EDUCATIONAL TRANSFORMATION WITH ADVANCED TDICS: INTEGRATION OF ARTIFICIAL INTELLIGENCE AND BIG DATA FOR THE DEVELOPMENT OF BNCC SKILLS IN THE INITIAL AND FINAL YEARS OF ELEMENTARY EDUCATION
Álaze Gabriel do Breviário
Master in Theology. University of São
Paulo. Email: alaze_p7sd8sin5@yahoo.com.br. Lattes URL:
http://lattes.cnpq.br/9973998907456283.
Valdimeire Silvestre Lopes
Master's student in Education Sciences and
Christian Ethics, Ivy Christian University, mere_silvestre@hotmail.com. Lattes
URL:
Deusirene Souza da Silva Fróes
PhD student in Education Sciences and
Christian Ethics, Ivy Enber Christian University, deusirenesouzasilvafroes@gmail.com.
Lattes URL: https://lattes.cnpq.br/0218139923264576.
Flávia Adriana Santos Rebello
Master in Administration, Must University,
frebello.mentoriatextual@gmail.com, Lattes URL:
http://lattes.cnpq.br/3406211444097827.
João Batista Lucena
Master's student in Education, Federal
Institute of Education, Science and Technology of Rio Grande do Norte,
joao.batista.lucena@gmail.com. Lattes URL:
http://lattes.cnpq.br/2822567703207399.
Logan Faedda Rago
Master's student in Education Sciences and
Christian Ethics, Ivy Enber Christian University, loganfaedda@hotmail.com.
Lattes URL: https://lattes.cnpq.br/2516880221903287.
Leliane Aparecida Castro Rocha
PhD in Education, Methodist University of
São Paulo (UMESP), prof.lelianerocha@gmail.com. Lattes URL:
http://lattes.cnpq.br/6176059915115617.
Ayla Limeira da Silva
Bachelor's degree in Special Education, Federal University of São Carlos (UFSCar). Email: aylasilva250@gmail.com. Lattes URL: https://wwws.cnpq.br/cvlattesweb/PKG_MENU.menu?f_cod=700C515E26C0EC79366115D7A29098A7#.
ABSTRACT
This research investigates the use
of advanced Digital Information and Communication Technologies (ICTs),
artificial intelligence (AI) and Big Data in the personalization of elementary
education, in alignment with the competencies of the National Common Curricular
Base (BNCC). Inserted in a context of growing technological transformation in
education, the research addresses the issue of how these tools can be
effectively integrated into teaching, respecting inclusion and diversity, and
overcoming challenges such as inequality of access and insufficient teacher
training. The main objective was to analyze how these technologies can
personalize teaching and develop specific BNCC competencies. The research
adopted the Giftedian neoperspectivist paradigm, based on the theories of
Constructivism, Cognitivism, Adaptive Learning and Computational Complexity. It
used the hypothetical-deductive method and conducted a Bibliographic and
Documentary Narrative Review, analyzing 87 works selected from databases such
as Scopus, Web of Science and Scielo. The main findings indicate that tools
such as Python, R and Google Colab personalize pedagogical practices and
promote inclusion, but teacher training and unequal infrastructure are critical
challenges. Among the gaps, the absence of longitudinal studies and clear
regulations for the ethical use of educational data stand out. Limitations
include the dependence on secondary data and the lack of practical validation
in the field. The research contributes theoretically, methodologically and
empirically to the area of educational technologies, adding value to science
and society by proposing innovative and inclusive practices that enhance
learning and reduce inequalities.
Keywords: Digital Inclusion. School Skills. Pedagogical Training. Predictive Analysis Personalized Education.