Comparison of Implicit Thought and Learning in Individuals with Schizophrenia

This investigation studied implicit learning differences in individuals with schizophrenia. Three implicit learning strategies were examined: priming, procedural, and incidental learning. Twenty-six participants with schizophrenia were recruited from various outpatient clinics and programs in Orange, CA to participate in this study. Participants were administered a psychological battery composed of tests to measure individual differences in implicit learning abilities within the group. Differences in crystallized and fluid knowledge abilities within the different implicit learning conditions were tested. Demographic information was also collected and where possible included for the purpose of accounting for demographic variations amongst participants. Demographic variables included the participant’s age, gender, years of education, and ethnicity. Following data collection, raw scores were converted to T-scores (and normed when possible per demographic variations) and run through SPSS. The first analysis conducted was a path analysis to estimate the causal relationships amongst the variables. Following this initial analysis, six separate t tests were run through SPSS. Differences between individual learning conditions were identified, and three of the four hypotheses were found to be significant. The electronic version of this dissertation is accessible at the Ohiolink ETD center http://www.ohiolink.edu /et

Senior Recital: Sarah Seippel, clarinet

This recital is presented in partial fulfillment of requirements for the degree Bachelor of Music in Music Education. Ms. Seippel studies clarinet with John Warren.https://digitalcommons.kennesaw.edu/musicprograms/2141/thumbnail.jp

Where do they all come from? Youth, fitness gyms, sport clubs and social inequality

Author's accepted version (postprint).This is an Accepted Manuscript of an article published by Taylor & Francis in Sport in Society on 23/11/2020.Available online: http://dx.doi.org/10.1080/17430437.2020.1840554acceptedVersio

Exploring the Integration of AI in Counseling

In the evolving landscape of mental health care, the emergence of artificial intelligence (AI) has brought about significant shifts in the counseling landscape. This presentation explored the varied applications of AI in the counseling field, addressing its advantages, limitations, as well as legal, ethical, and multicultural concerns. Legal and ethical considerations highlighted the absence of regulations and standards for AI use and emphasized concerns for culturally sensitive applications that respect diverse backgrounds. The absence of regulations underscored the need for clear ethical and legal guidelines to safeguard client protection and confidentiality as well as to uphold professional excellence