Monitoring Educational Intervention Programs for Children and Young People with Disabilities through a Web Application

  1. Sáiz-Manzanares, María Consuelo 1
  2. Marticorena-Sánchez, Raúl 1
  3. Escolar-Llamazares, M. Camino 1
  4. Velasco-Saiz, Rut 1
  1. 1 Universidad de Burgos
    info

    Universidad de Burgos

    Burgos, España

    ROR https://ror.org/049da5t36

Revista:
Education Sciences

ISSN: 2227-7102

Año de publicación: 2024

Volumen: 14

Número: 3

Páginas: 1-18

Tipo: Artículo

DOI: 10.3390/EDUCSCI14030306 GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Education Sciences

Resumen

Early care professionals have to use instruments for assessing functional skills in children susceptible to early intervention that apply records and produce developmental profiles and personalized intervention proposals. The aims of the study were (1) to analyze the development of functional skills in users with an age range of 48–252 months attending school in a therapeutic intervention center for people with motor impairments; and (2) to analyze the development of functional skills in users with different impairments and ages ranging from 7 to 162 months participating in an early outpatient care program. Study 1 applied a sample of 50 users aged between 48 and 252 months all with motor disabilities and Study 2 included a sample of 71 users aged between 7 and 162 months with different disabilities. Factorial and descriptive–correlational designs were applied in both studies. The Student’s t-test for dependent samples, supervised machine learning techniques (linear regression analysis and logarithmic regression analysis), unsupervised machine learning techniques (k-means), ANOVA, and cross-tabulations were used as contrast tests. In Study 1, no significant changes were found in the development of users’ functional skills, except for a decrease in maladaptive behaviors. Likewise, the chronological age variable did not seem to be a determining factor in the results. In Study 2, significant differences were found in the development of all functional skills between the three measurement time points (initial–intermediate–final). In this group, the type of impairment explained 29% and chronological age 40% of the variance in functional development at the final measurement. This study found that intervention before four years old in outpatient mode produced better results in the acquisition of functional skills, with better results in users affected by rare diseases or communication and language delay at ages 49–60 months.

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Referencias bibliográficas

  • World Health Organisation (WHO) (2017). Rehabilitation in Health Systems, WHO. Available online: https://apps.who.int/iris/handle/10665/254506.
  • World Health Organisation (WHO) (2020). Improving Early Childhood Development: WHO Guideline, WHO. Available online: https://www.who.int/publications/i/item/97892400020986.
  • European Union (2024, January 30). Official Journal of the European Union. Recommendations for High Quality Early Childhood Education Systems. NO. C 189/4. Available online: https://eur-lex.europa.eu/legal-content/ES/TXT/?uri=CELEX%3A32019H0605%2801%29.
  • Josse, D. (1997). Escala de Desarrollo Psicomotor de la Primera Infancia Brunet-Lézine Revisado [Scale of Psychomotor Development of Early Childhood Brunet Lézine-Revised], Psymtéc.
  • Newborg, J. (2005). Battelle Developmental Inventory Examiner’s Manual, Riverside. [2nd ed.].
  • Haley, S.M., Coster, W.J., Ludlow, L.H., Haltiwanger, J.T., and Andrellos, P.J. (2012). The Pediatric Evaluation of Disability Inventory (PEDI), Pearson Clinical Assessment. [2nd ed.].
  • Bluma, M.S., Shearer, M.S., Frohman, A.H., and Hilliard, J.M. (1978). Portage Guide to Early Education.
  • Sáiz-Manzanares, M.C., Marticorena, R., and Arnaiz, Á. (2020). Evaluation of Functional Abilities in 0-6 Year Olds: An Analysis with the eEarlyCare Computer Application. Int. J. Environ. Res. Public Health, 17.
  • Sáiz-Manzanares, M.C., Marticorena, R., Arnaiz, Á., Díez-Pastor, J.F., and García-Osorio, C.I. (2020). Measuring the functional abilities of children aged 3–6 years old with observational methods and computer tools. J. Vis. Exp., e60247.
  • Sáiz-Manzanares, M.C., Marticorena, R., and Arnaiz-Gonzalez, Á. (2022). Improvements for therapeutic intervention from the use of web applications and machine learning techniques in different affectations in children aged 0–6 years. Int. J. Environ. Res. Public Health, 19.
  • Poon, (2023), Int. J. Behav. Nutr. Phys. Act., 20, pp. 13, 10.1186/s12966-023-01421-5
  • Ridosh, (2023), Child Care Health Dev., 49, pp. 508, 10.1111/cch.13065
  • Sawin, (2018), J. Pediatr. Rehabil. Med., 11, pp. 311
  • Amer, (2023), Child Care Health Dev., 49, pp. 464, 10.1111/cch.13062
  • Sáiz-Manzanares, M.C., and Pérez-Bravé, Y. (2024, January 12). Escala de Medición Habilidades Funcionales [Functional Skills Measurement Scale]. Number of Intellectual Property 00/2019/4253. Available online: https://bit.ly/3muc6To.
  • IBM Corp (2023). SPSS Statistical Package for the Social Sciences (SPSS), IBM Corp. [28th ed.].
  • Curk, (2013), J. Mach. Learn. Res., 14, pp. 2349
  • Bandalos, D.L., and Finney, S.J. (2001). New Developments and Techniques in Structural Equation Modeling, Lawrence Erlbaum Associates Publishers.