Cognopolis
Revista de educción y pedagogía
Vol. 3(2), 1-12 2025
https://doi.org/10.62574/merbgs03
1
Challenges and opportunities for the integration of artificial intelligence in
Ecuadorian basic education
Desafíos y oportunidades de la integración de la inteligencia artificial en
la educación básica ecuatoriana
Vicente Paul Velásquez-Albarracín
vpvelasquez@uce.edu.ec
Universidad Central del Ecuador, Quito, Pichincha, Ecuador
https://orcid.org/0000-0002-0667-4941
Yajayra Jacqueline Lucio-Ramos
yjlucio@uce.edu.ec
Universidad Central del Ecuador, Quito, Pichincha, Ecuador
https://orcid.org/0000-0002-4662-9619
Andrés Fernando Picón-Nieto
afpicon@uce.edu.ec
Universidad Central del Ecuador, Quito, Pichincha, Ecuador
https://orcid.org/0000-0001-7717-1308
Pamela Sarit Analuisa-Garcia
psanaluisa@uce.edu.ec
Universidad Central del Ecuador, Quito, Pichincha, Ecuador
https://orcid.org/0009-0002-9120-9311
ABSTRACT
The current review article aims to analyse the challenges and opportunities of integrating artificial
intelligence into basic education in Ecuador. This was done through a systematic review of 25
academic studies published between 2021 and 2025. The following aspects were studied: i) the
digital divide and accessibility, ii) teacher training and communities of practice, iii) Universal
Design for Learning (UDL), and iv) regulatory and ethical frameworks. It was concluded that AI
offers significant opportunities to personalise learning, cater to student diversity, and reposition
teachers as designers of inclusive learning experiences. For these possibilities to become a
reality, it is essential to coordinate public policies, technological investment projects, and
curriculum strategies based on Universal Design for Learning.
Descriptors: artificial intelligence; educational planners; academic teaching personnel. (Source:
UNESCO Thesaurus).
RESUMEN
El actual artículo de revisión tiene por objetivo de investigación analizar los desafíos y
oportunidades de la integración de la inteligencia artificial en la educación básica ecuatoriana.
Mediante una revisión documental sistemática de 25 estudios académicos publicados entre 2021
y 2025. Se estudiaron las siguientes aristas: i) la brecha digital y la accesibilidad, ii) la formación
docente y las comunidades de práctica, iii) el Diseño Universal para el Aprendizaje (DUA) y iv)
los marcos normativos y éticos. Se tiene por conclusión que la IA ofrece oportunidades
significativas para personalizar el aprendizaje, atender la diversidad de estudiantes y
reposicionar al docente como diseñador de experiencias formativas inclusivas. Para que estas
posibilidades se concreten, resulta indispensable articular políticas públicas, proyectos de
inversión tecnológica y estrategias curriculares basadas en el Diseño Universal para el
Aprendizaje.
Descriptores: inteligencia artificial; planificador de la educación; personal académico docente.
(Fuente: Tesauro UNESCO).
Received: 02/03/2025. Revised: 11/03/2025. Approved: 01/04/2025. Published: 03/05/2025.
Review articles
Cognopolis
Revista de educción y pedagogía
Vol. 3(2), 1-12, 2025
Desafíos y oportunidades de la integración de la inteligencia artificial en la educación básica ecuatoriana
Challenges and opportunities of integrating artificial intelligence into basic education in Ecuador
Vicente Paul Velásquez-Albarracín
Yajayra Jacqueline Lucio-Ramos
Andrés Fernando Picón-Nieto
Pamela Sarit Analuisa-García
2
INTRODUCTION
The integration of artificial intelligence (AI) in Ecuadorian basic education poses
a dual scenario, given that on the one hand, there are infrastructure and
connectivity gaps that limit effective access to digital tools and, on the other, there
is an opportunity to revolutionise teaching and learning processes through
personalisation, inclusion and the redesign of the teaching role, as many schools
still operate with obsolete equipment and intermittent connection, which hinders
the implementation of AI-based solutions (Ahmad et al., 2021; Conde-Zhingre et
al., 2022).
At the same time, evidence suggests that, if teachers' digital competences are
strengthened and clear policy frameworks are established, AI can become a
powerful resource to address the diversity of learning styles and paces, as well
as to foster more creative and collaborative pedagogical practices (Basantes-
Ortega et al., 2025; Duque-Rodríguez, 2024).
Based on the above, the current review article aims to analyse the challenges
and opportunities of integrating artificial intelligence in Ecuadorian basic
education.
Theoretical framework
The theoretical framework of this study is based on four conceptual axes that
guide the analysis of the challenges and opportunities of artificial intelligence in
Ecuadorian basic education: i) the digital divide and accessibility, ii) teacher
training and communities of practice, iii) Universal Design for Learning (UDL) and
iv) regulatory and ethical frameworks ; thus, they are presented:
Digital divide and accessibility
The concept of the digital divide refers to inequalities in access to and use of
information and communication technologies (ICTs) among different sectors of
the population (van Dijk, 2006, cited in Ahmad et al., 2021). In the Ecuadorian
Cognopolis
Revista de educción y pedagogía
Vol. 3(2), 1-12, 2025
Desafíos y oportunidades de la integración de la inteligencia artificial en la educación básica ecuatoriana
Challenges and opportunities of integrating artificial intelligence into basic education in Ecuador
Vicente Paul Velásquez-Albarracín
Yajayra Jacqueline Lucio-Ramos
Andrés Fernando Picón-Nieto
Pamela Sarit Analuisa-García
3
context, this gap is manifested in the lack of stable connectivity and obsolete
equipment in many basic education institutions (Conde-Zhingre et al., 2022).
Accessibility, on the other hand, implies not only making devices and the Internet
available, but also ensuring that digital environments respond to the needs of
students with disabilities (Calderón-Delgado et al., 2024), therefore, overcoming
these barriers requires conceiving infrastructure as an educational public good,
combining investment in hardware with maintenance programmes and ongoing
technical support.
Teacher training and communities of practice
The professionalisation of teachers in the pedagogical use of AI goes beyond
simple technical training, as it implies the collective construction of situated
knowledge, through communities of practice where teachers design, implement
and evaluate AI-based strategies (Basantes-Ortega et al., 2025; Duque-
Rodríguez, 2024), consequently, these collaborative spaces favour critical
reflection on the didactic implications of technology and promote the co-creation
of educational resources adapted to the socio-cultural context of each classroom,
thus, the teacher is not a mere recipient of tools, but an agent of innovation that
articulates technological and pedagogical knowledge to meet the diversity of the
student body.
Universal Design for Learning (UDL)
SAD proposes creating flexible educational environments that anticipate barriers
and offer multiple forms of representation, expression and engagement (Meyer,
Rose & Gordon, 2014, cited in Palacios-García, 2024). By integrating AI
algorithms that detect patterns of difficulty and suggest personalised learning
paths, an inclusive education that recognises individual differences as a source
of pedagogical richness is enhanced; therefore, this perspective places AI as a
support tool to design "flexible curricular insertions" that benefit not only students
with special needs, but the whole group, by diversifying the forms of access to
knowledge.
Cognopolis
Revista de educción y pedagogía
Vol. 3(2), 1-12, 2025
Desafíos y oportunidades de la integración de la inteligencia artificial en la educación básica ecuatoriana
Challenges and opportunities of integrating artificial intelligence into basic education in Ecuador
Vicente Paul Velásquez-Albarracín
Yajayra Jacqueline Lucio-Ramos
Andrés Fernando Picón-Nieto
Pamela Sarit Analuisa-García
4
Regulatory frameworks and ethical considerations
In this context, the responsible integration of AI requires a participatory regulatory
framework, incorporating criteria of data protection, equity of access and
continuous impact evaluation (Ifenthaler et al., 2024; Puertas-Bravo et al., 2024);
in this sense, education policies should be defined through consultative
processes involving the Ministry of Education, school communities and
technology experts, so that clear protocols on privacy, algorithm transparency
and ethical teacher training are established, only this will ensure that AI effectively
contributes to the quality and equity of basic education in Ecuador, without
reproducing or widening existing inequalities.
METHOD
In order to fulfil the research objective of analysing the challenges and
opportunities of the integration of artificial intelligence in Ecuadorian basic
education, a systematic documentary review of 25 academic studies published
between 2021 and 2025 was carried out. The procedure followed the following
phases:
Twenty-five documents were identified through searches in specialised
databases (Scopus, Web of Science, Redalyc and SciELO, Google Scholar),
using Boolean terms such as "artificial intelligence" AND "basic education" AND
"Ecuador". We included articles, papers and book chapters that provided
empirical or reflective evidence on AI implementation in school contexts. In this
way, we proceeded to establish the inclusion and exclusion criteria:
Inclusion: Papers in English or Spanish; studies with a focus on basic education
(primary and secondary); presenting results on AI challenges or opportunities.
Exclusion: Theoretical essays without applied data; publications before 2021;
research focused exclusively on higher education.
For each document, reference data (author, year), main challenges reported and
opportunities identified were recorded. This information was organised in a
Cognopolis
Revista de educción y pedagogía
Vol. 3(2), 1-12, 2025
Desafíos y oportunidades de la integración de la inteligencia artificial en la educación básica ecuatoriana
Challenges and opportunities of integrating artificial intelligence into basic education in Ecuador
Vicente Paul Velásquez-Albarracín
Yajayra Jacqueline Lucio-Ramos
Andrés Fernando Picón-Nieto
Pamela Sarit Analuisa-García
5
systematised matrix. Therefore, from the matrix, table 1 was elaborated, where
the challenges (left column) and opportunities (right column) are directly
contrasted along with the corresponding citation in APA 7 format, which facilitates
the visualisation of thematic convergences and disparities between the studies.
Subsequently, a qualitative content analysis was carried out, focusing on four
theoretical axes:
1. Digital divide and accessibility
2. Teacher training and communities of practice
3. Universal Design for Learning (UDL)
4. Regulatory frameworks and ethical considerations
Therefore, through documentary content analysis, the relationships between
challenges and opportunities were interpreted in order to draw conclusions about
the conditions necessary to articulate the curricular ontology before and after the
adoption of AI for didactic purposes in the Ecuadorian education system.
RESULTS
Based on the review of 25 academic documents, a comparative analysis of the
challenges and opportunities set out in table 1 systematises the necessary edges
to initiate an articulating study between the curricular ontology before and after
the generation of AI for didactic purposes in the Ecuadorian education system,
thus presenting:
Cognopolis
Revista de educción y pedagogía
Vol. 3(2), 1-12, 2025
Desafíos y oportunidades de la integración de la inteligencia artificial en la educación básica ecuatoriana
Challenges and opportunities of integrating artificial intelligence into basic education in Ecuador
Vicente Paul Velásquez-Albarracín
Yajayra Jacqueline Lucio-Ramos
Andrés Fernando Picón-Nieto
Pamela Sarit Analuisa-García
6
Table 1. Challenges and opportunities of AI integration in Ecuadorian basic
education.
Challenges identified
Opportunities identified
Reference
Insufficient technological infrastructure
and digital divide in schools.
Personalisation of learning and data
analysis for educational sustainability.
(Ahmad et al., 2021).
Lack of clear policies for basic AI;
teacher resistance.
Designing innovative curricula with AI
to stimulate 21st century competences.
(Aristega et al.,
2023).
Lack of legal regulation for the use of AI
and blockchain in training processes.
Increased traceability and
transparency in assessments and
certifications.
(Armas et al., 2024).
Teacher role in crisis: methodological
adaptation and lack of training.
Teacher empowerment and the
emergence of new pedagogical roles.
(Basantes-Ortega et
al., 2025).
Poor digital accessibility for students
with disabilities.
Effective inclusion through adaptive
technologies.
(Calderón-Delgado et
al., 2024).
Lack of systematic studies on basic AI.
Identification of best practices and
guidelines for implementation.
(Calderón-Loyola &
Nieto-Rivas, 2024)
Institutional resistance to change and
little continuous training.
Strengthening ongoing teacher
training.
(Carbonell-García et
al., 2023).
School infrastructure and connectivity
limitations.
Optimisation of administrative
processes and student monitoring.
(Conde-Zhingre et
al., 2022).
Risk of dehumanisation by prioritising
technology over values.
Balance between AI and humanistic
approach to enrich learning.
(Duque-Rodríguez,
2024).
High learning curve for augmented
reality (AR).
Enriching science education with
immersive AR.
(Guaña-Narváez et
al., 2024).
Regional inequalities in access to AI in
Latin America.
Promotion of inter-institutional
collaboration networks.
(Guerrero-Quiñonez
et al., 2023).
Insufficient and disjointed public
policies.
Clear guidance for decision-makers
and regulatory frameworks.
(Ifenthaler et al.,
2024).
Difficulty in adapting adaptive
environments to special needs.
Advances in inclusive and
personalised learning environments.
(Jadán-Guerrero et
al., 2024).
Cautious teacher perceptions and lack
of local evidence.
Preliminary data supporting the
acceptance of AI in the classroom.
(Mena-Salcedo et al.,
2025).
Limited teacher training in advanced
digital skills.
Identification of emerging trends for
continuous training.
(Miñan et al., 2023).
Traditional research methods poorly
adapted to AI.
Fostering new AI-oriented research
skills.
(Padilla-Caballero et
al., 2023).
Difficulties in adapting the curriculum
for students with special needs.
Development of inclusive curricular
adaptations with AI.
(Palacios-García,
2024).
Little integration of AI in English
language teaching.
Improving language learning outcomes
through AI.
(Pazmiño & Lucas,
2023)
Variable teacher perception of AI
usefulness.
Harnessing teachers' vision to
implement tools.
(Piña-Ferrer, 2024).
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Revista de educción y pedagogía
Vol. 3(2), 1-12, 2025
Desafíos y oportunidades de la integración de la inteligencia artificial en la educación básica ecuatoriana
Challenges and opportunities of integrating artificial intelligence into basic education in Ecuador
Vicente Paul Velásquez-Albarracín
Yajayra Jacqueline Lucio-Ramos
Andrés Fernando Picón-Nieto
Pamela Sarit Analuisa-García
7
Regulatory gaps in AI regulation in
education.
Opportunity to design clear legal
frameworks in the Andean Community.
(Puertas-Bravo et al.,
2024).
Complexity of implementing GBL with
AI support.
Enhancement of critical thinking
through intelligent games.
(Román-Celi, 2023)
Affecting online learner-instructor
interaction.
Improving communication and
feedback in virtual environments.
(Seo et al., 2021).
Institutional and policy factors delaying
adoption.
Lessons for transferring good practice
from top to bottom.
(Vergara et al.,
2024).
Low level of AI and prompt engineering
literacy.
Promotion of critical thinking and
advanced digital skills.
(Walter, 2024)
K-12 AI tools not always adapted to the
local context.
Reviewing global trends to design local
tools.
(Yim & Su, 2025)
Source: Own elaboration.
Table 1 presents, in an organised manner, the main challenges and opportunities
that research has identified for integrating artificial intelligence in Ecuadorian
basic education. It is noted that gaps in infrastructure and connectivity, as well as
still incipient teacher training in digital skills, represent barriers that limit the
effective use of AI tools in the classroom (Ahmad et al., 2021; Conde-Zhingre et
al., 2022). However, studies also highlight that these same technologies can
enhance the personalisation of teaching, favour the inclusion of students with
special educational needs and reconceptualise the role of the teacher as
facilitator and designer of learning experiences (Basantes-Ortega et al., 2025;
Duque-Rodríguez, 2024). This balance between difficulties and possibilities
reveals the urgency of promoting educational policies, continuous training
programmes and contextualised curricular adaptations, so that AI becomes a real
ally of the pedagogical process in Ecuadorian classrooms.
Therefore, for artificial intelligence to make a real contribution to Ecuador's basic
education, it is essential to close the digital divide, strengthen continuous teacher
training and establish clear rules to guide its use in the classroom. At the same
time, the possibilities of personalising teaching, effectively including students with
special needs and enhancing the role of teachers as creators of learning
experiences open up a very promising path. If authorities, schools and the
Cognopolis
Revista de educción y pedagogía
Vol. 3(2), 1-12, 2025
Desafíos y oportunidades de la integración de la inteligencia artificial en la educación básica ecuatoriana
Challenges and opportunities of integrating artificial intelligence into basic education in Ecuador
Vicente Paul Velásquez-Albarracín
Yajayra Jacqueline Lucio-Ramos
Andrés Fernando Picón-Nieto
Pamela Sarit Analuisa-García
8
academic community work hand in hand, AI can become a practical tool for
improving educational quality and equity in Ecuador.
DISCUSSION
The discussion of the results shows that the limited technological infrastructure
and intermittent connectivity is a structural obstacle that goes beyond the simple
provision of equipment (Ahmad et al., 2021; Conde-Zhingre et al., 2022). In a
context where most campuses still lack reliable broadband, it is imperative to
design investment projects that focus not only on hardware, but also on
maintenance, upgrades and ongoing technical support.
Secondly, teacher professionalisation emerges as a lever for change, as isolated
training workshops on digital tools are not enough, but it is necessary to articulate
communities of practice where teachers share experiences, co-construct AI-
supported pedagogical resources and critically reflect on their impact on learning
(Basantes-Ortega et al., 2025; Duque-Rodríguez, 2024). Therefore, this
collaborative model favours the consolidation of situated knowledge, as teachers
adapt technological solutions to the socio-cultural particularities of their students,
strengthening the relevance and sense of belonging in the training process.
Additionally, the review shows that AI-mediated curricular adaptations can
transcend the specific attention to special educational needs to become an
exercise in universal learning design; by integrating algorithms that detect
patterns of difficulty and propose alternative teaching routes, an inclusive school
culture is promoted, where each student has access to multiple modalities of
representation, expression and cognitive engagement (Calderón-Delgado et al.,
2024; Palacios-García, 2024).
Therefore, the development of a participatory regulatory framework is essential,
in which the Ministry of Education, academic institutions and civil society engage
in dialogue to establish ethical standards, evaluation criteria and data protection
protocols (Ifenthaler et al., 2024; Puertas-Bravo et al., 2024). Only then will
Cognopolis
Revista de educción y pedagogía
Vol. 3(2), 1-12, 2025
Desafíos y oportunidades de la integración de la inteligencia artificial en la educación básica ecuatoriana
Challenges and opportunities of integrating artificial intelligence into basic education in Ecuador
Vicente Paul Velásquez-Albarracín
Yajayra Jacqueline Lucio-Ramos
Andrés Fernando Picón-Nieto
Pamela Sarit Analuisa-García
9
artificial intelligence cease to be an object of technological desire and become an
integrated, regulated and continuously evaluated pedagogical resource that
boosts the quality and equity of basic education in Ecuador.
CONCLUSION
The documentary content analysis shows that the integration of artificial
intelligence in Ecuadorian basic education requires, on the one hand, overcoming
structural obstacles such as the digital divide, the precariousness of infrastructure
and the need for an effective regulatory framework; on the other hand, it is
necessary to strengthen pedagogical capacities through continuous training and
communities of practice for teachers. At the same time, AI offers significant
opportunities to personalise learning, address student diversity and reposition
teachers as designers of inclusive learning experiences. For these possibilities to
be realised, it is essential to articulate public policies, technological investment
projects and curricular strategies based on Universal Design for Learning. Only
in this way will AI cease to be an incipient resource and become an effective ally
for improving the quality, equity and relevance of basic education in Ecuador.
FUNDING
Non-monetary
CONFLICT OF INTEREST
There is no conflict of interest with persons or institutions involved in research.
ACKNOWLEDGEMENTS
To Ecuadorian teachers.
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Revista de educción y pedagogía
Vol. 3(2), 1-12, 2025
Desafíos y oportunidades de la integración de la inteligencia artificial en la educación básica ecuatoriana
Challenges and opportunities of integrating artificial intelligence into basic education in Ecuador
Vicente Paul Velásquez-Albarracín
Yajayra Jacqueline Lucio-Ramos
Andrés Fernando Picón-Nieto
Pamela Sarit Analuisa-García
10
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Challenges and opportunities of integrating artificial intelligence into basic education in Ecuador
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Yajayra Jacqueline Lucio-Ramos
Andrés Fernando Picón-Nieto
Pamela Sarit Analuisa-García
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