Abstract :
People with autism spectrum disorder (ASD) are characterised by severe limitations in nodal connectivity of information, which can involve some or several levels of the neuropsychological information processing system to various degrees. For this reason, in besides treating behaviours formally expressed by international classifications, it´s necessary to apply programmes to facilitate functional connectivity and fluidity over knowledge processing, in this sense, the cooperative project-based method can help neural networks interact and support the perception and subsequent processing of information.
A total of 10 participants took part in this study, divided into two groups of 5 students each. One of the groups included a student with level 1 ASD (n: 5). All students belong to the same class and are studying all subjects corresponding to first grade of secondary education. Results confirmed the hypothesis that project-based work in small cooperative groups is effective, with all students showing improvement compared to the other two didactic methods implemented: practical and expository. Moreover, it was also observed that the group in which the student with ASD participates has not impaired the knowledge process, but, on the contrary, provides benefits that exceed the second group of exclusively neurotypical students (n: 5) in the statistics applied.
Keywords :
autism spectrum disorder, Cooperative Learning, genetics and nodal relationships, perceptual-cognitive processing, project work.References :
- American Psychiatric Association (2013). Diagnostic and statistical manual of mental disorders (5th ed.). https://doi.org/10.1176/appi.books.9780890425596
- Baghdadli, A., Michelon, C., Pernon, E., Picot, M. C., Miot, S., Sonié, S., Rattaz, C., & Mottron, L. (2018). Adaptive trajectories and early risk factors in the autism spectrum: A 15-year prospective study. Autism Research, 11(11), 1455–1467. https://pubmed.ncbi.nlm.nih.gov/30270526/
- Banihashem, S. K., Noroozi, O., van Ginkel, S., Macfadyen, L. P., & Biemans, H. J. A. (2022). A systematic review of the role of learning analytics in enhancing feedback practices in higher education. Educational Research Review, 37, 100489. https://doi.org/10.1016/j.edurev.2022.100489
- Busby, R., Ingram, R., Bowron, R., Oliver, J., & Lyons, B. (2012). Teaching elementary children with autism: addressing teacher challenges and preparation needs. The Rural Educator, 33(2), 27-35. chrome-
extension://efaidnbmnnnibpcajpcglclefindmkaj/file:///C:/Users/Manuel/Desktop/Teaching_Elementary_Children_with_Autism.pdf
- Carter, E., & Hughes, C. (2006). Including high school students with severe disabilities in general education classes: perspectives of general and special educators, paraprofessionals, and administrators. Research and Practice for Persons with Severe Disabilities, 31, 174-185. https://journals.sagepub.com/doi/10.1177/154079690603100209
- Council for Exceptional Children, Reston, Va (1988). Clearinghouse on Handicapped and Gifted Children, Reston, VA. ERIC /OSEP Special Project. Peer Tutoring and Small Group Instruction. Research & Resources on Special Education, Abstract, 18. chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://files.eric.ed.gov/fulltext/ED377639.pdf
- Downing, J., & Peckham-Hardin, K. (2007). Inclusive education: what makes it a good education for students with moderate to severe disabilities? Research and Practice for Persons with Severe Disabilities, 32, 16-30. chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://hmk.am/wp-content/uploads/2021/05/Inclusive-Education-for-Students-with-Intellectual-Disabilities-PDFDrive-.pdf
- Feng, S., Gibson, D., & Gašević, D. (2025). Analyzing students’ emerging roles based on quantity and heterogeneity of individual contributions in small group online collaborative learning using bipartite network analysis. Journal of Learning Analytics, 12(1), 253-270. https://doi.org/10.18608/jla.2025.8431
- Foreman, P., Arthur-Kelly, M., Pascoe, S., & King, B. (2004). Evaluating the educational experiences of students with profound and multiple disabilities in inclusive and segregated classroom settings: An Australian perspective. Researchand Practice for Persons with Severe Disabilities, 29, 183-193. https://journals.sagepub.com/doi/10.2511/rpsd.29.3.183
- Franchini, M., Zöller, D., Gentaz, E., Glaser, B., de Wilde, W., Kojovic, H., & Schaer, N. M. (2018). Early adaptive functioning trajectories in preschoolers with autism spectrum disorders. Journal of Pediatric Psychology, 43(7), 800-813. https://pubmed.ncbi.nlm.nih.gov/29701857/
- Fransen, J., Weinberger, A., & Kirschner, P. A. (2013). Team effectiveness and team development in CSCL. Educational Psychologist, 48(1), 9-24. https://doi.org/10.1080/00461520.2012.747947
- Freyn, S. L., Sedaghatjou, M., & Rodney, S. (2021). Collaborative engagement experience-based learning: a teaching framework for business education. Higher Education, Skills and Work-Based Learning, 11(5), 1252-1266. https://doi.org/10.1108/HESWBL-08-2020-0182
- Gašević, D., Joksimović, S., Eagan, B. R., & Shaffer, D. W. (2019). SENS: network analytics to combine social and cognitive perspectives of collaborative learning. Computers in Human Behavior, 92, 562-577.
https://doi.org/10.1016/j.chb.2018.07.003
- Green, S. A., Hernandez, L., Bookheimer, S. Y., & Dapretto, M. (2016). Salience network connectivity in autism is related to brain and behavioral markers of sensory overresponsivity. Journal of the American Academy of Child and Adolescent Psychiatry, 55(7), 618-626. e611. https://doi.org/10.1016/j.jaac.2016.04.013
- Hadwin, A., & Oshige, M. (2011). Self-regulation, coregulation, and socially shared regulation: exploring perspectives of social in self-regulated learning theory. Teachers College Record, 113(2), 240-264.
https://doi.org/10.1177/016146811111300204
- Janssen, J., Erkens, G., Kanselaar, G., & Jaspers, J. (2007). Visualization of participation: does it contribute to successful computer-supported collaborative learning? Computers & Education, 49(4), 1037-1065.
https://doi.org/10.1016/j.compedu.2006.01.004
- Järvelä, S., & Hadwin, A. F. (2013). New frontiers: regulating learning in CSCL. Educational Psychologist, 48(1), 25-
- https://doi.org/10.1080/00461520.2012.748006
- Kim, J., & Park, K. (2018). Relations between intrapreneurship and emotional intelligence, supportive leadership and adaptation performance in organization. Journal of Digital Convergence, 16(11), 289-301.
https://doi.org/10.14400/JDC.2018.16.11.289
- Kulichyova, A., Jooss, S., & Garavan, T. (2024). Creativity development and Mode 2 theory development: event system and experiential learning perspectives. Human Resource Management Journal, 34(2), 455-479.
https://doi.org/10.1111/1748-8583.12480
- Loiacano, V., & Valenti, V. (2010). General education teachers need to be prepared to CO-TEACH the creasing number of children with autism in inclusive setting. International Journal of Special Education, 25(3), 24-32. chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://files.eric.ed.gov/fulltext/EJ909033.pdf
- Magen-Nagar, N., & Shonfeld, M. (2018). Attitudes, openness to multiculturalism, and integration of online collaborative learning. Journal of Educational Technology & Society, 21(3), 1-11. https://www.jstor.org/stable/26458502
- Mahoney, M. W. (2023). Peer-mediated instruction and Intervention to support the academic achievement of secondary students with Autism Spectrum Disorder: a systematic review of the literature. The Journal of Special Education Apprenticeship, 12(1). https://doi.org/10.58729/2167-3454.1159
- Mazurek, G., Gorska, A., Korzynski, P., & Silva, S. (2022). Social networking sites and researcher’s success. Journal of Computer Information Systems, 62(2), 259-266. https://doi.org/10.1080/08874417.2020.1783724
- Monje-Amor, A., Vázquez, J. P. A., & Faíña, J. A. (2020). Transformational leadership and work engagement: exploring the mediating role of structural empowerment. European Management Journal, 38(1), 169-178.
https://doi.org/10.1016/j.emj.2019.06.007
- Morrier, M. J., Hess, K. L., & Heflin. L. J. (2011). Teacher training for implementation of teaching strategies for students with Autism Spectrum Disorders. Teacher Education and Special Education, 34(2) 119 –132. http://tese.sagepub.com
- National Autism Center. (2015). Evidence-based practice and autism in the schools (2nd Ed.). National Autism Center. Randolph, Massachusetts 02368. chrome-
extension://efaidnbmnnnibpcajpcglclefindmkaj/https://worksupport.com/documents/NAC_20Ed_20Manual2.pdf
- Newman, M. (2018). Networks (2nd ed.). Oxford University Press. https://academic.oup.com/book/27884
- Odom, S. L., & Strain, P. S. (1984). Classroom-based social skills instruction for severely handicapped preschool children. Topics in Early Childhood Special Education, 4(3), 97-116. https://doi.org/10.1177/027112148400400307
- Odom, S. L., & Strain, P. S. (1986). A comparison of peer‐initiation and teacher‐antecedent interventions for promoting reciprocal social interaction of autistic preschoolers. Journal of Applied Behavior Analysis, 19(1), 59-71.
https://doi.org/10.1901/jaba.1986.19-59
- Ojea, M. (2023). Perceptual-Behavioural Precision Scale (PBP-ASD). Lima: Ed. Barcelona.
https://libreriaites.com/producto/escala-de-precision-perceptivo-conductual-ep-pc-tea/
- Ojea, M. (2025). Differential Analysis of Four Teaching-Learning Models Applying to Students with Autism Spectrum Disorder. International Journal of Humanities and Social Science Invention (IJHSSI), 14(5), 164-171. ISSN (Online): 2319–7722, ISSN (Print): 2319–7714. https://www.ijhssi.org/papers/vol14(5)/1405164171.pdf
- Patriquin, M. A., DeRamus, T., Libero, L. E., Laird, A., & Kana, R. K. (2016). Neuroanatomical and neurofunctional markers of social cognition in autism spectrum disorder. Human Brain Mapping, 37(11), 3957–3978.
https://doi.org/10.1002/hbm.23288
- Ravet, J. (2017). “But how do I teach them?’: Autism & Initial Teacher Education (ITE).International Journal of Inclusive Education, 22(7), 714-733. https://doi.org/10.1080/13603116.2017.1412505
- Salisbury, C. (2006). Principals’ perspectives on inclusive elementary schools. Research and Practice for Persons with Severe Disabilities, 31, 70-82. https://journals.sagepub.com/doi/10.2511/rpsd.31.1.70
- Schneider, B., Dowell, N., & Thompson, K. (2021). Collaboration analytics: current state and potential futures. Journal of Learning Analytics, 8(1), 1–12. https://doi.org/10.18608/jla.2021.7447
- Sparrow, S. S., Cicchetti, D. V., & Saulnier, C. A. (2016). Vineland Adaptive Behavior Scales (Vineland-3) (3rd ed.). San Antonio, TX: Pearson. https://link.springer.com/referenceworkentry/10.1007/978-3-319-57111-9_1602
- van Aalst, J. (2013). Assessment in collaborative learning. In C. E. Hmelo-Silver, C. A. Chinn, C. K. K. Chan, & A. O’Donnell (Eds.), The international handbook of collaborative learning, 16 (pp. 280–296). Routledge. chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://ris.utwente.nl/ws/files/215544115/van_Aalst_2013.pdf
- Weinberger, A., & Fischer, F. (2006). A framework to analyze argumentative knowledge construction in computer-supported collaborative learning. Computers & Education, 46(1), 71–95. https://doi.org/10.1016/j.compedu.2005.04.003

