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Learning Disabilities01:25

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Learning disabilities are cognitive disorders caused by neurological impairments that affect cognitive functions like language and reading, without indicating overall intellectual or developmental challenges. These disabilities differ from global intellectual or developmental disabilities as they are limited to distinct cognitive functions. Common learning disabilities include dysgraphia, dyslexia, and dyscalculia, each of which impacts unique aspects of learning.
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Technological Ecosystems That Support People With Disabilities: Multiple Case Studies.

Maria Soledad Ramirez-Montoya1, Paloma Anton-Ares2, Javier Monzon-Gonzalez3

  • 1Department of Education, Tecnologico de Monterrey, Monterrey, Mexico.

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|March 15, 2021
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Summary
This summary is machine-generated.

Technological ecosystems enhance support for individuals with disabilities, improving their quality of life and promoting inclusive education. These systems foster training, family involvement, and better health outcomes for diverse learners.

Keywords:
case studieseducational innovationhigher educationresearchtechnological ecosystems

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Area of Science:

  • Assistive Technology
  • Special Education
  • Human-Computer Interaction

Background:

  • Technological advancements and evolving teaching practices have significantly improved support for individuals with disabilities.
  • There is a growing need to understand how technology integration impacts training, autonomy, and quality of life for this population.
  • Existing research highlights the potential of technology but requires empirical analysis of its practical application in diverse settings.

Purpose of the Study:

  • To empirically analyze the usefulness of technology-supported interventions for individuals with special educational needs.
  • To investigate how technological ecosystems contribute to the support and well-being of people with disabilities.
  • To evaluate the impact of these ecosystems on training, health, and user experience.

Main Methods:

  • A multiple case study methodology was employed to gather in-depth data.
  • Analysis focused on six key categories: project data, objectives, processes, outputs and outcomes, technologies, and impact.
  • Qualitative data on processes were characterized as transversal, ethical, and sustainable, emphasizing open communication.

Main Results:

  • The study identified diverse technological ecosystems effectively supporting individuals with disabilities.
  • These ecosystems demonstrated success in improving health outcomes and providing positive user experiences.
  • Technological interventions were found to enhance teacher training and methodologies, while actively involving families.

Conclusions:

  • Technological ecosystems offer substantial benefits for people with disabilities, enhancing their health, autonomy, and overall quality of life.
  • These systems are instrumental in advancing special educational needs (SEN) support through improved training and inclusive practices.
  • Effective integration of technology, coupled with family involvement, is crucial for maximizing positive outcomes for individuals with functional diversity.