Revista Iberoamericana de la Educación, Vol - 8 No. 3, July - September 2024

e-ISSN: 2737-632x

Pgs 29-36

applications, benefits, challenges, and recent studies demonstrating

its effectiveness. Personalization of learning, increased student

engagement, and improved assessment are some of the benefits

observed, while technology gaps and data privacy emerge as

significant challenges.

Teaching, Adaptive Learning, Intelligent Tutors.

En los últimos años, la Inteligencia Artificial (IA) ha emergido como

observados, mientras que las brechas tecnológicas y la privacidad de

los datos se presentan como desafíos importantes.

Matemáticas, Aprendizaje Adaptativo, Tutores Inteligentes

Nos últimos anos, a Inteligência Artificial (IA) surgiu como uma

ferramenta poderosa na educação. Este documento examina a

Revista Iberoamericana de la Educación, Vol - 8 No. 3, July - September 2024

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.

matemática, aprendizagem adaptativa, tutores inteligentes

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

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.

Revista Iberoamericana de la Educación, Vol - 8 No. 3, July - September 2024

Another crucial area where AI shows its potential is in assessment

and feedback. Automated assessment platforms, such as Gradescope

(Turnitin, 2024), use AI to assess assignments and exams, providing

immediate and accurate feedback. This not only saves teachers time,

but also allows students to receive continuous assessment that can

guide them in their learning process. Fast and accurate feedback is

essential for effective learning, as it allows students to identify and

correct errors quickly, thus improving their understanding and

retention of the material.

education system.

Another major concern is data privacy and security. AI platforms

collect a large amount of personal data from students, and it is

essential to ensure that this information is handled securely and

ethically. Developers and administrators of these tools must

implement robust security measures to protect personal information

and ensure compliance with data privacy regulations.

In addition, preparing teachers to use AI technologies is a challenge

that should not be underestimated. Many teachers do not have the

necessary training to effectively integrate these tools into their

comprehensive literature review and a detailed analysis of case

studies, it will seek to provide a comprehensive view of the current

situation and offer recommendations for maximizing the benefits of

AI in education, while addressing challenges and concerns. In doing

so, this study will contribute to a deeper understanding of how

technology can transform education and improve learning outcomes

for all baccalaureate students.

Literature Review: The objective of this phase is to establish a solid

Revista Iberoamericana de la Educación, Vol - 8 No. 3, July - September 2024

academic articles, books, technical reports and case studies will be

used as sources, focusing on publications from the last five years that

deal with AI in education, specifically in mathematics education.

The process will involve searching academic databases such as

Google Scholar, JSTOR, IEEE Xplore, and other bibliographic

resources. Key studies that have demonstrated the effectiveness of

AI in education will be identified and key findings will be analyzed

and summarized to contextualize current research.

Research Design: The goal is to explore in depth student and teacher

AI applications in mathematics education

Intelligent tutors are programs designed to provide personalized

tutoring to students. These systems use AI algorithms to analyze

student responses and tailor lessons according to their individual

needs. One example is the ALEKS (Assessment and Learning in

Knowledge Spaces) system, which has been shown to be effective in

mathematics instruction in several studies.

Adaptive learning systems, such as Knewton, adjust educational

feedback. This not only saves teachers time, but also allows students

to receive continuous assessment that can guide them in their

learning process.

Benefits of using AI in mathematics education

Personalization of learning is one of the biggest benefits of AI in

education. By tailoring lessons to the individual needs of students,

AI can help close knowledge gaps and ensure that each student

receives the instruction they need to succeed.

Increased student engagement and motivation is another significant

benefit. AI applications often include interactive and gamified

Revista Iberoamericana de la Educación, Vol - 8 No. 3, July - September 2024

This can lead to increased engagement and improved academic

performance.

Improved assessment and feedback is crucial for effective learning.

The instant assessments and continuous feedback provided by AI

platforms allow learners to identify and correct errors quickly, which

improves their understanding and retention of the material.

Challenges and limitations

Despite its many benefits, the use of AI in mathematics education

also presents challenges. One of the main concerns is unequal access

Preparing teachers to use AI technologies is another challenge. Many

teachers do not have the necessary training to effectively integrate

these tools into their teaching, which can limit their effectiveness.

Case studies and empirical evidence

A study by Narvaez-Pinango and colleagues (2024) analyzed the

impact of intelligent tutors on the performance of high school

mathematics students. The results showed a significant improvement

in grades and understanding of mathematical concepts among

students who used intelligent tutors compared to those who did not

(Narváez-Pinango, Pozo-Revelo, & Álvarez-Tinajero, 2024).

student and teacher perceptions of the use of AI in the mathematics

classroom. Most participants expressed positive opinions,

highlighting the ability of AI to personalize learning and provide

immediate feedback. However, they also noted the need for better

training for teachers and concerns about data privacy.

Future directions and recommendations

To effectively integrate AI into the mathematics curriculum, it is

essential to develop strategies that consider the needs and

capabilities of students and teachers. This includes ongoing training

for teachers in the use of AI technologies and the development of

Revista Iberoamericana de la Educación, Vol - 8 No. 3, July - September 2024

Ongoing research is crucial to understanding the long-term impact

of AI on education. More studies are needed to assess how AI affects

learning and skill development over time.

Collaboration between educators, technology developers, and

policymakers is essential to ensure that AI tools are developed and

implemented ethically and effectively. This includes creating clear

policies on data privacy and security and promoting equitable access

to the technology.

increasing engagement, and improving assessment. AI tools, such as

Revista Iberoamericana de la Educación, Vol - 8 No. 3, July - September 2024

It is essential to continue research and collaboration to maximize the

benefits of AI in education and address its challenges. Continued

research is crucial to understand the long-term impact of AI in

education and to develop new strategies and tools that can enhance

the learning experience. By fostering collaboration between

educators, technology developers, and policymakers, we can ensure

that AI tools are developed and implemented ethically and

effectively.

In doing so, we can create a more effective and inclusive learning

Alfaro-Salas, H., & Díaz-Porras, J. (2024). Percepciones y

Ibrahim, U. (2024). Empowering Sustainable Development and

McGrawHill. (2024). ALEKS. Obtenido de

Posso, R., Ulcuango, M., Morales, L., Pastaz, G., & Jaramillo, L.

Turnitin. (2024). Gradescope. Obtenido de

Wiley, J. (2024). Knewton. Obtenido de

Revista Iberoamericana de la Educación, Vol - 8 No. 3, July - September 2024