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Revista Iberoamericana de la Educación, Vol - 8 No. 3, July - September 2024
e-ISSN: 2737-632x
Pgs 29-36
* Magíster en Telecomunicaciones
Universidad de Guayaquil-Maestrante
efren.castillodel@ug.edu.ec
https://orcid.org/0009-0006-4806-
7281
* Magíster en Economía con Mención
en Finanzas y Proyectos Corporativos
Universidad de Guayaquil
nancy.tapiay@ug.edu.ec
https://orcid.org/0000-0001-7834-
0265
* Magíster en Gerencia Educativa
Universidad de Guayaquil
Facultad de Filosofía, Letras y
Ciencias de la Educación
silvia.placenciai@ug.edu.ec
https://orcid.org/0000-0003-3164-
1639
* Magíster en Enseñanza de la Física
Universidad de Guayaquil
Facultad de Filosofía, Letras y
Ciencias de la Educación
christian.pavonb@ug.edu.ec
https://orcid.org/0000-0002-8913-
1546
Received: Febrary, 2024
Approved: May, 2024
DOI:
https://doi.org/10.31876/
ie.v8i12.270
http://www.revista-
iberoamericana.org/index.
php/es
How to cite:
Castillo, E., Tapia, N.,
Palencia, S., Pavón, C.
(2024) Use of Artificial
Intelligence in High School
Mathematics Teaching.
Revista Iberoamericana De
educación, 8 (3).
Use of Artificial Intelligence in High
School Mathematics Teaching
Uso de la Inteligencia Artificial en la Enseñanza de Matemática para
Bachillerato
Utilização da Inteligência Artificial no Ensino da Matemática no Ensino
Secundário
Efrén Antonio Castillo Del Pezo*
Nancy Karina Tapia Yagual*
Silvia Maribel Placencia Ibadango*
Christian Antonio Pavón Brito*
Abstract
In recent years, Artificial Intelligence (AI) has emerged as a
powerful tool in education. This paper examines the use of AI in
teaching mathematics to high school students, highlighting specific
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.
Keywords: Artificial Intelligence in Education, Mathematics
Teaching, Adaptive Learning, Intelligent Tutors.
Resumen
En los últimos años, la Inteligencia Artificial (IA) ha emergido como
una herramienta poderosa en el ámbito educativo. Este trabajo
examina el uso de IA en la enseñanza de matemáticas para
estudiantes de bachillerato, destacando aplicaciones específicas,
beneficios, desafíos y estudios recientes que demuestran su eficacia.
La personalización del aprendizaje, el aumento del compromiso
estudiantil y la mejora en la evaluación son algunos de los beneficios
observados, mientras que las brechas tecnológicas y la privacidad de
los datos se presentan como desafíos importantes.
Palabras clave: Inteligencia Artificial en Educación, Enseñanza de
Matemáticas, Aprendizaje Adaptativo, Tutores Inteligentes
Resumo
Nos últimos anos, a Inteligência Artificial (IA) surgiu como uma
ferramenta poderosa na educação. Este documento examina a
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Revista Iberoamericana de la Educación, Vol - 8 No. 3, July - September 2024
Use of Artificial Intelligence in High School Mathematics Teaching
30
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.
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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.
Despite these significant benefits, the integration of AI in education
also presents significant challenges. One of the main challenges is
unequal access to technology. Not all students have access to high-
quality devices and Internet connections, which can create a
significant digital divide. This disparity in access can limit the
effectiveness of AI tools and exacerbate existing inequalities in the
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
teaching, which can limit their effectiveness. It is crucial to provide
ongoing training and support resources for teachers so that they can
fully utilize AI capabilities in their pedagogical practices.
This paper aims to explore how AI is currently being used in
mathematics teaching, the benefits it offers, the challenges it faces,
and the future prospects for its implementation. Through a
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.
MATERIALS AND METHODS
Literature Review: The objective of this phase is to establish a solid
theoretical basis on which the research will be based. Relevant
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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
perceptions and experiences with AI tools in mathematics
instruction. This qualitative study will involve a group of high school
students and mathematics teachers from various educational
institutions. AI tools such as intelligent tutors (e.g., ALEKS),
adaptive learning systems (e.g., Knewton), and automated
assessment platforms (e.g., Gradescope) will be selected.
RESULTS
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
content in real time based on each student's performance and pace of
learning. These platforms allow students to progress at their own
pace, ensuring that they fully understand each concept before
moving on to the next.
Automated assessment platforms, such as Gradescope, use AI to
assess assignments and tests, 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.
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
elements that make learning more engaging and fun for students.
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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
to the technology. Not all students have access to high-quality
devices and Internet connections, which can create a significant
digital divide.
Data privacy and security is another major concern. AI platforms
collect a large amount of students' personal data, and it is essential
to ensure that this information is handled securely and ethically.
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).
Another study by (Ibrahim, 2024) evaluated the effectiveness of
adaptive learning systems in improving mathematical skills. The
researchers found that students who used these systems showed
faster progress and higher retention of material compared to
traditional teaching methods.
Finally, a study by (Alfaro-Salas & Diaz-Porras, 2024) explored
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
educational resources that are accessible to all students.
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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.
CONCLUSIONS
In summary, AI has the potential to transform mathematics
instruction at the baccalaureate level by providing personalization,
increasing engagement, and improving assessment. AI tools, such as
intelligent tutors, adaptive learning systems, and automated
assessment platforms, offer significant advantages by tailoring
instruction to individual student needs, maintaining student interest
through interactivity, and providing immediate and accurate
feedback. These capabilities not only improve learning
effectiveness, but can also close knowledge gaps and promote deeper
understanding of mathematical concepts.
However, the implementation of AI in education faces significant
challenges that must be addressed to fully leverage its benefits.
Unequal access to technology remains a major barrier. Not all
students have access to high-quality devices and Internet
connections, which can create a digital divide that limits the
effectiveness of AI tools and perpetuates existing inequalities in the
education system. It is crucial to develop strategies to ensure
equitable access to technology and educational resources.
In addition, privacy and data security are essential concerns. AI
platforms collect a large amount of personal data from students, and
it is imperative to ensure that this information is handled securely
and ethically. Developers and administrators of these tools must
implement robust security measures and comply with data privacy
regulations to protect students' personal information.
Teacher training is another critical challenge. Many teachers lack the
training necessary to effectively integrate AI technologies into their
teaching. Providing ongoing training and support resources is critical
to enable teachers to fully utilize AI capabilities in their teaching
practices. Collaboration between educators, technology developers,
and policy makers is essential to create a learning environment that
maximizes the benefits of AI and addresses its challenges.
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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
environment for all learners. AI has the potential to transform
education, but its successful implementation requires careful
planning, adequate resources, and a focus on equity and ethics. With
continued commitment and effective collaboration, we can harness
the power of AI to improve education and provide all students with
the opportunities they need to succeed.
REFERENCES
Alfaro-Salas, H., & Díaz-Porras, J. (2024). Percepciones y
Aplicaciones de la IA entre Estudiantes de Secundaria. Revista
Tecnológica-Educativa Docentes 2.0, 17(1), 200-215.
Ibrahim, U. (2024). Empowering Sustainable Development and
Security through Computer Education and Technology
Integration. International Journal of Applied Educational
Research (IJAER), 2(1), 39-50.
McGrawHill. (2024). ALEKS. Obtenido de
https://latam.aleks.com/login
McGrawHill. (s.f.). ALEKS. Obtenido de
https://latam.aleks.com/login
Narváez-Pinango, M., Pozo-Revelo, D., & Álvarez-Tinajero, N.
(2024). El impacto de las herramientas tecnológicas en el
aprendizaje de las matemáticas. Revista Ecos de la Academia,
10(19), 1-15.
Posso, R., Ulcuango, M., Morales, L., Pastaz, G., & Jaramillo, L.
(2023). Revolucionando la educación: Implementación
efectiva de la tecnología en el aula. GADE: Revista Científica,
33-47.
Turnitin. (2024). Gradescope. Obtenido de
https://www.gradescope.com/
Wiley, J. (2024). Knewton. Obtenido de
https://www.knewton.com/login
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