Página 691
Martínez, L. y Alcivar , G.(2025). El arte de
incluir: desarrollo de murales cubistas como
herramienta pedagógica inclusiva. Revista
InveCom, 5(1), e501058.
https://doi.org/10.5281/zenodo.11479523
Mendoza, C., Camacho, J., Mendoza, E.,
Mendoza, E. y Bonilla, D. (2025). Artificial
Intelligence in Higher Education: Predictive
Analysis of Attitudes and Dependency
Among Ecuadorian University Students.
Sustainability, 17(17), 7741.
https://doi.org/10.3390/su17177741
Merlos, L. (2022). Danza en el contexto escolar.
Trayectorias de un contenido artístico-
corporal en la provincia de Buenos Aires
(1983-2018). *Espacios en Blanco. Serie
Indagaciones, 32*(2), 45–56.
https://doi.org/10.37177/unicen/eb32-330
Mesquita, J., Macedo, E. y Araújo, H. (2025).
Dancing Dialogues: Mapping and
Discussing Access to Dance in Portuguese
Upper-Secondary Schools. *Education
Sciences, 15*(7), 905.
https://doi.org/10.3390/educsci15070905
Oksanen, A., Cvetkovic, A., Akin, N., Latikka,
R., Bergdahl, J., Chen, Y. y Savela, N.
(2023). Artificial intelligence in fine arts: A
systematic review of empirical research.
Computers in Human Behavior: Artificial
Humans, 1(2), 100004.
https://doi.org/10.1016/j.chbah.2023.10000
4
Page, M, McKenzie, J, Bossuyt, P., Boutron, I.,
Hoffmann, T., Mulrow, C., Shamseer, L.,
Tetzlaff, J, Akl, E, Brennan, S., Chou, R.,
Glanville, J., Grimshaw, J., Hróbjartsson, A.,
Lalu, M, Li, T., Loder, E., Mayo, E.,
McDonald, S., … Moher, D. (2021). The
PRISMA 2020 statement: An updated
guideline for reporting systematic reviews.
BMJ, 372, n71.
https://doi.org/10.1136/bmj.n71
Paredes, A. (2024). Cátedra ECA: Fomento del
Pensamiento Crítico y Colectivo a través de
Manifestaciones Culturales y Artísticas:
ECA Chair: Fostering Critical and Collective
Thinking through Cultural and Artistic
Manifestations. Revista Scientific, 9*(31),
275–295.
https://doi.org/10.29394/Scientific.issn.254
2-2987.2024.9.31.13.275-295
Qianwen, L. (2024). Application of motion
capture technology based on wearable
motion sensor devices in dance body motion
recognition. Measurement: Sensors, 32,
101055.
https://doi.org/10.1016/j.measen.2024.1010
55
Qin, Y. y Meng, L. (2024). The research on
dance motion quality evaluation based on
spatiotemporal convolutional neural
networks. Alexandria Engineering Journal,
114, 46–54.
https://doi.org/10.1016/j.aej.2024.09.038
Qu, J. (2024). A dance movement quality
evaluation model using transformer encoder
and convolutional neural network. Scientific
Reports, 14, 32058.
https://doi.org/10.1038/s41598-024-83608-
9
Rannau, J., Contreras, M., Ramírez, G., Zúñiga,
M. y Poblete, F. (2025). Danzas Folklóricas
en instituciones escolares: hacia una
pedagogía con sentido cultural, histórico y
territorial. Revista Espacios, 46(5), 300–311.
https://doi.org/10.48082/espacios-
25v46n05p27
Rethlefsen, M, Kirtley, S., Waffenschmidt, S.,
Ayala, A, Moher, D., Page, M, Koffel, J. y
PRISMA-S Group. (2021). PRISMA-S: An
extension to the PRISMA statement for
reporting literature searches in systematic
reviews. Journal of the Medical Library
Association, 109(2), 174–200.
https://doi.org/10.5195/jmla.2021.962
Rossel, A. (2025). Inteligencia Artificial en la
educación artística: Una perspectiva sobre su
integración en la estética andina. Aportes,
1(38), 95–104.
https://doi.org/10.56992/a.v1i38.503
Runge, I., Hebibi, F. y Lazarides, R. (2025).
Acceptance of pre-service teachers towards
artificial intelligence (AI): The role of AI-
related teacher training courses and AI-
TPACK within the technology acceptance
model. Education Sciences, 15(2), 167.
https://doi.org/10.3390/educsci15020167