Revista Iberoamericana de la Educación, Vol - 8 No. 3, July - September 2024
Use of Artificial Intelligence in High School Mathematics Teaching
utilização da IA no ensino da matemática a estudantes do ensino
secundário, destacando aplicações específicas, benefícios, desafios e
estudos recentes que demonstram a sua eficácia. A personalização
da aprendizagem, o maior envolvimento dos alunos e a melhoria da
avaliação são alguns dos benefícios observados, enquanto as lacunas
tecnológicas e a privacidade dos dados representam desafios
significativos.
Palavras-chave: Inteligência artificial na educação, ensino da
matemática, aprendizagem adaptativa, tutores inteligentes
INTRODUCTION
The integration of technology in education has revolutionized the
way students learn and teachers teach. As we move forward in the
digital age, technological tools have become indispensable in
education, transforming not only teaching methods, but also the way
in which educational processes are managed and evaluated. In
particular, Artificial Intelligence (AI) has shown significant potential
to transform the teaching of mathematics at the high school level.
This advanced technology, which simulates human learning and
thinking processes, is increasingly being adopted in classrooms to
improve the educational experience and student outcomes (Posso,
Ulcuango, Morales, Pastaz, & Jaramillo, 2023).
AI's ability to personalize instruction and provide real-time feedback
can address individual student needs, making learning more
effective and efficient. Through adaptive learning systems and
intelligent tutors, AI can analyze student performance and adjust the
content and pace of instruction according to their specific needs.
This is particularly useful in teaching mathematics, a subject that
often presents unique challenges for students due to its cumulative
nature and the need for a solid understanding of previous concepts
to move on to more complex topics.
In addition to personalization of learning, AI can also increase
student engagement and motivation. AI applications often include
interactive and gamified elements that make learning more engaging
and fun. These features can lead to increased engagement in learning
activities and, consequently, better academic performance. For
example, platforms such as ALEKS (McGrawHill, ALEKS, 2024)
and Knewton (Wiley, 2024) use advanced algorithms to create
personalized learning experiences that not only adapt to each
student's skill level, but also maintain their interest and motivation
through interactivity and immediate feedback.