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Identifying The O’Connell Effect in Eclipsing Binary Stars
Data science techniques have wide-ranging applications throughout scientific explorations. One, is filtering astronomical data to better understand specific populations, such as binary stars. Specifically, binary stars that exhibit the O’Connell effect are worthy of study as this phenomenon is still not well understood. The O’Connell effect can be defined as the asymmetry of maxima in the light curves, as captured by the instrument, while observing the eclipsing binary system in question. There is significant data captured by NASA and curated by Villanova University, which enabled the investigation of eclipsing binary stars and the attributes of which may help identify the O’Connell effect. Two sets of data from Villanova were used, the Kepler and Transiting Exoplanet Survey Satellite eclipsing binary star catalogs. From these, morphology, period, and separation were used as attributes of the system to help identify the O’Connell effect. Handpicked Kepler data was taken and used to train a machine learning model that was then applied to Transiting Exoplanet Survey Satellite data, in order to make determinations if the targets therein exhibited the O’Connell effect. The machine learning models\u27 determinations were compared against labels rendered by evaluating the light curve for asymmetries in the maxima
Racial Identity Development and Imposter Phenomenon as Predictors of Counselor Self-Efficacy
The authors utilized a correlational research design to examine the role of racial identity development and impostor phenomenon in predicting counselor self-efficacy among counselors-in-training of color. Racial identity development significantly predicts counselor self-efficacy, and imposter phenomenon is correlated with counselor self-efficacy. Based on the findings, the authors provide implications and recommendations for counselor educators and supervisors
Turning 50 Hours into 5 Minutes: Automating Work with Custom Tools
This project streamlines a critical business task for the Kutztown Honors Program by automating the extraction of information from student transcript PDFs. Using custom software written in Python, the program parses 400 pages of data in 70 seconds to significantly reduce the hours of manual effort previously required. By leveraging skills from the CSIT curriculum, this project represents an innovative approach for a CSIT student to support a university department through custom software solutions. The project enhances operational efficiency for the Honors Program and demonstrates the practical application of computer science to solve real-world problems within the wider academic community
Use of a Relational Cultural Framework of Supervision and Its Influence on Practicum Student Self-Efficacy
Supervision is one of the foundations of counselor development within counselor training programs and post-education licensure and certification processes. While educators have created many theories to address the supervision needs of counselors in training (CITs), relatively few address relational development and its impact on CITs’ self-efficacy. The researchers sought to address this gap by exploring Relational Cultural Supervision with practicum-level CITs. The researchers conducted a qualitative investigation utilizing a case study to examine the impact of Relational Cultural Supervision on practicum-level CIT reports of self-efficacy in a large CACREP-accredited university in the Southeastern United States. Results indicate that Relational Cultural Supervision positively impacts CIT development with a 26.4% increase in the cases self-efficacy levels from pre- to post-assessment. The researchers offer recommendations for using Relational Cultural Supervision and areas for future research
The relationship between international counseling students\u27 needs and acculturative stress
The number of international students enrolled in the Council for Accreditation of Counseling and Related Educational Programs (CACREP) accredited programs has increased by 214 percent since 2015. This study focused on understanding the relationship between acculturative stress and needs among international students enrolled in CACREP-accredited programs. The students in this sample reported low acculturative stress, low financial and cultural needs, average Language and Social needs, and moderate Academic needs. Students\u27 academic, social, cultural, and language needs were positively correlated with their acculturative stress. Acculturative stress and needs did not differ across the length of time students lived in the United States, their degree program (doctoral vs. master), or their cultural background (collectivist vs. individualist). Implications and suggestions are offered for counselor educators teaching international students
Schedule & Program Booklet
The program for the 2024 Kutztown University Composition Conference
Program and Schedule for KU Inspires, April 17 2024.
Conference featuring Undergraduate and Graduate Research done at Kutztown University by Kutztown University students. Sponsored by the Office of Undergraduate Research
Searching for Equity Within Children\u27s Literature: A Professor and Students\u27 Journey of Diversity, Equity, Inclusion and Belonging
Children\u27s literature, books written specifically for children ages birth through fourth grade, is a core resource in early childhood education and is heavily used as part of the instruction of pre-service students. Many professors of early childhood educators take great pride in their personal classroom libraries, often including favorite books from their schooling and pre-service days. A professor\u27s personal classroom library consists of children\u27s books used within the classroom, books used as examples, and books loaned to students for assignments. Pre-service students get excited to share their favorite books in class and in their field placements. After years of teaching the children\u27s literature course, I began to flesh out patterns of inequity and exclusion as I repeatedly saw the same white authors, illustrators, and white-dominated stories. Was my classroom collection of children\u27s literature diverse and inclusive of all cultures and races? Was it representative of the student population in both the classroom and placement settings? Was I doing a dis-service to the pre-service students by not looking at the classroom collection through a more critical, inclusive lens? Using the same popular stories, authors, and illustrators, was I establishing a pattern showcasing the overabundance of whiteness in children\u27s literature? In this action research study, I worked alongside pre-service students for two semesters, looking critically at the books associated with my children\u27s literature course through the lens of diversity, equity, inclusion, and belonging. The students and I completed an equity audit on my personal classroom library collection. Using an electronic equity audit called CAT, the tool looked at strengths, needs, and patterns found within a collection of literature, such as bi/multiracial/mixed characters represented in the collection. I used this tool to better understand if students self-actualized their positionality and identified the amount of mono-cultural literature used within children\u27s literature. The data gathered through field notes, a teacher journal, and class artifacts was used with the explicit plan to transform pre-service students to expand their framework of thinking to be more diverse, inclusive, and culturally responsive teachers. This research project highlights what changes, if any, occurred due to the equity audit and course assessments
Decay And Regeneration III with Soundtrack
This work was inspired by daily walks in Penn’s Woods & Kutztown University of PA campus and also Mondrian’s trees. Music is an excerpt from the artist’s improvised piece at Electro-Music Summer Solstice webcast June 2015. Video capture uses the artist’s custom photographs with sequencing and improvised filtering in Processing via off-the-shelf and custom interactive filter applications. The video capture is like improvising a visual instrument with recorded “piano roll” data for later tweaking and playback. This video reflects the author’s daily walks around his familiar environs
Preparing and Teaching Data Science Courses
Preparing and teaching realistic data science courses requires labor-intensive preparation and course delivery. It is not enough to download data and push buttons on machine learning tools. First, there must be a human expert available in the problem domain to supply data and evaluate work. Without a human expert to provide information that is missing or incorrect in archived data, the tendency is to take the output of machine learning algorithms using potentially faulty data on faith. Second, any real-world data requires custom scripts for correcting invalid values, creating derived attributes, and formatting data for analysis. Then comes the analysis, which is usually iterative because of incremental discoveries, often requiring additional data, expertise, data preparation, and analysis. This case study outlines four domains of data analysis that have been very useful in teaching and student- oriented research: 1) analyzing Java programming student performance as a function of work habits; 2) analyzing physical and chemical relationships in Pennsylvania stream flow data; 3) analyzing audio files for waveform type and noise levels; and 4) analyzing raptor migration counts in Pennsylvania as a function of climate change