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DOI: https://doi.org/ 10.56712/latam.v 6i5.4801
Revisión sistemática sobre el desarrollo del
pensamiento matemático en la básica primaria y su impacto en =
la
innovación curricular sociocultural
Systematic review on the development of mathematical thinking in pri=
mary
school and its impact on sociocultural curricular innovation
Johana Andrea Aguilar Agudelo[1]
johanaaguilar.est@umecit.edu.pa
https://orcid.org /0000-0002-1493-5814
Uni=
versidad
Metropolitana de Educación, Ciencia y Tecnología –UMECIT
Ciudad de
Panamá – Panamá
Luis Fernando Cardona Palacio
luiscardona.doc@umecit.edu.pa
https://orcid.org /0000-0002-6526-9508
Uni=
versidad
Metropolitana de Educación, Ciencia y Tecnología –UMECIT
Ciudad de
Panamá – Panamá
Artículo recibido: 15 de julio de
2025. Aceptado para publicación: 14 de noviembre de 2025.
Conflictos de Interés: Ninguno que declarar.
Resumen<=
/o:p>
Este artículo presenta una revisión sistemátic=
a de
literatura bajo los lineamientos PRISMA, centrada en estudios publicados en=
tre
el 2018 y el 2025, recuperados de la base de datos Sco=
pus ,
los cuales están relacionados con el desarrollo del pensamiento mate=
mático
en la educación básica primaria, eje fundamental de la
formación integral de los estudiantes. Se seleccionaron 28 estudios
relevantes, los cuales fueron analizados mediante una tabla comparativa y u=
na
matriz categorial conceptual. Los resultados evidencian una creciente
orientación hacia enfoques pedagógicos contextualizados,
críticos y culturalmente significativos, se destaca la importancia d=
e la
etnomatemática , el aprendizaje colaborat=
ivo y
el uso de recursos diversos en el aula. Desde el análisis
bibliométrico, se identificó que el 89,29% de los documentos
correspondieron a artículos científicos y el 64% estaban
indexados en revistas con cuartiles Q1 a Q4 . Las publicaciones en revistas Q1
representaron el 18% del total, lo cual refleja una alta visibilidad
académica. Además, cabe señalar que se observó =
un
aumento en la producción en los últimos tres años,
concentrando más del 50% de los estudios entre 2023 y 2025. Asimismo=
, se
reconoció la formación docente como un factor clave para la
transformación curricular. El estudio concluye que el pensamiento
matemático en primaria debe desarrollarse desde perspectivas
socioculturales que integren saberes locales, promuevan la equidad y
contribuyan a una educación matemática más significati=
va,
intencionada y contextualizada.
Palabras clave: pensamiento
matemático, educación primaria, educación
matemática crítica, enfoque sociocultural, currículo
Abstract
This article presents a systematic review of literature under the PR=
ISMA
guidelines, focused on studies published between 2018 and 2025, recovered f=
rom
the Scopus database, which are related to the development of mathematical
thinking in primary basic education, a fundamental axis of the comprehensive
training of students. 28 relevant studies were selected, which were analyzed
using a comparative table and a conceptual categorical matrix. The results =
show
a growing orientation towards contextualized, critical and culturally
significant pedagogical approaches, highlighting the importance of
ethnomathematics, collaborative learning and the use of diverse resources in
the classroom. From the bibliometric analysis, it was identified that 89.29=
% of
the documents corresponded to scientific articles and 64% were indexed in
journals with quartiles Q1 to Q4 .
Publications in Q1 journals represented 18% of =
the
total, which reflects high academic visibility. In addition, it should be n=
oted
that an increase in production was observed in the last three years,
concentrating more than 50% of the studies between 2023 and 2025. Likewise,
teacher training was recognized as a key factor for curricular transformati=
on.
The study concludes that mathematical thinking in primary school must be
developed from sociocultural perspectives that integrate local knowledge,
promote equity and contribute to a more meaningful, intentional and
contextualized mathematics education.
Keywords: mathematical
thinking, primary education, critical mathematics education, sociocultural
approach, curriculum innovation
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Todo el contenido de LATAM Revista Latinoamerica=
na
de Ciencias Sociales y Humanidades, publicado en este sitio está
disponibles bajo Licencia Creative Commons .=
<=
o:p>
C=
ómo
citar: Aguilar Agudelo, J. A.,
& Cardona Palacio, L. F. (2025). Revisión sistemática sob=
re
el desarrollo del pensamiento matemático en la básica primari=
a y
su impacto en la innovación curricular sociocultural. LATAM Revista Latinoamericana de Cienc=
ias
Sociales y Humanidades 6 (5), 3107 – 3129. https://doi.org/10.56712/<=
span
class=3DSpellE>latam.v6i5.4801
INTRODUCCIÓN
El pensamiento matemático desempe&ntild=
e;a
un papel esencial en la formación integral del ser humano, al contri=
buir
con el desarrollo de habilidades cognitivas superiores como la
abstracción, el razonamiento lógico, la resolución de
problemas y la toma de decisiones fundamentadas (Gómez, Paredes, &am=
p;
Reyes, 2022). Por su parte, la educación básica Es una etapa
fundamental para el desarrollo de habilidades cognitivas y socioemocionales
debido a que en estos años se Configuran las bases del pensamiento
crítico, la autorregulación y la comprensión del entor=
no,
lo que incide directamente en la forma en que los niños pueden proce=
sar
e interpretar la realidad E interactuar en ella desde comprensiones basadas=
en
el sentido y en el análisis (UNESCO, 2021). Por esta razón, l=
os
procesos matemáticos no se pueden reducir a la repetición
mecánica de algoritmos, sino que tiene todo un potencial que le perm=
ite
a los seres humanos no solamente interpretar su realidad y comprenderla, si=
no
también transformarla. Lo anteriormente descrito es fundamental pues=
es
precisamente en los primeros años donde se configuran las estructuras
cognitivas y actitudinales que les permiten a los niños entender la
realidad en la que viven e interactuar en ella desde comprensiones basadas =
en
el análisis y el sentido. Es por esto que, los procesos
matemáticos no se pueden reducir a la repetición mecán=
ica
de algoritmos, sino que tienen todo un potencial que le permite al ser huma=
no
interpretar y transformar su realidad.
Desde una perspectiva sociocultural y cr&iacut=
e;tica,
el pensamiento matemático se potencia y se enriquece en la medida qu=
e se
relacione con contextos históricos, sociales y culturales que ayudan=
a
mediar en la construcción del conocimiento. Autores como D´Ambrosio (2003) y Skovsm=
ose
(2000) han insistido en la necesidad de entender la matemática como =
una
práctica humana situada que se construye en interacción con el
entorno, la cultura y la experiencia de los estudiantes. Donde el aprendiza=
je
promueve el diálogo, la reflexión crítica, y la
construcción colectiva del saber. Plantean la necesidad de reconfigu=
rar
la enseñanza de las matemáticas hacia enfoques más
contextuales, dialógicos y transformadores, donde el conocimiento no=
sea
simplemente transferido, sino resignificado en la vida cotidiana del estudi=
ante.
A partir de la revisión, se destacan 3
estudios especialmente relevantes por su enfoque complementario de la
enseñanza de las matemáticas en contextos escolares diversos.=
Muhamad Fadzil y Osman (2=
025),
Zuliana et al. (2025) y Rehman et al. (2024). Estos trabajos permiten una
comparación interesante en cuanto a objetivos, metodologías,
resultados y limitaciones. En cuanto a los objetivos, mientras que Fadzil y Osman (2025) se enfocan en comparar mé=
;todos
colaborativos (TAPPS , Jigs=
aw
y Fishbowl ) Para la enseñanza de la
resolución de problemas matemáticos, Zuliana et al. (2025) Bu=
sca
determinar la eficacia de la enseñanza matemática basada en la
cultura mediante un metaanálisis, y Rehman et al. (2024) Desarrollan=
y
validan un modelo teórico que relacione al aprendizaje basado en
proyectos con las habilidades del siglo XXI y el compromiso de los estudian=
tes.
Aunque los 3 comparten la intención de mejorar el aprendizaje
matemático, difieren en la aproximación que realizan, compara=
tiva
teórica, síntesis cuantitativa y modelado explicativo,
respectivamente.
En relación con los enfoques
metodológicos, Fadzil y Osman (2025) emp=
lean
una revisión de alcance de tipo no empírico; por su parte,
Zuliana et al. (2025) utilizan un enfoque cuantitativo meta analític=
o con
25 estudios primarios; y Rehman et al. (2024) Desarrollan un estudio relaci=
onal
con modelado de ecuaciones estructurales (SEM) aplicado a 600 estudiantes. =
Esta
diversidad metodológica enriquece el panorama investigativo al combi=
nar
revisiones teóricas, análisis estadísticos de segundo
orden y estudios de campo con un sólido de rigor cuantitativo.<=
/o:p>
Respecto a los resultados, los 3 estudios
coinciden en resaltar beneficios significativos de las estrategias
pedagógicas evaluadas. Fadzil y Osman (2=
025)
Muestran que cada método colaborativo tiene ventajas específi=
cas,
TAPPS favorece la metacognición, Jigsaw La autonomía, y Fi=
shbowl
la reflexión y la comunicación. Zuliana et al. (2025) Evidenc=
ian
un efecto de gran magnitud para la enseñanza culturalmente situada, =
con
impacto mayor en comprensión conceptual y retención. Rehman et
al. (2024), en cambio, identifican que el aprendizaje basado en proyectos
mejora la actitud, el pensamiento crítico y el compromiso, un proceso
mediado por los desafíos del siglo actual.
De forma similar, en cuanto a las limitaciones,
los 3 estudios reconocen restricciones que abren posibilidades para futuras
investigaciones. Fadzil y Osman (2025) Evidenci=
a la
falta de comparación empírica directa entre los método=
s y
una escasa evidencia sobre Fishbowl en
matemáticas. Zuliana et al. (2025) Señalan la heterogeneidad =
en
los estudios incluidos y la falta de evaluación de pensamiento creat=
ivo.
Por su parte, Rehman et al. (2024) Hacen mención de posibles sesgos =
por
autoinforme, la corta duración de la intervención y la ausenc=
ia
de evaluación objetiva del pensamiento crítico.
Lo anterior, refuerza la necesidad de avanzar
hacia modelos pedagógicos que integren la colaboración, la
cultura propia, la participación, el interés asociado y la
motivación como claves para procesos matemáticos más
significativos. En los últimos años se ha consolidado una
tendencia hacia propuestas en matemáticas que promueven la
inclusión, La relación con aspectos culturales y el contexto,=
lo
cual evidencia un paso significativo hacia prácticas educativas con
mayor sentido crítico y equitativo (Hendriyanto=
et al., 2023). Uno de los aportes más relevantes de esta revisi&oacu=
te;n
es la identificación de puntos de convergencia entre los estudios
analizados, en los cuales la mayoría enfatiza la necesidad de superar
prácticas tradicionales centradas en la repetición
mecánica, para avanzar hacia modelos pedagógicos que integren=
la
resolución de problemas, el pensamiento crítico, el trabajo c=
olaborativo
y el uso de tecnologías digitales. De igual forma se observa una
tendencia creciente hacia la incorporación de enfoques como la etnomatemática , el aprendizaje situado y la
interdisciplinariedad como medios para hacer más significativa la
enseñanza de las matemáticas.
A partir de este panorama, este artículo
está basado en preguntas orientadoras como, ¿Cuáles son
las tendencias predominantes en la investigación sobre el desarrollo=
del
pensamiento matemático en la educación básica primaria=
?,
¿Qué enfoques pedagógicos, recursos didácticos y
Marcos teóricos se han propuesto para enriquecer este proceso? &ique=
st;Y
qué vacíos, retos y proyecciones emergen del análisis =
de
los estudios revisados para orientar futuras prácticas e
investigaciones?
METODOLOGÍA
Aplicació=
;n
de la metodología PRISMA
En este trabajo se utiliza una revisión
sistemática con el propósito de localizar, evaluar
críticamente y sintetizar de manera organizada la evidencia disponib=
le
sobre un tema específico, con el fin de responder a las preguntas de
investigación. A diferencia de otro tipo de revisiones, la
revisión sistemática se caracteriza por el uso de procedimien=
tos
explícitos y reproducibles en todas las etapas del proceso: desde la
definición del protocolo, pasando por la selección de estudios
hasta la síntesis de los resultados. Para garantizar la transparenci=
a y
calidad del proceso esta revisión fue desarrollada conforme a los
lineamientos de la declaración PRISMA 2020 (Pre=
ferred
Reporting Items for Systematic Reviews and Meta-Analyses =
), que
establece un conjunto de criterios estandarizados para la presentació=
;n
de revisiones sistemáticas en investigaciones de diversa índo=
le
(Page et al., 2021). Esta metodología permite la elaboración =
de
informes rigurosos y comprensibles con una mejor evaluación y
replicación de los hallazgos.
En este sentido, la presente revisión
sistemática, desarrollada bajo los lineamientos PRISMA 2020 (Page et
al., 2021), permitió analizar estudios publicados entre el 2018 y el
2025, seleccionados mediante un riguroso proceso de inclusión y
exclusión. Los estudios revisados se caracterizan por abordar la
enseñanza de las matemáticas desde enfoques metodológi=
cos
(cualitativos, mixtos y cuantitativos), con poblaciones escolares diversas =
y en
contextos educativos variados. El proceso metodológico se
desarrolló en cuatro fases, identificación, selección,
elegibilidad e inclusión, conforme a la declaración PRISMA 20=
20
(Page et al., 2021).
En la primera fase, de identificación, =
se
realizó una búsqueda en la base de datos de Scopus ,
“Ampliamente reconocida en la comunidad científica por su cali=
dad,
alcance internacional y por integrar revistas de alto impacto en
múltiples disciplinas” (Gusenbauer =
&
Haddaway , 2020, p. 207). Además, se
eligió esta base de datos porque “Proporciona acceso a una amp=
lia
colección de literatura científica revisada por pares, lo que
asegura un nivel significativo de confiabilidad y rigor en las revisiones
sistemáticas” (Falagas et al., 200=
8, p.
338). Tiene un alcance multidisciplinario y una actualización consta=
nte
que permite acceder a investigaciones relevantes y actuales en el campo de =
la
educación matemática, esto la convierte en una fuente confiab=
le
para fundamentar estudios comparativos y analíticos. Dicho en otras
palabras, “Scopus es una de las bases de =
datos
más completas del mundo, ampliamente utilizada por investigadores de=
bido
a su cobertura temática diversa, su trazabilidad y fiabilidad como
fuente de literatura científica” (Burnham, 2006, p. 123).=
La selección cuidadosa de las palabras
claves en los artículos de revisión sistemática permit=
en
delimitar con claridad el enfoque temático del estudio, optimizan la
recuperación de información relevante en las bases de datos y
garantiza la coherencia entre los objetivos de investigación, los
criterios de inclusión y los términos utilizados en la estrat=
egia
de búsqueda, lo que mejora la transparencia y reproducibilidad del
proceso. De la misma manera, fortalecen la alineación entre el conte=
nido
del estudio y su visibilidad académica (Page et al., 2021). El prese=
nte estudio,
focalizó palabras claves como, pensamiento matemático,
educación primaria, educación matemática crític=
a,
enfoque sociocultural y currículo, las cuales fueron concatenadas
mediante el operador lógico AND con el fin de acotar y precisar los
resultados. El uso de este operador en búsquedas booleanas es una
estrategia eficaz para restringir los resultados a estudios relevantes y
específicos, al recuperarse lo que contienen estos términos
combinados (Bramer et al., 2018).
En la Figura 1 se presenta el proceso conforme=
a
la metodología prisma, la identificación, la selección=
o
cribado, la elegibilidad y la inclusión final de los estudios que ha=
cen
parte de esta revisión sistemática, conforme a la
metodología PRISMA. Este procedimiento garantiza un análisis
riguroso, sistemático y reproducible de la evidencia disponible (Pag=
e et
al., 2021). La búsqueda inicial arrojó un total de 2.257
registros.
Figura 1
Diagrama de flu=
jo
PRISMA 2020
Por su parte, la Tabla 1 Presenta una
síntesis de enfoques metodológicos, áreas
temáticas, instrumentos de recolección de información y
niveles educativos, abordados en las investigaciones incluidas. En
relación con los criterios de exclusión, se descartaron en pr=
imer
lugar los estudios que no se ajustaban al rango temporal establecido, lo qu=
e redujo
el corpus a 1.525 registros.
De la misma manera, estudios repetidos, aquell=
os
estudios que no estuvieran en idioma inglés o español¸ =
en
esta etapa se excluyeron 793 registros por no cumplir con los criterios
establecidos. Así fue como fueron considerados 732 artículos,
seleccionados para el proceso de tamización por título, resum=
en y
palabras clave. De estos, 684 fueron descartados por no cumplir con los
criterios de elegibilidad. Posteriormente, se aplicaron filtros relacionados
con la pertinencia temática a partir de la lectura de títulos,
resúmenes y palabras clave, con el objetivo de descartar aquellos
estudios que, aunque contenían los términos buscados, no se
alineaban con los objetivos específicos de la presente revisió=
;n.
Esta depuración permitió afinar la selección de
artículos realmente relevantes para el análisis.
Tabla 1
Tabla
metodológica para el proceso de análisis y comparación=
Etapa del
análisis
Descripci&oac=
ute;n
del procedimiento
Codificación
inicial
Revisión
de cada estudio en función de categorías definidas:
propósito, diseño metodológico,
población/muestra, análisis de información, resultad=
os,
conclusiones.
Construcción
de matriz temática
Organización
de los datos en una matriz comparativa que incluyó aspectos
teóricos, metodológicos y contextuales, facilitando el cruc=
e de
información y la identificación de patrones.
Comparación
cruzada
Análisis
transversal para detectar relaciones, similitudes y diferencias entre los
estudios en aspectos como enfoques pedagógicos, tipo de pensamiento
trabajado y resultados.
Síntesis
teórica
Identificación
de aportes teóricos relevantes, principales limitaciones
metodológicas y retos propuestos por los autores en el desarrollo =
del
pensamiento matemático.
Elaboración
de resultados
Redacción
de hallazgos estructurados con base en la recurrencia de conceptos, enfoq=
ues,
niveles educativos y tipos de intervención, sustentados por la
evidencia recogida.
La fase de elegibilidad consistió en la
lectura completa de 48 estudios preseleccionados, valorando su pertinencia,
calidad metodológica y coincidencia con los criterios de
inclusión. Se excluyeron 20 artículos por razones
específicas relacionadas con la calidad metodológica, tipo de
muestra, ausencia de relación con el objetivo de la revisión =
o falta
de datos relevantes. Como resultado, 28 estudios fueron contemplados en la =
fase
de inclusión, consolidando el corpus final de análisis, compu=
esto
por los estudios que cumplieron con todos los requisitos metodológic=
os,
temporales y temáticos, asegurando la exhaustividad del proceso de
revisión, Reduciendo el sesgo en la selección de fuentes y
fortaleciendo la validez de los resultados.
Codificación y comparación de registros
Para el análisis de los estudios se
diseñó y aplicó una tabla comparativa como instrumento
metodológico que permitió una lectura crítica y
sistemática de los documentos incluidos en la revisión. Este
instrumento organizó la información en categorías como
propósito del estudio, diseño metodológico,
población o muestra, análisis de la información,
resultados, conclusiones, aportes teóricos, limitaciones, retos y
proyecciones. Esta estructura facilitó una comparación riguro=
sa
entre investigaciones diversas lo cual permitió identificar patrones,
relaciones y aportes comunes en el desarrollo del pensamiento matemá=
tico
en educación básica primaria. Asimismo, se construyó u=
na
matriz categorial basada en el enfoque cualitativo comparativo sugerido por
Hernández, Fernández y Baptista (2022), lo cual permiti&oacut=
e;
sistematizar hallazgos, destacar vacíos teóricos y establecer
proyecciones para futuras investigaciones. Como se muestra en la tabla 2, la
codificación y el análisis se organizaron en cinco etapas,
codificación inicial, construcción de matriz temática,
comparación cruzada, síntesis teórica y elaboraci&oacu=
te;n
de resultados.
Tabla 2
Matriz de
categorías conceptuales identificadas en los estudios analizados
Categor&iacut=
e;a
Descripci&oac=
ute;n
del contenido analizado
Enfoques
de Aprendizaje y Enseñanza
Modelos
didácticos, teorías implícitas de enseñanza y
tendencias pedagógicas en matemáticas.
Estrategias
y Métodos Pedagógicos
Técnicas
específicas de instrucción, metodologías activas y
recursos aplicados en el aula.
Teorías
del Aprendizaje y Constructos
Fundamentos
teóricos (constructivismo, socioconstructivis=
mo ,
teoría de la ZDP , entre otros).
Contenidos
y Habilidades Matemáticas
Conocimientos
matemáticos abordados y tipos de pensamiento o habilidades promovi=
das.
Evaluación
y Desempeño
Enfoques
evaluativos, desempeño académico, análisis de result=
ados
o efectos de intervención.
Currículo
y Planificación Educativa
Análisis
de lineamientos curriculares, estructura del currículo y
planificación didáctica.
Cultura,
Contexto y Diversidad
Consideración
del entorno cultural, la etnomatemática y la
atención a poblaciones diversas.
Educación
Matemática por Nivel o Región
Especificidad
del nivel educativo o análisis por región geográfica=
o
contexto institucional.
Factores
Afectivos y Sociales
Emociones,
actitudes, motivación, relaciones interpersonales y ambiente de au=
la.
Interdisciplinariedad
y STEM
Articulación
de las matemáticas con otras áreas del conocimiento, proyec=
tos
integradores o enfoques STEM .
Como parte del análisis de contenido de=
los
artículos seleccionados mediante la metodología PRISMA, se
diseñó una matriz categorial que permitió organizar la
información extraída de los estudios incluidos. Esta matriz
conceptual agrupó los hallazgos en 10 categorías
temáticas, enfoques de aprendizaje y enseñanza, estrategias y
métodos pedagógicos, teorías del aprendizaje y
constructos, contenidos y habilidades matemáticas, evaluación=
y
desempeño, currículo y planificación educativa, cultur=
a y
diversidad, educación matemática por nivel o región,
factores afectivos y sociales, e interdisciplinariedad y STEM .
El uso de la matriz posibilita un análi=
sis
comparativo y transversal de los estudios, identificando relaciones, patron=
es
recurrentes, vacíos investigativos y proyecciones teóricas. E=
ste
recurso facilita la organización estructurada de la informació=
;n
extraída, permitiendo establecer conexiones entre enfoques,
metodologías y hallazgos, lo que enriquece la interpretación
crítica de los resultados (Lizarazo & Molina, 2021; Aromataris & Pearson, 2014). La categorizaci&oacu=
te;n
se construyó siguiendo el enfoque cualitativo sugerido por
Hernández-Sampieri, Fernández-Collado y Baptista-Lucio (2022),
combinando codificación abierta con agrupación por afinidad
conceptual.
En la Tabla 3 se presenta la estructura final =
de
las categorías utilizadas en el análisis. Con esta matriz se
definieron como categorías conceptuales: enfoques de aprendizaje y
enseñanza, estrategias y métodos pedagógicos,
teorías del aprendizaje, contenidos y habilidades matemáticas,
evaluación y desempeño, currículo y planificació=
;n
educativa, cultura y diversidad, niveles educativos o contextos regionales,
factores afectivos y sociales e interdisciplinariedad y STEM .
Estas categorías permiten analizar
cómo interactúan los factores pedagógicos, sociocultur=
ales
y emocionales en la enseñanza de las matemáticas, así =
como
identificar tendencias, vacíos y proyecciones en la investigaci&oacu=
te;n
actual. Estudios recientes destacan la importancia de emplear Marcos
analíticos amplios y multidimensionales para captar la diversidad de
enfoques y prácticas en educación matemática. (Juandi et al., 2021; Rehman et al., 2024).
Tabla 3
Matriz de
categorías conceptuales identificadas en los estudios analizados
Categor&iacut=
e;a
Descripci&oac=
ute;n
del contenido analizado
Enfoques
de Aprendizaje y Enseñanza
Modelos
didácticos, teorías implícitas de enseñanza y
tendencias pedagógicas en matemáticas.
Estrategias
y Métodos Pedagógicos
Técnicas
específicas de instrucción, metodologías activas y
recursos aplicados en el aula.
Teorías
del Aprendizaje y Constructos
Fundamentos
teóricos (constructivismo, socioconstructivis=
mo ,
teoría de la ZDP , entre otros).
Contenidos
y Habilidades Matemáticas
Conocimientos
matemáticos abordados y tipos de pensamiento o habilidades promovi=
das.
Evaluación
y Desempeño
Enfoques
evaluativos, desempeño académico, análisis de result=
ados
o efectos de intervención.
Currículo
y Planificación Educativa
Análisis
de lineamientos curriculares, estructura del currículo y
planificación didáctica.
Cultura,
Contexto y Diversidad
Consideración
del entorno cultural, la etnomatemática y la
atención a poblaciones diversas.
Educación
Matemática por Nivel o Región
Especificidad
del nivel educativo o análisis por región geográfica=
o
contexto institucional.
Factores
Afectivos y Sociales
Emociones,
actitudes, motivación, relaciones interpersonales y ambiente de au=
la.
Interdisciplinariedad
y STEM
Articulación
de las matemáticas con otras áreas del conocimiento, proyec=
tos
integradores o enfoques STEM .
Cada artículo fue clasificado seg&uacut=
e;n
las categorías en las que realizaba un aporte sustantivo, lo que
permitió identificar patrones comunes y vacíos temátic=
os.
Esta herramienta metodológica facilitó una lectura crí=
tica
y sistemática de las contribuciones, y aportó a la interpreta=
ción
rigurosa de los resultados. Se constituyó en un insumo clave para
integrar la dimensión sociocultural y crítica en el desarrollo
del pensamiento matemático. Como lo señala Hendriyanto
et al. (2023), La organización sistemática de los estudios a
través de categorías temáticas permite visibilizar
tendencias y orientar el análisis hacia una comprensión
más contextualizada y situada del conocimiento matemático.
Análisis
estadístico descriptivo
El análisis estadístico se
llevó a cabo a partir de datos recopilados manualmente por los
investigadores a partir de la selección de documentos realizada
empleando la metodología PRISMA. Por tal motivo, se diseñ&oac=
ute;
una tabla que agrupó diferentes variables para responder a las pregu=
ntas
de investigación. Estas variables incluyeron el título y cuar=
til
de la revista, el año de publicación, el total de citas, las
instituciones participantes, y el número de países involucrad=
os.
Se elaboraron tablas de frecuencia para variables como instituciones
educativas, países y autores, con el propósito de identificar
patrones relevantes en el total de citaciones. Estas variables se clasifica=
ron
de mayor a menor según el número de citas, y se generaron
gráficos estadísticos para ilustrar estas tendencias.
RESULTADOS
A partir de la revisión sistemát=
ica
desarrollada bajo los lineamientos de la metodología PRISMA 2020 (Pa=
ge
et al., 2021), se analizaron 28 estudios sobre el desarrollo del pensamiento
matemático en la educación básica primaria. Para ello,=
se
utilizó la Tabla 2 de análisis y comparación que
permitió organizar y contrastar aspectos clave de los estudios, tales
como sus propósitos, diseños metodológicos,
población participante, técnicas y análisis de la
información, principales resultados, aportes teóricos,
limitaciones y proyecciones.
Análisis=
y
comparación de estudios seleccionados
En relación con los propósitos de
los estudios analizados, se identificó una tendencia común ha=
cia
la exploración de estrategias pedagógicas innovadoras (Fadzil & Osman, 2025; Gómez et al., 2022),=
la
integración de recursos tecnológicos (Su=
priadi
& Hanif , 2024), La evaluación de enf=
oques
curriculares (Pepin et al., 2017) la
comprensión de factores afectivos, sociales y culturales que inciden=
en
el aprendizaje matemático (Zuliana et al., 2025; Wardani
et al., 2024). Diferentes estudios hacen énfasis en la necesidad de
superar prácticas tradicionales de enseñanza y promover una
educación contextualizada, crítica y significativa (Rehman et
al., 2024; Ampadu et al., 2024). Así, los
propósitos no sólo abordan el cómo enseñar
matemáticas, sino que profundizan en el para qué, con
quién y desde dónde, lo cual refleja una visión
holística y transformadora del aprendizaje matemático. <=
/o:p>
La revisión evidenció una divers=
idad
metodológica que enriquece la comprensión del fenómeno.
Predominan los enfoques cualitativos, especialmente mediante estudios de ca=
so,
entrevistas, observaciones de aula y análisis documental (Wibowo et al., 2025; Donaldson, 1987). Estos permitie=
ron
explorar a profundidad las prácticas docentes y las percepciones de
estudiantes frente al aprendizaje matemático. Asimismo, algunos estu=
dios
adoptaron metodologías mixtas (Wardani e=
t al.,
2024; Rehman et al., 2024), Integrando instrumentos cuantitativos, como pru=
ebas
diagnósticas, rúbricas y encuestas, con análisis
cualitativos, lo cual favoreció la triangulación y solidez de=
los
hallazgos. En menor proporción, se identificaron estudios de enfoque
cuantitativo, principalmente de carácter experimental o correlacional
(Gómez et al., 2022), relacionados con el impacto de intervenciones
didácticas en el rendimiento académico.
En cuanto a las poblaciones participantes, la
mayoría de los estudios se enfocaron en estudiantes de primaria de l=
os
primeros cinco grados (Ampadu et al., 2024; Wardani et al., 2024), Aunque algunos incluyeron doce=
ntes
como actores clave para comprender las prácticas pedagógicas,
creencias y proceso de formación (Juandi =
et
al., 2021; Supriadi & =
Hanif ,
2024). Otros estudios incorporaron a directivos escolares y familias,
reconociendo el papel del contexto sociocultural en el desarrollo del
pensamiento matemático (Zuliana et al., 2025).
Respecto al análisis de datos, los estu=
dios
cualitativos recurrieron a técnicas como la codificación
temática, el análisis de contenido y la interpretación
narrativa (Wibowo et al., 2025; Supriadi
& Hanif , 2024). Por su parte, los enfoques
cuantitativos emplearon pruebas t, análisis de varianza (ANOVA) y
modelos estructurales (Rehman et al., 2024). Por otro lado, los enfoques de
investigación mixtos integraron ambos tipos de análisis para
garantizar una interpretación más profunda de los datos.
Por su parte, los estudios de enfoque mixto
integraron ambas perspectivas analíticas, lo que permitió una
interpretación más robusta y contextualizada de los
fenómenos educativos, combinando la profundidad cualitativa con la
generalización cuantitativa (Ampadu et a=
l.,
2024).
Los hallazgos evidencian que el desarrollo del
pensamiento matemático está estrechamente vinculado con la
implementación de enfoques pedagógicos orientados a la
resolución de problemas, el pensamiento crítico, la
metacognición y el trabajo colaborativo (Fadzil=
& Osman, 2025; Ampadu et al., 2024).
Además, se subraya la importancia de integrar tecnologías
digitales y prácticas contextualizadas que conecten el conocimiento
matemático con la vida cotidiana y los saberes culturales locales
(Zuliana et al., 2025; Hendriyanto et al., 2023=
). En
consecuencia, se plantea la necesidad de transformar las estructuras
curriculares y fomentar una enseñanza más inclusiva, situada y
coherente con los desafíos del siglo XXI.
Desde una perspectiva teórica, los estu=
dios
revisados se sustentan en su mayoría en enfoques constructivistas y
socioculturales, especialmente en las propuestas de Vygotsky, Piaget y Frei=
re,
así como en los aportes de la etnia matemática de D´
Ambrosio y La educación matemática crítica de Skovsmose y Bishop (Wibowo et al., 2025; Juandi et
al., 2021; Gómez et al., 2022). Estas corrientes coinciden en destac=
ar
que el aprendizaje matemático no puede desligarse del contexto
sociocultural, emocional y cognitivo del estudiante, y que debe orientarse
hacia la formación de sujetos críticos, creativos y culturalm=
ente
conscientes. De igual forma, algunas investigaciones incorporan Marcos
complementarios como las neurociencias, la teoría del aprendizaje
situado y la didáctica específica de las matemáticas
(Donaldson, 1987; Rehman et al., 2024).
Resultados
análisis PRISMA
En la Tabla 4 se presenta el análisis
bibliométrico de los artículos incluidos en la revisió=
n,
permitiendo identificar patrones de autoría, visibilidad
científica, productividad institucional y calidad de las publicacion=
es
relacionadas con enfoques colaborativos en la enseñanza
matemática. Del total de documentos analizados, el 89,29 % corresponde a artículos
científicos, mientras que solo el 10,71 % son libros. Este resultado evidencia =
una
clara preferencia por la publicación en revistas especializadas, lo =
cual
es coherente con la necesidad de difundir resultados de investigació=
n de
forma rápida y validada por pares. Por otro lado, el 64 % de los documentos se encuentran index=
ados
en bases de datos con categorización Q1 &=
#8211;Q4 , mientras que el 36 % no presenta información sobre
cuartil (N/A), lo que puede deberse a su reciente publicación, a su
aparición en revistas no indexadas o a su naturaleza como libros. Del
total con cuartil identificado, el 18 % pertenece a revistas Q1 , lo que indic=
a una
proporción significativa de publicaciones en medios de alto impacto.=
A
esto se suman las publicaciones en Q2 (11 %), Q3 (21<=
/span> %) y Q4 (14=
%), lo que refleja una presencia
equilibrada en revistas de distintos niveles de visibilidad científi=
ca.
La distribución por año de publicación muestra una cla=
ra
tendencia al aumento reciente en la producción académica. M&a=
acute;s
de la mitad de los documentos (54 %) se concentran entre 2023 (25 %), 2024 (18 %) y 2025 (11 %), lo que evidencia un notable auge
investigativo en los últimos tres años. Este patrón
sugiere un creciente interés en el tema de estudio y una
actualización constante del estado del arte.
Por otro lado, los enfoques de etnomatemática ,
aprendizaje activo y estudios curriculares son referentes temáticos.=
Las
revisiones sistemáticas y el aprendizaje basado en juegos está=
;n
entre los más citados. La etnomatemática=
aparece con cuartiles variados, lo que indica interés constante pero
disperso en cuanto a calidad editorial. Respecto al prestigio de las revist=
as,
no siempre se refleja en las citas. Algunas publicaciones con alto H-Index tienen poco impacto, mientras que trabajos en m=
edios
sin cuartil concentran muchas citas, como el ítem 20. El tema y la
antigüedad resultan más determinantes.
En colaboración institucional, no se
observa correlación directa con la citación. Algunos trabajos=
muy
citados tienen una sola institución, lo que sugiere que el enfoque y
diseño pesan más que el número de coautores
institucionales.
Se tienen estudios que abordan la educaci&oacu=
te;n
primaria y temprana edad, con foco en fundamentos numéricos,
currículo inicial y formación docente. Esto evidencia una
oportunidad para comparar enfoques efectivos en ese nivel, como juego y etnomatemática . El valor H-Index
no siempre se relaciona con un alto número de citas. Por ejemplo,
artículos en revistas de alto H-Index co=
mo Frontiers in Psychology o=
Heliyon no figuran entre los más citados, mien=
tras
que revistas sin cuartil, lidera en impacto en citaciones. Esto refuerza la
idea de que el tema y la antigüedad del documento son factores m&aacut=
e;s
determinantes que el prestigio editorial. En cuanto a la colaboración
interinstitucional, no se evidencia una correlación clara con el
número de citas. Algunos trabajos muy citados provienen de una sola
institución, mientras que otros con múltiples colaboraciones
tienen un impacto moderado. Esto sugiere que el enfoque temático y la
metodología pesan más que el número de coautores o
instituciones.
Tabla 4
Análisis
bibliométrico de los 28 artículos seleccionados sobre
métodos colaborativos en la enseñanza de las matemátic=
as (2020–2025)
No.
Type
Item
type
Authors
Title
Journal
Publication
year
Publisher
Cited
Number
of institutions <=
span
class=3DSpellE>involved
Cuarti=
l
H-Index
1=
paper
Journal Article
Fadzil , N. M., & Osman, S.
Scoping the landscape: Comparative review of collaborative learning
methods in mathematical problem-solving pedagogy
International Electronic Journal of Mathematics Education
2025
Modestum LTD 1=
1=
Q4
21
2=
Paper
Journal Article
Wibowo, S., Wangid , M. N., & Firda=
us, F.
M.
The relevance of Vygotsky's constructivism learning theory with the
differentiated learning primary schools
Journal of education and learning (EduLearn)
2025
Intelektual Pustaka Media <=
span
class=3DSpellE>Utama
45
2=
Q4
6
3=
Paper
Journal Article
Zulian=
a,
E., Dwiningrum , S. I. A., Wijaya ,
A., & Hukom , J.
The effect of culture-based mathematics learning instruction on
mathematical skills: a meta-analytic study
Journal of Education and Learning (EduLearn)
2025
Intelektual Pustaka Media <=
span
class=3DSpellE>Utama 11
4=
Q4
6
4=
Paper
Journal Article
Rehman, N., Huang, X., Mahmood, A., AlGerafi<=
/span>,
M. A., & Javed , S.
Project-based learning as a catalyst for 21st-Century skills and
student engagement in the math classroom
Heliyon 2024
Elsevi=
er Ltd
21
1=
Q1
115
5=
Paper
Journal Article
Ampadu , E., Narh-Kert , M.,=
&
Yeboah, R.
Teachers’, Researchers’, and Educators’
Partnerships: The Effect of Co-Creation on Pupils’ Problem-Solving
Performance in Mathematics
Educat=
ion Sciences
2024
Multidisciplinary Digital Publishing Institute
(MDPI )
0=
2=
Q1
68
6=
Paper
Journal Article
Supriyadi , E., Turmudi , T=
., Dahlan , J. A., & Juandi, D.
Development of Sundanese Gamelan Ethnomathematics E-Module for Jun=
ior
High School Mathematics Learning.
Malaysian Journal of Learning and Instruction
2024
Universiti Utara Malaysia =
Press
11
1=
Q1
20
7=
Paper
Journal Article
Supriadi , S., & Hanif, M.
Ethnomathematics Mobile Learning for Pre-service Elementary Teache=
rs:
Creative Thinking Obstacles and Didactic Design Analysis AsTEN Journal of Teacher Education <=
/p>
2024
Association of Southeast Asian Teacher Education Network (AsTEN )
1=
1=
Q4
1
8=
Paper
Journal Article
Wardani , I. U., Ardana ,=
I.,
Suma, K., Margunayasa , I. G., & Sanjaya , D. B.
Mathematical Process Skills and Students' Interest in Learning
Mathematics through Traditional Games
Pakistan Journal of Life & Social Sciences
2024
Elite =
Scientific Publications =
0=
2=
N/A
15
9=
Paper
Journal Article
Hendriyanto , A., Priatna , N=
., Juandi , D., Dahlan , J. =
A.,
Hidayat, R., Sahara, S., & Muhaimin , L. H=
.
Learning Mathematics Using an Ethnomathematics Approach: A Systema=
tic
Literature Review
Journal of Higher Education Theory & Practice 2023
North
American Business Press
40
3=
N/A
14
10
Paper
Journal Article
Hamukonda , P., & Luneta, K.
Instructional Strategies Used by Junior Primary Teachers in the Os=
hana
Region of Namibia to Teach the Number Concept to Grade 1 Learners
SAGE o=
pen
2023
SAGE <=
span
class=3DSpellE>Publications Inc.0=
1=
Q1
74
11
Paper
Journal Article
Hui, H.
B., & Mahmud , M. S.
Influence of game-based learning in mathematics education on the
students’ cognitive and affective domain: A systematic review<=
/o:p>
Frontiers in psychology
2023
Frontiers Media SA
84
1=
Q2
212
12
Paper
Journal Article
Borji , V., & Farsani,
D.
Intended mathematics curriculum in grade 1: A comparative study
Eurasia Journal of Mathematics, Science and Technology Education
2023
Modestum LTD 8=
2=
N/A
63
13
Libro<=
o:p>
Libro<=
o:p>
Krasa , N., Tzanetopoulos,
K., & Maas , C.
How Children Learn Math The Science of =
Math
Taylor=
and
Francis Ltd.
2022
Taylor=
and
Francis Ltd.
6=
3=
N/A
N/A
14
Paper
Journal Article
Lidinillah , D. A. M., Rahman, R., Wah=
yudin ,
W., & Aryanto , S.
Integrating sundanese ethnomathematics=
into
mathematics curriculum and teaching: A systematic review from 2013 to 202=
0
Infinity Journal
2022
STKIP Siliwangi Bandung (IKIP
Siliwangi )
67
2=
Q3
11
15
Paper
Journal Article
Russo, J., Russo, T., & Roche, A.
Using Rich Narratives to Engage Students in Worthwhile Mathematics:
Children’s Literature, Movies and Short Films
Educat=
ion sciences
2021
Multidisciplinary Digital Publishing Institute
(MDPI )
15
2=
Q1
68
16
Libro<=
o:p>
Libro<=
o:p>
Nunes,=
T.,
& Bryant, P.
Using Mathematics to Understand the World: How Culture Promotes
Children's Mathematics
Taylor=
and
Francis Ltd.
2021
Taylor=
and
Francis Ltd.
16
=
N/A
N/A
17
Paper
Journal Article
Mahlambi , S. B.
Assessment for Learning as a Driver for Active Learning and Learner
Participation in Mathematics.
International Journal of Educational Methodology =
2021
Eurasian Society of Educational Research
12
1=
Q3
14
18
Paper
Journal Article
Tran, =
T.,
Nguyen, T. T., & Trinh T.
Mathematics Teaching in Vietnam in the Context of Technological
Advancement and the Need of Connecting to the Real World International Journal of Learning, Teaching and Educational
2020
Society for Research and Knowledge Management
19
3=
Q3
23
19
Libro<=
o:p>
Libro<=
o:p>
Jorgen=
sen,
R., & Dole , S.
Teaching Mathematics in Primary Schools
Taylor=
and
Francis Ltd.
2011
=
212
=
N/A
N/A
20
Paper
Journal Article
Anagün , S. S.
Teachers’ Perceptions about the Relationship between 21st
Century Skills and Managing Constructivist Learning Environments
Intern=
ational
Journal of Instruction
2018
Gate Association for Teaching and Education
367
1=
N/A
46
21
Paper
Journal Article
Sorge, S., Doorman, M., Maass , K., Straser , O., Hesse, A., Jonker, V., & Wijers , M.
Supporting mathematics and science teachers in implementing
intercultural learning
ZDM - International Journal on Mathematics Educatio=
n
2023
Spring=
er Verlag
14
3=
N/A
74
22
Paper
Journal Article
Umbara , U., Prabawanto =
, S.,
& Jatisunda , M. G.
Combination of mathematical literacy with ethnomathematics: How to
perspective sundanese culture
Infinity Journal
2023
STKIP Siliwangi Bandung (IKIP
Siliwangi )
17
3=
Q3
11
23
Paper
Journal Article
Panes-=
Chavarría,
R., Friz-Carrillo, M., Lazzaro-Salazar, M., & Sanhueza-Henríqu=
ez,
S.
Matem&=
aacute;tica,
cultura y práctica docente: un análisis de creencias y
elecciones socioculturales
Bolema - Mathematics
Education Bulletin
2018
BOLEMA Departamento de Matema=
tica
9=
2=
Q3
16
24
Paper
Journal Article
Anchet=
a-Arrabal,
A., & Segura, C.
Comparing Mathematics Early Years Education in Spain, Portugal and
Slovenia
Mathematics
2022
Multidisciplinary Digital Publishing Institute
(MDPI )
3=
2=
Q2
84
25
Paper
Journal Article
Suzana , Y., Sabaruddin =
, S., Maharani , S., & Abidin, Z.
Mathematics learning through character education based on integrat=
ed
thematic learning: a development of learning materials <=
/p>
Infinity Journal
2021
STKIP Siliwangi Bandung (IKIP
Siliwangi )
5=
1=
Q3
11
26
Paper
Journal Article
McFeetors , P. J., & Palfy =
, K.
Educative experiences in a games contex=
t:
Supporting emerging reasoning in elementary school mathematics
The Journal of Mathematical Behavior
2018
Elsevi=
er
Inc.
61
2=
N/A
N/A
27
Paper
Journal Article
Land, T. J., Bartell, T. G., Drake, C., Foote, M. Q., Roth McDuffi=
e,
A., Turner, E. E., & Aguirre, J. M.
Curriculum spaces for connecting to children’s multiple
mathematical knowledge bases
Journal of Curriculum <=
span
class=3DSpellE>Studies 2019
Taylor=
and
Francis Ltd.
32
7=
N/A
75
28
Paper
Journal Article
Lamichhane , B. R., & Luitel, B.
C.
A critical rendition to the development of mathematics education in
Nepal: an anticolonial proposal
British Journal for the History of Mathematics
2023
Taylor=
and
Francis Ltd.
8=
1=
Q2
9
La Figura 2 muestra los principales resultados=
del
análisis bibliométrico, destacando a los autores con mayor
producción científica, la distribución geográfi=
ca
de los estudios y la relación entre el número de documentos y=
el
total de citas por país. En términos de impacto individual, el
autor con mayor número de citas en el corpus analizado es Anagün , S. S., con un total de 367 citas. Le sig=
uen Dole , S. y Jorgensen, R., ambos con 208 citas, lo que
sugiere una fuerte presencia de sus trabajos en la discusión
académica actual. En la revisión bibliométrica, se
identificó que Indonesia lidera en cantidad de publicaciones (36),
aunque solo 4 de ellas están indexadas en cuartiles Q1
o Q2 , lo que sugiere una amplia producció=
;n
científica, pero con menor presencia en revistas de alto impacto. En
contraste, China presenta un equilibrio sobresaliente: de sus 5 publicacion=
es,
todas se encuentran en revistas Q1 , lo cual evi=
dencia
un fuerte posicionamiento en medios de alta visibilidad internacional.
Australia también destaca, con 5 publicaciones, de las cuales 3 se
ubican en Q1 , reflejando un esfuerzo por public=
ar en
revistas de prestigio. Le siguen países como EE. UU. (12 publicaciones), Chile y Malasia
(ambos con 5), aunque sin una proporción tan alta en cuartiles super=
iores.
Figura 2
Visualizaci&oac=
ute;n
bibliométrica de la producción científica sobre
métodos colaborativos en la enseñanza de las matemátic=
as
(2020–2025)
Nota: figura 2.a ) autores. 2.b )
Número de trabajos por país.
Gráfico =
1
Producció=
;n
del país
El gráfico 1 por su parte, muestra la
distribución de la producción científica y el
número de citas por universidad. Los resultados muestran que Universitas Pendidikan In=
donesia
encabeza la lista con 13 publicaciones y un total de 462 citas, lo que la p=
osiciona
como la institución con mayor producción y visibilidad
académica en el corpus analizado. Le sigue Griffith University
(Australia), con solo 2 publicaciones, no obstante, un impacto importante de
416 citas, lo que evidencia la alta calidad y repercusión de sus
contribuciones. En tercer lugar, Eskişehir Osmang=
azi
Üniversitesi (Turquía) aparece con =
una
única publicación que alcanza 367 citas, lo cual refleja un
trabajo altamente influyente. Este patrón también se observa =
en
otras instituciones como Muriel Martin School y=
la
University of Alberta, ambas con un solo docume=
nto y
61 citas cada una, lo que sugiere contribuciones puntuales, pero de alto va=
lor
académico.
Gráfico =
2
Producció=
;n
científica y citación por universidad en estudios sobre
métodos colaborativos en la enseñanza de las matemátic=
as
(2020–2025)
DISCUSIÓN
Limitaciones en=
los
estudios
Las limitaciones identificadas en los estudios
analizados se relacionan, en primer lugar, con el alcance restringido de las
muestras y la delimitación geográfica. Una proporción
significativa de los trabajos se desarrolló en instituciones urbanas,
privadas o con condiciones favorables, lo cual dificulta extrapolar los
resultados a contextos rurales o a poblaciones con mayores desigualdades
educativas (Ampadu et al., 2024; Wardani
et al., 2024). Este sesgo contextual limita la representatividad y la
aplicabilidad general de los hallazgos.
De la misma manera, varios estudios evidencian
limitaciones metodológicas importantes, como la falta de seguimiento
longitudinal o la escasa sistematización de los instrumentos de
recolección de datos. Por ejemplo, en investigaciones como la de Reh=
man
et al. (2024) y Supriadi y Hanif
(2024), Aunque se implementan intervenciones pedagógicas innovadoras,
los resultados reportados se limitan al corto plazo, lo que dificulta valor=
ar
la sostenibilidad y el impacto duradero de los aprendizajes.
Otra limitación frecuente es la brecha
entre los marcos teóricos y la práctica observada. Aunque muc=
hos
estudios se fundamentan en teorías socioculturales o críticas=
, en
varios casos no se logra una articulación clara entre dichos enfoque=
s y
las estrategias pedagógicas implementadas (Juan=
di
et al., 2021; Gómez et al., 2022). Esto deja vacíos en la
aplicabilidad real de los modelos como el aprendizaje situado, el andamiaje=
, la
educación matemática crítica, y dificulta su
replicabilidad en el aula. Además, se identificó una escasez =
de
investigaciones colaborativas, interdisciplinarias o interinstitucionales, =
lo
cual reduce la posibilidad de abordar el aprendizaje matemático desde
una perspectiva holística. Estudios como el de Zuliana et al. (2025)
destacan la necesidad de incorporar múltiples voces, actores y
escenarios para comprender la complejidad del pensamiento matemático=
en
contextos diversos.
Retos y
proyecciones
En cuanto a los retos y proyecciones, los estu=
dios
convergen en señalar la urgencia de transformar las prácticas
pedagógicas tradicionales, que aún estén centradas en =
la
memorización, la repetición mecánica y la
resolución de ejercicios descontextualizados. Se plantea entonces la
necesidad de avanzar hacia metodologías activas, culturalmente
relevantes y críticas que favorezcan los procesos de pensamiento, la
argumentación y la resolución de problemas reales (Fadzil & Osman, 2025; Hendri=
yanto
et al., 2023). Un segundo reto determinante es el fortalecimiento de la
formación docente, tanto inicial como continua. Esto implica incorpo=
rar
enfoques que reconozcan la diversidad sociocultural de los estudiantes,
integren tecnología educativa y promuevan el desarrollo de competenc=
ias
matemáticas situadas (Supriadi & Hanif , 2024; Wardani et a=
l.,
2024). Varios estudios destacan que el cambio en las prácticas
educativas debe partir de una transformación profunda en la
concepción que tienen los maestros sobre las matemáticas, el
currículo y el aprendizaje.
El avance de la inteligencia artificial y de l=
as
tecnologías emergentes está abriendo nuevas posibilidades para
transformar los procesos de enseñanza y aprendizaje de las
matemáticas. Algunos estudios revisados destacan la incorporaci&oacu=
te;n
de recursos digitales que promueven la visualización, la
simulación y la personalización del aprendizaje, lo cual resu=
lta
fundamental para atender a la diversidad de estilos y ritmos de los estudia=
ntes
(Supriadi & Hanif,
2024). En esta línea, se propone explorar el uso pedagógico de
las IA como una herramienta para el diagnóstico formativo, la
retroalimentación automatizada y el acompañamiento personaliz=
ado,
contribuyendo a prácticas más inclusivas y efectivas.
De igual forma, es importante integrar
metodologías activas que fortalezcan la participación estudia=
ntil
y el desarrollo de habilidades asociadas a los retos y desafíos del
siglo actual. Estrategias como el aprendizaje basado en proyectos, el traba=
jo
colaborativo, el uso de contextos culturales, enfoques STEM
han demostrado que favorecen la comprensión conceptual, la
construcción de sentido y el pensamiento crítico (Rehman et a=
l.,
2024; Zuliana et al., 2025). Además, la incorporación de enfo=
ques
adaptativos, que respondan a las necesidades y trayectorias de aprendizaje =
de
cada estudiante se vislumbra como una línea de innovación cla=
ve
para enriquecer la práctica pedagógica. Estas transformaciones
requieren no sólo el uso de nuevas herramientas, sino un cambio prof=
undo
en el rol docente, concepciones del conocimiento matemático, la
planificación curricular, enfoques de evaluación, entre otros
aspectos que abren el camino a propuestas más flexibles, contextuale=
s y
significativas.
Análisis=
de
la matriz de categorías conceptuales
El análisis de los 28 estudios incluido=
s en
la revisión permitió identificar 10 categorías
conceptuales principales, relacionadas con el desarrollo del pensamiento
matemático en la educación básica: enfoques de aprendi=
zaje
y enseñanza; estrategias y métodos pedagógicos;
teorías del aprendizaje; contenidos y habilidades matemáticas;
evaluación y desempeño; currículo y planificació=
;n
educativa; cultura, contexto y diversidad; nivel o región educativa;
factores afectivos y sociales; interdisciplinariedad y STEM .
Tendencias
predominantes
En la figura 4 se observa que las
categorías más recurrentes fueron enfoques de aprendizaje y
enseñanza, estrategias y métodos pedagógicos, presente=
s en
23 de los 28 estudios (82%), lo que revela una fuerte orientación ha=
cia
la transformación de las prácticas docentes. Estudios como lo=
s de
Fadzil y Osman (2025), Amp=
adu
et al. (2024) y Liljedahl (2006) destacan propu=
estas
que transitan del modelo tradicional hacia prácticas activas,
colaborativas y culturalmente situadas.
En segundo lugar, se evidencia una importante
presencia de contenidos y habilidades matemáticas, teorías del
aprendizaje y constructos, representadas en 19 estudios (68%) y 18 estudios
(64%), respectivamente. Esto sugiere un interés sostenido por compre=
nder
no sólo el que se enseña, sino también cómo se
construye el conocimiento matemático desde marcos teóricos co=
mo
el constructivismo, la teoría de la ZDP =
de
Vygotsky y el aprendizaje situado (Wibowo et al=
.,
2025; Juandi et al., 2021; Donaldson, 1987).
Las categorías de evaluación y
desempeño (17 estudios, 61%) y cultura, contexto y diversidad (16
estudios, 57%) Reflejan una preocupación emergente por el impacto re=
al
de las prácticas pedagógicas y por la necesidad de que estas
respondan a la realidad de socioculturales de los estudiantes. Por ejemplo,
Zuliana et al. (2025) y Hendriyanto et al. (202=
3)
Integran el enfoque no matemático como una vía para
contextualizar el aprendizaje y hacerlo más significativo.
Gráfico =
3
Frecuencia de
aparición de categorías conceptuales
Categorí=
as
complementarias y emergentes
El análisis también muestra una
representación significativa de las categorías currícu=
lo y
planificación educativa; educación matemática por nive=
l o
región, presentes en el 50% y el 46% de los estudios respectivamente.
Estas dimensiones permiten situar las propuestas didácticas en
relación con el marco institucional, las políticas educativas=
y
las particularidades geográficas, como lo ilustran estudios como el =
de Supriyadi et al. (2024) y Caprar=
o
et al. (2012). Por otra parte, las categorías factores afectivos y
sociales (13 estudios, 46%) e interdisciplinariedad y =
STEM
(12 estudios, 43%) emergen como líneas de análisis en
crecimiento. Investigaciones =
como
las de Wardani et al. (2024) y Gómez &am=
p;
Soto (2022) muestran como el componente emocional, las actitudes y el traba=
jo
interdisciplinar influyen en la motivación, el desempeño y la
participación en el aprendizaje matemático. =
Desde un análisis cualitativo global, la
matriz revela un cuerpo de literatura diverso que convergen en reconocer qu=
e el
desarrollo del pensamiento matemático no puede entenderse de forma
aislada. Los estudios tienden a integrar múltiples categorías=
en
una misma investigación, lo que indica una comprensión m&aacu=
te;s
compleja e interrelacionada del fenómeno. Por ejemplo, Supriyadi et al. (2024) Abordan simultáneament=
e 9 de
las 10:00 categorías mostrando cómo la innovación
pedagógica exige una mirada integral y articulada. =
CONCLUSIÓN
La revisión sistemática realizada
bajo los lineamientos PRISMA 2020 permitió identificar y analizar 28
estudios basados en el desarrollo del pensamiento matemático en la
educación básica primaria, organizados mediante una tabla
análisis y una matriz de categorías conceptuales como, estrat=
egias
basadas en la resolución de problemas, el trabajo colaborativo, la <=
span
class=3DSpellE>etnomatemática , el uso de tecnologías
digitales. Los hallazgos evidencian una producción investigativa ric=
a y
diversa, orientada principalmente hacia la transformación de las
prácticas pedagógicas y la contextualización del
aprendizaje matemático.
Los estudios revisados coinciden en la necesid=
ad
de superar enfoques tradicionales basados en la transmisión
mecánica del conocimiento y avanzar hacia propuestas didáctic=
as
activas, reflexivas y situadas. Las estrategias basadas en la resoluci&oacu=
te;n
de problemas, el trabajo colaborativo la de tu matemática el uso de
tecnologías digitales Y la integración del contexto sociocult=
ural
se consolidan como prácticas efectivas para promover el pensamiento
lógico, crítico y creativo de los estudiantes (Fadzil & Osman, 2025; Supriy=
adi
et al., 2024; Zuliana et al., 2025).
Esta revisión documental permite conclu=
ir
que el pensamiento matemático se construye de manera compleja,
transversal y multidimensional y que la diversidad categorial de los estudi=
os
seleccionados sugiere que la enseñanza de las matemáticas
requiere no sólo de estrategias eficaces, sino también de
fundamentos epistemológicos sólidos, compromisos con el conte=
xto
y apertura de enfoques interdisciplinarios. Además, evidencia un
tránsito hacia perspectivas críticas y emancipadoras que busc=
an
formar sujetos capaces de aplicar el pensamiento matemático a la vida
cotidiana y al análisis y transformación de sus realidades.
Finalmente, se proyecta como prioridad la
necesidad de consolidar políticas y prácticas educativas que
reconozcan la diversidad de los estudiantes, potencien la formación
docente continua y fomenten la innovación didáctica, la
investigación en el aula y el trabajo colaborativo entre docentes,
investigadores y comunidades. Se aboga por un modelo de enseñanza de=
las
matemáticas más flexible, interdisciplinar, ético y
socialmente comprometido, capaz de responder a los desafíos contempo=
ráneos
de la educación básica (Ampadu et=
al.,
2024; Zuliana et al., 2025).
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