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  1. Home
  2. Research at Penn State Schuylkill
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Faculty Research Series

Penn State Schuylkill's Faculty Research Series provides an opportunity for faculty to discuss their current research projects. Seminars will be held monthly and meet in person unless otherwise noted. Contact Rebecca Bolton, series coordinator and lecturer of mathematics and physics, with any questions.

Spring 2023


Burkean Identification and the “Ton:” A Rhetorical Analysis of the Netflix Series Bridgerton
Wednesday, January 18  //  12:20 to 1:10 p.m.  //  C-101
Presented by Janelle Gruber, lecturer of corporate communication, and Dr. Valerie Schrader, professor of communication arts and sciences

Bridgerton, a popular Netflix series produced by Shonda Rhimes and Chris Van Dusen, has garnered attention, much of which has been positive, for its diverse, color-conscious casting. Differing from the books on which it has been based, the Netflix series includes main characters of various ethnicities, though it maintains its original storylines that often concern issues of class in the Regency era. In this rhetorical analysis of the first two seasons of Bridgerton, we argue that Bridgerton’s success is connected to its ability to create consubstantiality between its characters and viewers. We apply Kenneth Burke’s concept of identification to several characters and storylines throughout the first two seasons, noting how common ground and dissociation in particular serve to create consubstantiality. Finally, we suggest that Bridgerton’s color-conscious casting aids in this creation of identification, even while the series fails to align with documented history of the Regency era and continues to incorporate issues of classism and homophobia into its storylines.


Dr. Jessica Saalfield
Tuesday, February 21  //  12:20 to 1:10 p.m.


Crime Prediction Using Big Data
Tuesday, March 21  //  12:20 to 1:10 p.m.
Presented by Dr. Juyoung Song, assistant professor of criminal justice

The crime phenomenon of modern society is more complex and diverse than in the past. There are many ways to predict and analyze crime phenomena. The current era of the fourth industrial revolution is experiencing innovative changes as cutting-edge information and communications technology are incorporated into all areas of the economy and society; for example, artificial intelligence (AI), the Internet of Things, big data, and mobile technology. Criminologists (crime-data scientists) play a very important role in this process. They create or assemble high-quality data that can be used to train machine-learning systems, find machine-learning algorithms that are suitable for the data, and perform modeling. The discussions of politics, economy, and culture posted on social media outlets represent the opinions of the era. The method of collecting and analyzing the unstructured data from online channels, including the Social Network Service, can interpret the actual phenomenon in our society. The current study uses structured and social big data to predict crime and preemptively respond to it. The result of this study provides a detailed description of the entire research process, which consisted of gathering big data, analyzing it, and making observations to develop a crime-prediction model that uses actual big data. The study also contains an in-depth discussion of several processes: text mining, which extracts useful information from online documents; opinion mining, which analyzes the emotions contained in documents; machine learning for crime prediction; and visualization analysis. Machine learning will be applied to finally suggest a prediction model. The results of the analysis and policy implication will be discussed.


Undergraduate Research and Creative Accomplishments Symposium
Friday, April 21  //  12:20 to 1:10 p.m.


Fall 2022

Multi-Sensory Pedagogy in a College Setting: What Is It, Why Bother, and How to Use It in Your Classes

Presented by Dr. Yelena Meadows, assistant teaching professor of mathematics

Thursday, October 20
12:20 to 1:10 p.m.
R. Michael Fryer Conference Center (101 Classroom Building)

The second presentation in the fall 2022 Faculty Research Series is ideal for educators interested in creating an environment for their students where learners are deeply engaged in their work, respectful of themselves and their surroundings, are self-motivated, and rigorously pursuing growth in all aspects (cognitive, emotional, social, and physical). In this presentation, Dr. Meadows will discuss multi-sensory pedagogical approaches developed by Orton-Gillingham and Maria Montessori and also present research on dyslexia, as well as its effects on individual learners and society. One in five school-aged children is personally affected by dyslexia, and as much as half of the nation's prison population is affected, as well. Research on college-aged learners is in its infancy, but preliminary findings point to benefit of this approach to all learners. Dr. Meadows will discuss this early research, including how these highly unconventional learners are creative and intelligent, yet disadvantaged by the current structure of traditional understanding of learning; they do not “outgrow” their neurobiological condition.

Dr. Gina Whalen
Wednesday, November 16  //  12:20 to 1:10 p.m.

 

Research at Penn State Schuylkill

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Penn State Schuylkill

Penn State Schuylkill provides the academic opportunities of a world-class university in a setting as intimate and comfortable as that of a small college.
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