer a better learning experience to their students, and enhancing the management of classes/lessons. For this purpose, he develops, conducts, and participates in research and projects that approach Artificial Intelligence in Education (AIED), Learning Analysis, and Data Science.

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Rodrigo Lisbôa Pereira

Bachelor’s degree in Computer Science from the Centro Universitário do Estado do Pará (University Center of the State of Pará – CESUPA) (2006). Post-graduation in Software Project Management from the Universidade Federal do Pará (Federal University of Pará – UFPA) (2008). Master’s and Ph.D. in Electrical Engineering in the field of Applied Computing from UFPA (2011 and 2020, respectively). He is currently an Adjunct Professor at the Universidade Federal Rural da Amazônia (Federal Rural University of the Amazon – UFRA) (Software Engineering Area), leader of the GP/CNPq Computational Technologies Laboratory (LabTeC/UFRA); Member of the Bioinspired Computing Laboratory (LCBio/UFPA); member of the Institute of Electrical and Electronics Engineers (IEEE); of the IEEE Computational Intelligence Society; of the IEEE Network of Consultants; and of the Brazilian Computer Society (SBC). He has experience in the fields of Computer Science, Computer Engineering, and Information Systems, with emphasis on Software Engineering; Computational Intelligence and High-Performance Software Architecture; Software Process; Process Modeling (SPEM and BPMN); Software Quality; Project Management; Development Environment and Information Systems; Programming Languages (Java, C/C++ and PHP); Artificial Intelligence Techniques Applied to Engineering; and Parallel Programming (CUDA standard, OpenMP standard and MPI standard for communication).

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Seiji Isotani

Seiji Isotani is a Full Professor in the field of Computing and Educational Technologies at the Institute of Mathematical and Computer Sciences of the University of São Paulo (ICMC-USP). He holds a P.h.D in Information Engineering from Osaka University (Japan), where de developed his thesis in the field of Education-Applied Artificial Intelligence. He holds a Post-Doctorate degree in Cognitive Sciences from Carnegie Mellon University (USA). He is a co-founder of the Laboratory of Education-Applied Computing and Advanced Social Technology of ICMC-USP, which has already trained a hundred professionals. He was also a co-founder of two technology-based companies (startups), both awarded different opportunities for the development and application of technological innovations in the sector. His research focuses on the development and application of computer techniques to support and transform teaching and learning activities. He is internationally recognized for his work in the fields of Artificial Intelligence in Education, Intelligent Tutoring Systems, Gamification, Collaborative Learning with Computational Support (CSCL), and Connected Open Data. He has published more than a hundred scientific articles and, according to Google Scholar, is among the 20 most cited researchers in the world in their areas of expertise. He was Chief Editor of the Brazilian Journal of Informatics in Education (RBIE), Associate Editor of IEEE Transactions on Learning Technologies, member of the Municipal Council of Education of São Carlos, member of the Special Commission of Informatics in Education (Comissão Especial de Informática na Educação – CEIE-SBC), member of the PIBIT Institutional Scholarship Judging Committee at CNPq (Comitê Julgador de Bolsas Institucionais do PIBIT), and a Brazilian Representative at the IFIP Technical Committee on Education (Comitê Técnico em Educação) (TC3). He has been working since 2017 as a technical and scientific advisor to the Ministry of Education (MEC) in the design and execution of Public Policies in Evidence-Based Educational Technologies. He is currently Vice-President of the Brazilian Academy of Educational Technologies (Academia Brasileira de Tecnologias Educacionais), a member of the Steering Committee of the Innovation Network for Brazilian Education (Rede de Inovação para a Educação Brasileira), an ACM Distinguished Speaker, a Senior IEEE Member, Associate Editor of the Frontiers in Artificial Intelligence journal, and a CNPq Productivity Fellow. Personal Website: https://sites.icmc.usp.br/sisotani.

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Thiago Damasceno Cordeiro

Adjunct Professor at the Computing Insitute of the Federal University of Alagoas (UFAL) and a permanent member of the Post-Graduation Program in Informatics (PPgI) in the same institution. In 2018, he received his Ph.D. in Electrical Engineering from the Federal University of Campina Grande (UFCG), where he developed research involving the modeling of human cardiovascular systems for the control of ventricular assistance mechanisms. Thiago holds a Master’s in Electrical Engineering (2010) and an undergraduate degree in Computer Engineering (2006), both from the Federal University of Pará (UFPA). Currently, he has been working in the fields of digital processing of signals, with an emphasis on electrocardiogram signaling and the application of Artificial Intelligence techniques for the classification of cardiac diseases.

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