Tendências em inteligência artificial e educação híbrida: um estudo exploratório
DOI:
https://doi.org/10.69532/2178-4442.v20.73649Keywords:
Inteligência artificial, Educação híbrida, Análise bibliométrica, Estado do conhecimentoAbstract
This article aims to identify trends and themes of academic research related to the contributions of studies that focused on researching the intersection between artificial intelligence and blended learning, based on bibliographic research in the Scopus database, on the analysis of co-occurrence networks of keywords, on the cocitation of cited references, and on the qualitative analysis of research results, through the state of knowledge. The research revealed a growing trend of mobilization of the scientific community to investigate about the research theme, with emphasis on different approaches. We conclude that this field is in full development, as it makes it possible to integrate different technologies in the educational context, providing more flexible, inclusive, personalized and interactive learning experiences, which are expressed in new teaching models that support the development of autonomy, reflective thinking, active learning, and contribute to the construction of an educational scenario that addresses the skills required in the 21st century.
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BACICH, L. Formação continuada de professores para o uso de metodologias ativas. In: BACICH, L.; MORAN, J. Metodologias ativas para uma educação inovadora: uma abordagem teórico prática. Porto Alegre: Penso, 2018.
BACICH, L.; TANZI NETO, A.; TREVISANI, F. D. M. Ensino híbrido: personalização e tecnologia na educação. Porto Alegre: Penso, 2015.
BASTIAN, M.; HEYMANN, ; JACOMY,. Gephi: An Open Source Software for Exploring and Manipulating Networks. Proceedings of the International AAAI Conference on Web and Social Media. [S.l.]: [s.n.]. 2009. p. 361-362.
BLASCO-ARCAS , L. et al. Using clickers in class. The role of interactivity, active collaborative learning and engagement in learning performance. Computers & Education, n. 62, 2013. 102-110.
CHEN, M.-R. A.; HWANG, G.-J.; CHANG, Y.-Y. A reflective thinking-promoting approach to enhancing graduate students' flipped learning engagement. British Journal of Educational Technology, n. 50, 2019. 2288-2307.
CHEN, X. et al. Two Decades of Artificial Intelligence in Education: Contributors,
Collaborations, Research Topics, Challenges, and. Educational Technology and Society, n. 25 (1), 2022. 28-47.
CIEB, C. D. I. P. A. E. B. Notas técnicas #16 Inteligência artificial na educação [recurso eletrônico]. São Paulo: CIEB, 2019.
COLLINS, A.; HALVERSON, R. Rethinking education in the age of technology: the digital revolution and schooling in america. New York: Teachers College Press, 2009.
GARRISON, D. R.; KANUKA, H. Blended learning: uncovering its transformative potential in higher education. The internet and higher education, 2, n. 7, 2004. 95-105.
GOEDHART, N. S. et al. The flipped classroom: supporting a diverse group of students in their learning. Learning Environments Research, n. 22, 2019. 297 - 310.
GRIFFITH, , B. C. et al. The Structure of Scientific Literatures II: Toward a Macro-and Microstructure for Science. Social Studies of Science 4, p. 339-365, 1974.
GUPTA, S.; CHEN, Y. Supporting Inclusive Learning Using Chatbots? A Chatbot-Led Interview Study. Journal of Information Systems Education, 33, 2022. 98 -108.
HJORLAND, B. Citation analysis: a social and dynamic approach to knowledge. Information Processing & Management, v. 49, n. 6, p. 1313-1325, 2013.
HWANG, G. J. et al. A fuzzy expert system-based adaptive learning approach to improving students’ learning performances by considering affective and cognitive factors. Computers and Education: Artificial Intelligence, 1, 2020.
JAHNKE, I.; KUMAR, S. Digital didactical designs: teachers' integration of ipads for learning-centered processes. Journal of digital learning in teacher education, n. 30, 2014. 81-88.
KANDLHOFER, M. et al. Artificial intelligence and computer science in education: From Kindergarten to university. Proceedings - Frontiers in Education Conference. [S.l.]: [s.n.]. 2016.
KANUKA, H.; ANDERSON, T. On-line social interchange, discord and knowledge construction. Journal of distance education, n. 13, 1998. 57 - 74.
KAUR, A.; BHATIA, M.; STEA, G. A Survey of Smart Classroom Literature. Education Sciences, 2, n. 12, 2022.
KHAN, A. I. et al. Study of blended learning process in education context. International journal of modern education and computer science, 9, n. 4, 2012. 23 - 29.
KIM, G. J. et al. Perspective on flipping Circuits i. IEEE Transactions on Education, n. 54, 2014. 188-192.
KONG, S. C. Developing information literacy and critical thinking skills through domain knowledge learning in digital classrooms: an experience of practicing flipped classroom strategy. Computers & education, n. 78, 2014. 160 -173.
KOSCHMANN, T. D. et al. Using technology to assist in realising effective learning and instruction: a principal approach to the use of computers in collaborative learning. Journal of the learning science, n. 3, 1994. 227-264.
KUKULSKA-HULME, A. et al. Artifcial intelligence in education: preparing for life and learning in. Innovating Pedagogy 2020: Open University Innovation Report 8, 2020.
LÉVY, P. Cibercultura. 3° ed. ed. São Paulo: Editora 34, 2010.
LUO, Y.; HAN, X.; ZHANG, C. Prediction of learning outcomes with a machine learning algorithm based on online learning behavior data in blended courses. Asia Pacific Education Review, 2022.
MISHRA, P.; KOEHLER, M. J. Technological pedagogical content knowledge: a new framework for teacher knowledge. Teachers college record, n. 108, 2006. 1017 - 1054.
MORAN, J. Educação Híbrida: um conceito chave para a educação, hoje. In: BACICH, L.; TANZI NETO, A.; TREVISANI, F. D. M. Ensino híbrido: personalização e tecnologia na educação. Porto Alegre: Penso, 2015. p. 270.
MORAN, J. Metodologias ativas para uma aprendizagem mais profunda. In: BACICH, L.; MORAN, J. Metodologias ativas para uma educação inovadora: uma abordagem teórico-prática. Porto Alegre: Penso, 2018.
MORESI, E. A. D.; PIEROZZI JÚNIOR, I. KNOWLEDGE REPRESENTATION APPROACHES FOR SCIENCE & TECHNOLOGY: towards methodological sistematization ABORDAGENS DE REPRESENTAÇÃO DO CONHECIMENTO PARA CIÊNCIA E TECNOLOGIA: construindo uma sistematização metodológica. 16th CONTECSI USP - International Conference on Information Systems and Technology Management. Brasil: [s.n.]. 2019.
MOROSINI, M.; KOHLS-SANTOS, P.; BITTENCOURT, Z. Estado do conhecimento: teoria e prática. Curitiba: CRV, 2021.
NEWMAN, M. Networks: an introduction. Oxford: Oxford University Press, 2009.
NORTHEY, G. et al. Increasing Student Engagement Using Asynchronous Learning. Journal of Marketing Education, n. 37, 2015. 171- 180.
PRITCHARD, A. Statistical bibliography or bibliometrics? Journal of Documentation, v. 25, n. 4, p. 348-349, 1969.
RAMSARAN-FOWDAR, R. R.; VENCATACHELLUM, I. An assessment of students' perceptions of online conferencing: The case of full-time learners. 8th IFIP World Conference on Computers in Education, WCCE 2005. Cape Town: [s.n.]. 2005.
RODRIGO, R. T.; PLATON, L. H. Hybrid learning for the digital natives: Impacts on academic performance and learning approaches. Kasetsart Journal of Social Sciences, 1, n. 43, 2022. 201 - 208.
TORRES DIAZ, J. C.; INFANTE MORO, A.; TORRES CARRIÓN, P. V. Mobile learning: Perspectives. RUSC Universities and Knowledge Society Journal, 2015. 38-49.
UDEN, L.; BEAUMONT, C. Technology and Problem-Based Learning. Hershey: IGI Global, 2005.
UNESCO. Marco de Avaliação Global da Alfabetização Midiática e Informacional (AMI): disposição e Competências do País. Brasília: Cetic, 2016. 138 p. ISBN 978-85-7652-215-7.
VAN ECK, N. J.; WALTMAN, L. Software survey: VOSviewer, a computer program. Scientometrics, v. 84, n. 2, p. 523-538, 2010.
VAN ECK, N. J.; WALTMAN, L. Visualizing bibliometric networks. In: ROUSSEAU, R.; WOLFRAM, D. Measuring scholarly impact: methods and practice. New York: Springer, 2014. p. 285-320.
VAN ECK, N. J.; WALTMAN, L. VOSviewer manual. Leiden: Universiteit Leiden, 2019.
WALTMAN, L.; VAN ECK, N. J.; NOYONS, E. C. M. A unified approach to mapping and clustering of bibliometric networks. Journal of Informetrics, v. 4, n. 4, p. 629-635, 2010.
WANG, X. et al. Learners’ perceived AI presences in AI-supported language learning: a study of AI as a humanized agent from community of inquiry. Computer Assisted Language Learning, 2022.
WILLIAMSON, B.; EYNON, R. Historical threads, missing links, and future directions in ai in education. Learning, media and technology, 3, n. 45, 2020. 223-235.
XU, W.; OUYANG, F. A systematic review of AI role in the educational system based on a proposed conceptual framework. Education and Information Technologies, 2022. 4195-4223.
YAN, L. et al. Mapping from proximity traces to socio-spatial behaviours and student progression at the school. British Journal of Educational Technology, 2022.
YANG, S. J. H. et al. Human-centered artificial intelligence in education: Seeing the invisible through the visible. Computers and Education: Artificial Intelligence, 2021.
ZUPIC, I.; CATER, T. Bibliometric methods in management organization. Organizational Research Methods, v. 18, n. 3, p. 429-472, 2014.
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