首页|University of Burgos Researcher Discusses Research in Machine Learning (Monitori ng Educational Intervention Programs for Children and Young People with Disabili ties through a Web Application)
University of Burgos Researcher Discusses Research in Machine Learning (Monitori ng Educational Intervention Programs for Children and Young People with Disabili ties through a Web Application)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on artificial intelligence is now available. According to news reporting from Burgos, Spain, by NewsRx jou rnalists, research stated, "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 p roposals." Funders for this research include European Commission. Our news correspondents obtained a quote from the research from University of Bu rgos: "The aims of the study were (1) to analyze the development of functional s kills in users with an age range of 48-252 months attending school in a therapeu tic intervention center for people with motor impairments; and (2) to analyze th e 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 mot or disabilities and Study 2 included a sample of 71 users aged between 7 and 162 months with different disabilities. Factorial and descriptive-correlational des igns were applied in both studies. The Student's t-test for dependent samples, s upervised machine learning techniques (linear regression analysis and logarithmi c regression analysis), unsupervised machine learning techniques (k-means), ANOV A, 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."
University of BurgosBurgosSpainEur opeCyborgsEmerging TechnologiesMachine Learning
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