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Effects of Biotic Stress and Salicylic Acid on Growth and Cyanogenic Response in Garlic Mustard (Alliaria petiolata)
No full textNo Statistically Significant Differences in Microbial Diversity Relative to Water Proximity
No full textThe Effect of Different Concentrations of Aspirin on the Survivorship of Lumbriculus variegatus
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Changing Narratives of Self-Improvement: Self-Help Literature Across Two Eras
No full textThis project explores how the narratives of personal growth in self-help literature have evolved between the 1970s and the 2010s. The goal was to identify which themes persisted across eras and how others shifted in response to broader cultural and technological changes. I hypothesized that 1970s texts would emphasize self-control and traditional success, while 2010s texts would highlight flexibility, mental well-being, and authenticity, with some shared focus on motivation and habit-building. To test this, I selected five bestselling books from each decade and applied Latent Dirichlet Allocation (LDA) topic modeling using a Colab-based notebook. The top 30 most salient terms generated for each corpus were then analyzed to derive dominant themes. The results confirmed my hypothesis: the 1970s literature was shaped by themes of moral authority, discipline, and religious framing, while the 2010s emphasized emotional resilience, personal agency, and authentic self-expression. Despite these differences, both eras maintained a strong emphasis on growth and action, reinforcing the genre’s consistent aim of empowering individuals to pursue a “better self”, even as the definition of self-improvement continues to evolve
Translating Economics for STEM Minds: An AI Socratic Tutor That Speaks Their Language
Get PDFSTEM students frequently struggle with economic thinking due to the particular framework of solving problems they acquire from their respective academic disciplines in undergraduate programs. This AI Socratic tutoring system is designed to detect and address discipline-specific misconceptions and gaps frequently holding students back in economics. Using Google’s Gemini Flash model, this tutor can give students hints and feedback and even reroute students thinking when they are confused. It does so by providing manageable explanations tailored to the individual student’s background across STEM fields like mathematics, physics, engineering, and other STEM fields. This system utilizes a customized Q&A bank pre-loaded with questions and common misconceptions, and gaps for students to practice their economic thinking with guidance from the Socratic tutor as it “speaks” their language. This tutor is also academically safe, as it pushes students to realize the answer themselves instead of providing the answer straight away, like many popular LLMs today
Understanding Human-AI Interactions: What 17,000 Conversations Reveal About Creativity and ChatGPT
Get PDFThis study uses topic modeling to analyze over 17,000 English-language conversations from the WILDCHAT-FULL dataset, a large-scale collection of human-ChatGPT interactions. By applying Latent Dirichlet Allocation (LDA) across 17 time-based segments spanning one year, the research identifies major themes and temporal shifts in user engagement. Creative writing emerged as the dominant topic category, accounting for nearly 40% of all identified topics. Subcategories such as character development, fight scenes, and sexual content offer further insight into how users creatively engage with ChatGPT. By combining large-scale topic modeling with close qualitative review, this study demonstrates a scalable yet nuanced approach to analyzing the evolving landscape of human-AI communication
Philippines 01: The Summer Capital of the Philippines
No full textDirected by Sam Pack, edited by Eunseong Seo (’28)
Follis of Leo IV and Constantine VI
No full texthttps://digital.kenyon.edu/arthistorystudycollection/2714/thumbnail.jp