Desarrollo de una interfaz digital interactiva para el refuerzo extracurricular de la escritura en niños con disgrafía periférica
DOI:
https://doi.org/10.23857/dc.v12i2.4884Palabras clave:
Disgrafia Periférica, Métodos Pedagógicos, Diseño UX/UI, Aplicación Interactiva, Estimulación Cognitiva, NiñosResumen
El Centro de Psicorehabilitación Integral FUNUVI, ubicado en Quito, atiende a niños con disgrafía periférica, un trastorno que afecta la motricidad fina y limita el desarrollo de habilidades escriturales. A pesar de las intervenciones terapéuticas presenciales, se identificó una brecha en el refuerzo extracurricular, especialmente en el entorno familiar, debido a la ausencia de herramientas digitales adaptadas.
El objetivo del estudio fue desarrollar un prototipo digital interactivo orientado al refuerzo de la escritura desde el hogar, integrando principios de diseño centrado en el usuario y estrategias multisensoriales. Se empleó la metodología Design Thinking, aplicando técnicas de observación, entrevistas, encuestas y pruebas piloto con usuarios reales.
Los resultados evidenciaron una alta aceptación del prototipo, con una media de evaluación UX/UI de 4.82/5, así como un incremento en la motivación, participación y autonomía de los niños durante las actividades de escritura. Asimismo, se observó mayor involucramiento familiar en el proceso de aprendizaje.
Se concluye que el diseño de herramientas digitales inclusivas constituye una estrategia efectiva para complementar la intervención terapéutica en niños con disgrafía, favoreciendo el aprendizaje significativo, la motivación y la continuidad del proceso educativo fuera del entorno clínico.
Citas
Alsharhi, M., et al. (2025). Genetic diversity and novel haplotypes of Apis mellifera jemenitica on the Arabian Peninsula: Insights from mtDNA markers. Frontiers in Genetics. https://doi.org/10.3389/fgene.2025.1532988.
Bovo, S., Utzeri, V. J., Ribani, A., Cabbri, R., & Fontanesi, L. (2022). A genotyping by sequencing approach can disclose Apis mellifera population genomic information contained in honey environmental DNA. Scientific Reports, 12, 19541. https://doi.org/10.1038/s41598-022-24101-z
Buswell, V. G., Huml, J. V., Ellis, J. S., Brown, A., & Knight, M. E. (2024). Whole genome analyses of introgression in British and Irish Apis mellifera mellifera. Journal of Apicultural Research. https://doi.org/10.1080/00218839.2024.2411483
Chibani Bahi Amar, A., Tabet Aoul, N., Fridi, R., Vignal, A., & Canale-Tabet, K. (2024). New COI-COII mtDNA region haplotypes in the endemic honey bees Apis mellifera intermissa and Apis mellifera sahariensis (Hymenoptera: Apidae) in Algeria. Insects, 15(7), 549. https://doi.org/10.3390/insects15070549
Daly, H. V., & Balling, S. S. (1978). Identification of Africanized honeybees in the Western Hemisphere by discriminant analysis. Journal of the Kansas Entomological Society, 51(4), 857–869.
Daly, H. V., Hoelmer, K., Norman, P., & Allen, T. (1982). Computer-assisted measurement and identification of honey bees. Annals of the Entomological Society of America, 75(5), 591–594.
Everitt, T., Wallberg, A., Christmas, M. J., Olsson, A., Hoffmann, W., & Neumann, P. (2023). The genomic basis of adaptation to high elevations in Africanized honey bees. Genome Biology and Evolution, 15(9), evad157. https://doi.org/10.1093/gbe/evad157
Francoy, T. M., Wittmann, D., Drauschke, M., Müller, S., Steinhage, V., Bezerra-Laure, M. A. F., De Jong, D., & Gonçalves, L. S. (2008). Identification of Africanized honey bees through wing morphometrics: Two fast and efficient procedures. Apidologie, 39, 488–494. https://doi.org/10.1051/apido:2008028
Garnery, L., Solignac, M., Celebrano, G., & Cornuet, J. M. (1993). A simple test using restricted PCR-amplified mitochondrial DNA to study the genetic structure of Apis mellifera L. Experientia, 49, 1016–1021. https://doi.org/10.1007/BF02125651
Henriques, D., Lopes, A. R., Low, M., & Pinto, M. A. (2025). Human-mediated introgression and Varroa destructor shaped the genetic structure of honey bee populations in the Azores. Scientific Reports. https://doi.org/10.1038/s41598-025-08950-y
Kerr, W. E. (1967). The history of the introduction of African bees in Brazil. South African Bee Journal, 39, 33–35.
Knoll, A., et al. (2024). Haplotype diversity in mtDNA of honeybee in the Czech Republic confirms complete replacement of autochthonous population with the C lineage. Insects, 15(7), 495. https://doi.org/10.3390/insects15070495
Leroy, T., et al. (2024). Inferring long-term and short-term determinants of genetic diversity in honey bees: Beekeeping impact and conservation strategies. Molecular Biology and Evolution, 41(12), msae249. https://doi.org/10.1093/molbev/msae249
Litvinoff, L., Menescardi, F., Porrini, L., Russo, R., Liendo, M. C., Nucci, A., Lusarreta, E., Ventura, R., Espasandin, L., Monmany-Garzia, A. C., Scannapieco, A. C., & Galindo-Cardona, A. (2023). Morphometric and genetic characterization as tools for selection of Apis mellifera (Hymenoptera: Apidae) stocks in an area of natural hybridization in Argentina. Frontiers in Insect Science, 2, 1073999. https://doi.org/10.3389/finsc.2022.1073999
Masaquiza, D., Ferrán, M. O., Guamán, S., Naranjo, E., Vaca, M., Curbelo, L. M., & Arenal, A. (2023). Geometric morphometric analysis of wing shape to identify populations of Apis mellifera in Camagüey, Cuba. Insects, 14(3), 306. https://doi.org/10.3390/insects14030306
Masaquiza, D., Rodríguez, L. C., Zapata, J., Monar, J., Vaca, M., Porrini, L., Eguaras, M., Daniele, M., Romero, D., & Arenal, A. (2024). Use of wing geometric morphometric analysis and mtDNA to identify Africanization of Apis mellifera in the central highlands of Ecuador. Insects, 15(8), 628. https://doi.org/10.3390/insects15080628
Mazzoni, M., Loidolt, F., Kersten, S., Amulen, D. R., Vudriko, P., Meyer, P., et al. (2025). Genomic landscape of high-altitude adaptation in East African mountain honey bees (Apis mellifera). Ecology and Evolution, 15, e71846. https://doi.org/10.1002/ece3.71846
Meixner, M. D., Pinto, M. A., Bouga, M., Kryger, P., Ivanova, E., & Fuchs, S. (2013). Standard methods for characterising subspecies and ecotypes of Apis mellifera. Journal of Apicultural Research, 52(4), 1–28. https://doi.org/10.3896/IBRA.1.52.4.05
Oleksa, A., C?uia, E., Siceanu, A., Puškadija, Z., Kova?i?, M., Pinto, M. A., Rodrigues, P. J., Hatjina, F., Charistos, L., Bouga, M., Prešern, J., Kandemir, ?., Raši?, S., Kusza, S., & Tofilski, A. (2023). Honey bee (Apis mellifera) wing images: A tool for identification and conservation. GigaScience, 12, giad019. https://doi.org/10.1093/gigascience/giad019
Parejo, M., Talenti, A., Richardson, M., et al. (2023). AmelHap: Leveraging drone whole-genome sequence data to create a honey bee HapMap. Scientific Data, 10, 198. https://doi.org/10.1038/s41597-023-02097-z
Payró de la Cruz, E., Valencia-Domínguez, M., Ramos-Reyes, R., & Tofilski, A. (2025). Reexamination of honey bee Africanization in Mexico and other regions of the New World. Scientific Reports. https://doi.org/10.1038/s41598-025-00989-1
Rinderer, T. E., Stelzer, J. A., Oldroyd, B. P., Buco, S. M., & Rubink, W. L. (1991). Hybridization between European and Africanized honey bees in the neotropical Yucatan Peninsula. Science, 253(5017), 309–311. https://doi.org/10.1126/science.253.5017.309
Rodrigues, P. J., Gomes, W., & Pinto, M. A. (2022). DeepWings©: Automatic wing geometric morphometrics classification of honey bee (Apis mellifera) subspecies using deep learning for detecting landmarks. Big Data and Cognitive Computing, 6(3), 70. https://doi.org/10.3390/bdcc6030070
Rohlf, F. J., & Marcus, L. F. (1993). A revolution in morphometrics. Trends in Ecology & Evolution, 8(4), 129–132. https://doi.org/10.1016/0169-5347(93)90024-J
Rortais, A., Arnold, G., Alburaki, M., Legout, H., & Garnery, L. (2011). Review of the DraI COI-COII test for the conservation of the black honeybee (Apis mellifera mellifera). Conservation Genetics Resources, 3, 383–391. https://doi.org/10.1007/s12686-010-9351-x
Ruttner, F. (1988). Biogeography and taxonomy of honeybees. Springer. https://doi.org/10.1007/978-3-642-72649-1
Silva, F. L., Sella, M. L. G., Francoy, T. M., & Costa, A. H. R. (2015). Evaluating classification and feature selection techniques for honeybee subspecies identification using wing images. Computers and Electronics in Agriculture, 114, 68–77. https://doi.org/10.1016/j.compag.2015.03.012
Taurisano, V., et al. (2026). A temporal distribution map of Apis mellifera mitochondrial lineages obtained from honey environmental DNA. Scientific Reports. https://doi.org/10.1038/s41598-026-43936-4
Taurisano, V., Ribani, A., Sami, D., Nelson Johnson, K. E., Schiavo, G., Utzeri, V. J., Bovo, S., & Fontanesi, L. (2024). Distribution of honey bee mitochondrial DNA haplotypes in an Italian region where a legislative act is protecting the Apis mellifera ligustica subspecies. Scientific Reports, 14, 20583. https://doi.org/10.1038/s41598-024-71233-5
Taurisano, V., Ribani, A., Utzeri, V. J., Sami, D., Johnson, K. E. N., Formato, G., Milito, M., Schiavo, G., Bovo, S., Bertolini, F., et al. (2025). Comparing morphometric and mitochondrial DNA data from honeybees and honey samples for identifying Apis mellifera ligustica subspecies at the colony level. Animals, 15(12), 1743. https://doi.org/10.3390/ani15121743
Whitfield, C. W., Behura, S. K., Berlocher, S. H., Clark, A. G., Johnston, J. S., Sheppard, W. S., Smith, D. R., Suarez, A. V., Weaver, D., & Tsutsui, N. D. (2006). Thrice out of Africa: Ancient and recent expansions of the honey bee, Apis mellifera. Science, 314(5799), 642–645. https://doi.org/10.1126/science.1132772
Yadró García, C. A., Henriques, D., Cilia, G., Rufino, J., Vella, C., Aglagane, A., Sagastume, S., Zammit-Mangion, M., Martín-Hernández, R., Nanetti, A., & Pinto, M. A. (2025). Contrasting whole-genome diversity patterns and adaptation in honeybees from two southern European glacial refugia. iScience. https://doi.org/10.1016/j.isci.2025.114497
Y?ld?z, B. ?., et al. (2025). Explainable artificial intelligence for differentiating honey bee genotypes using morphometrics and SSR markers. Apidologie. https://doi.org/10.1007/s13592-024-01139-8
Zárate, D., Lima, T. G., Poole, J. D., Calfee, E., Burton, R. S., & others. (2022). Admixture in Africanized honey bees (Apis mellifera) from Panama to San Diego, California, USA. Ecology and Evolution, 12, e8580. https://doi.org/10.1002/ece3.8580
Zhang, M., et al. (2026). An XGBoost-based morphometric classification system for automatic subspecies identification of Apis mellifera. Insects, 17(1), 27. https://doi.org/10.3390/insects17010027
Descargas
Publicado
Cómo citar
Número
Sección
Licencia
Derechos de autor 2026 Juan Carlos Naranjo Herrera , María José Andrade Albán , María de los Angeles Rodríguez Cevallos , Igor Eduardo Astudillo Skliarova
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
Authors retain copyright and guarantee the Journal the right to be the first publication of the work. These are covered by a Creative Commons (CC BY-NC-ND 4.0) license that allows others to share the work with an acknowledgment of the work authorship and the initial publication in this journal.
