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Full-Text Articles in Education
A Transdiagnostic Examination Of Cognitive Heterogeneity In Children And Adolescents With Neurodevelopmental Disorders, Sarah Al-Saoud, Emily S. Nichols, Emma G. Duerden, Loretta Norton
A Transdiagnostic Examination Of Cognitive Heterogeneity In Children And Adolescents With Neurodevelopmental Disorders, Sarah Al-Saoud, Emily S. Nichols, Emma G. Duerden, Loretta Norton
Western Libraries Undergraduate Research Awards (WLURAs)
Children and adolescents with neurodevelopmental disorders (NDDs) demonstrate extensive cognitive heterogeneity that is not adequately captured by traditional diagnostic systems. Using a transdiagnostic approach, a retrospective cohort study of cognitive functioning was conducted with a large heterogenous sample (n = 1529) of children and adolescents 7 to 18 years of age with NDDs. Measures of short-term memory, verbal ability, and reasoning were administered to participants with attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), comorbid ADHD/ASD, and typically developing (TD) participants using a 12-item web-based neurocognitive testing battery. Unsupervised machine learning techniques were implemented to create a self-organizing map (SOM), …
Explicit Rule Learning: A Cognitive Tutorial Method To Train Users Of Artificial Intelligence/Machine Learning Systems, Anne Linja
Dissertations, Master's Theses and Master's Reports
Today’s intelligent software systems, such as Artificial Intelligence/Machine Learning systems, are sophisticated, complicated, sometimes complex systems. In order to effectively interact with these systems, novice users need to have a certain level of understanding. An awareness of a system’s underlying principles, rationale, logic, and goals can enhance the synergistic human-machine interaction. It also benefits the user to know when they can trust the systems’ output, and to discern boundary conditions that might change the output. The purpose of this research is to empirically test the viability of a Cognitive Tutorial approach, called Explicit Rule Learning. Several approaches have been used …