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Using Art to Study Science: Assessment of Creative Assignments in Student Success
Get PDFA continuing project based on research in the summer of 2019, this SCARP project focused on two areas. The first was on updating the website created in the summer of 2019, including adding artwork, updating information, and including more resources for students. Due to college safety policies related to COVID-19, on-campus cataloging, digitizing, and uploading of new artwork was not feasible. However, that did not hinder editing the website in other ways. The website now includes more information on body systems, additional resources for college students, and other professional aesthetic updates.
The second focus of the SCARP project was on the assessment of student learning and enjoyment based on the creative extra credit assignment offered in Human Anatomy and Physiology I and II (A&P). With IRB approval, researchers sent out a survey to the past six years (2014-2020) of A&P students. The survey was divided into two sections: the latter focusing on the extra credit project itself. The survey is comprised of multiple choice, leichert scale, and short answer questions, addressing different facets of the extra credit project and student experience. After gathering and consolidating the responses, researchers began analyzing data both in quantitative and qualitative formats. The results proved favorable to researchers’ hypothesis, showing that an interdisciplinary extra credit assignment improves student comprehension, boosts enjoyment, and enables mastery of A&P information and concepts
The State of Pennsylvania.
No full textGovernor Wolf addressed the State of Pennsylvania on April 24, 2020, speaking about COVID-19 and the affects on mental health. The sound was recorded from Facebook. The images are layered: the grass field behind the house, A Zoom Self-Portrait, and video from my work Water Works - Columbia project. Other sounds are me washing my hands for 20 seconds, cutting the grass and the dishwasher running, all recorded on a hand held Zoom audio recorder
Personal Essay.
Get PDFPersonal essay exploring my thoughts about working from home, as well as the social interaction experienced at work. Created March 2020, Pennsylvania
Dispatches From Student Quarantine, episode 303
No full textSeries of 21 episodes created by COM220. Includes contributions by students Tea Ceresini, Kaitlyn Chambers, Jessica Freels, Sarah Hasenauer, Emily Kuhn, Rachel Little, Olivia Moyer, Patrick Osborn, Rebecca Parsons, Chad Rosenberger, Cameron Scandle, Samantha Seely, William Snyder, Christopher Tongel, and Kevin Wenger
Machine Learning Based Malware Detection on Encrypted Traffic: A Comprehensive Performance Study
No full textThe increasing volume of encrypted network traffic yields a clutter for hackers to use encryption to spread their malicious software on the network. We study the problem of detecting TLS-encrypted malware on the client side using metadata and TLS protocol related flow features. We conduct a comprehensive study on a set of widely used machine learning and deep learning algorithms to detect encrypted malware on two malware flows datasets. In addition to reporting the classification accuracy of the approaches under study, we conduct comprehensive experiments to quantify their run-time performance in terms of throughput and system resource utilization such as the CPU and RAM utilization. Moreover, we further boost the speed of the detection systems using acceleration libraries such as DAAL and OpenVINO. Through the quantitative analysis, we provide a comparison on the effectiveness and run-time performance of the machine learning models, and evaluate techniques to accelerate real-world deployment