Artificial Intelligence and Assistance Technologies Research Group

  • Ecuador

Organization profile

Organization profile

GIIATA has designed a new model for the development of prototypes to support special education, based on the theory of significant learning from the American psychological and pedagogical and starting from a multidisciplinary cognitive environment.
This model has been used for 3 years and puts forward the following ideas:
Interaction: the students involved in the different research projects interact with the technological model that will allow the development of prototypes to support special education, proposing ideas and generating questions about their implementation, use and future tests.
Have previous knowledge: students and university professors interact with special education professionals in order to generate new ideas and paradigms. To be willing to work if the technology is used properly, children will feel motivated to learn, being this a fundamental factor to have an adequate teaching process.
It is also important to note that the GIIATA is characterized by a multidisciplinary team that includes professionals in the areas of electronics and computer science and has the support of psychologists, speech therapists, doctors and other special education professionals.
Another important strength of GIIATA is that it has a modern laboratory where students and professionals can adequately develop their activities since they can always count on the accompaniment of the members of the group. The group has also established important research links with other university institutions, development centres and special education institutions.

Fingerprint Dive into the research topics where Artificial Intelligence and Assistance Technologies Research Group is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.

Ontology Engineering & Materials Science
Communication Engineering & Materials Science
Ecosystems Engineering & Materials Science
Education Engineering & Materials Science
Health Engineering & Materials Science
Robotics Engineering & Materials Science
Students Engineering & Materials Science
Recommender systems Engineering & Materials Science

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Projects 2015 2018

Research Output 2010 2019

  • 90 Citations
  • 4 h-Index
  • 48 Paper
  • 26 Conference contribution
  • 9 Article
  • 2 Chapter

A comparative analysis of similarity metrics on sparse data for clustering in recommender systems

Bojorque, R., Hurtado, R. & Inga, A., 1 Jan 2019, A comparative analysis of similarity metrics on sparse data for clustering in recommender systems. p. 291-299 9 p. (Advances in Intelligent Systems and Computing; vol. 787).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearch

Recommender systems

An academic system based on ontological networks to support the inference of new knowledge in micro and macro curriculum in higher education

García-Vélez, R., Galan-Mena, J., Robles-Bykbaev, V., López-Nores, M., Pesántes-Avilés, F. & Calle-López, D., 1 Jan 2019, An academic system based on ontological networks to support the inference of new knowledge in micro and macro curriculum in higher education. p. 316-328 13 p. (Advances in Intelligent Systems and Computing; vol. 785).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearch

Curricula
Ontology
Macros
Education
Students

Anthropometric evaluation and operation room design analysis for laparoscopic surgeries in cuenca, ecuador

Ordóñez-Ríos, M., Salamea, J. C. & Robles-Bykbaev, V., 1 Jan 2019, Anthropometric evaluation and operation room design analysis for laparoscopic surgeries in cuenca, ecuador. p. 190-200 11 p. (Advances in Intelligent Systems and Computing; vol. 777).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearch

Surgery
Anthropometry
Biomedical equipment
Medical problems
Towers