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    7739 research outputs found

    Annual Report, Faculty Research and Development Committee, 2022-2023

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    Minutes, Global Initiatives Committee Meeting, Thursday, January 19, 2023

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    Minutes, Faculty Affairs Committee Meeting, Tuesday, September 19, 2023

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    Minutes, Faculty Affairs Committee Meeting, Tuesday, September 05, 2023

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    Rollins Magazine, Winter 2023

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    Artistic License

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    Artistic License is a celebration of those who have the true courage to be free. I have put historical artist in order of their death date. Dating the artist to their death may seem morb; however; it is meant to illustrate their lifespan, not just when they may have been famous/ influential. May these be of inspiration for our own pursuit of freedomhttps://scholarship.rollins.edu/book_arts/1164/thumbnail.jp

    Minutes, Executive Committee Meeting, Thursday, September 28, 2023

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    Linear Rays

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    https://scholarship.rollins.edu/studioart_all/1044/thumbnail.jp

    Evaluating AI Sentiment Analysis

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    This paper presents a comparative analysis of human and AI performance on a sentiment analysis task involving the coding of qualitative data from community program transcripts. The results demonstrate promising but imperfect agreement between two AI models, Claude and Bing, versus three human annotators and one expert annotator using the Community Capitals framework categories. While both models achieved fair alignment with human judgment, confusion patterns emerged involving metaphorical language and text overlapping multiple categories. The findings provide a case study for benchmarking conversational AI systems against human baselines to reveal limitations and target improvements. Key gaps center around distinguishing between social and human elements and handling cultural references. Expanded testing on more diverse datasets could further quantify differences in classification capabilities. Overall, the analysis exposes definable areas where machines still struggle compared to humans, highlighting productive research directions to eventually achieve a similar threshold to humans across diverse language inputs. As AI systems enter real-world applications, human-AI comparative studies can help define boundaries between robust statistics-based learning and adaptive human cognition

    Comparing Rates of Acquisition of Complex Tacts Utilizing 3D Objects, Picture Cards, and Video Stimuli

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    Despite vast research on Skinner’s (1957) Verbal Behavior, research on the effects of stimulus mediums remains limited (Cuvo & Klatt, 1992; Salmon et al. 1986; Welch & Pear; 1980; Gomez, 2015; Nelson, 2018) and results are mixed (Schebell et al., 2017, Mandel, 2020). Additionally, most studies utilize targets that are common, preferred, or age-appropriate (Bak et al., 2021). The current study aimed to evaluate the rates of acquisition when tact training using complex, uncommon tacts in participants with high Early Echoic Skills Assessment (EESA) levels. Three stimulus mediums were utilized: video, picture card, and 3D object. Participants’ acquisition rates varied across medium, with one participant showing similar acquisition rates across mediums and the other participant in 3D object and video

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