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Liberation Theology in Latin American Communities
No full textSandra Todd is a recipient of the Father Jack McGrath, S.M., Award for Research in Catholic Intellectual Traditions
“I Did Not Come Back the Same”: Implications of a Study Abroad Basic Communication Course
No full textThe goal of this case study was to explore students’ experiences in a study abroad program of the basic communication course. Thirty-six students enrolled in a study abroad program in the summer of 2023 participated in focus groups tasked to understand more about students’ challenges and learning outcomes. Results from our study suggest students’ significant takeaways from the study abroad experience were their personal growth through improved communication skills and cultural appreciation via expanded worldviews. The findings also suggest these students experienced challenges including language barriers and nonverbal behavioral differences as well as initial negative expectations of intercultural interactions. However, most students engaged in adaptive coping strategies (assimilating to social norms, seeking help from locals, engaging in self-deprecating humor) that helped them adjust and have positive expectancy violations. A few students engaged in maladaptive coping strategies (resisting assimilation, avoiding interactions or help-seeking) that resulted in met expectations or negative expectancy violations. Ultimately, the results suggest the value of study abroad experiences for students enrolled in the basic communication course
2025: Zachary L. Lewis, Milestone Book Selection
No full textPromotion to the rank of Associate Professor, University Librarieshttps://ecommons.udayton.edu/svc_milestone/1189/thumbnail.jp
Intelligent Motion Tracking: A Low-Cost Surveillance Framework Using SoC Devices and Sensor Fusion
No full textThis thesis presents the design and implementation of a lightweight surveillance system capable of realtime motion detection, object tracking, and behavioral history reconstruction in controlled environments. The system uses System-on-Chip devices such as Raspberry Pi boards equipped with NOIR cameras, monocular cameras, and break-beam sensors that work together to detect and track single or multiple moving objects like colored balls. The prototype is validated in structured settings with the goal of eventual deployment in more dynamic environments, addressing the challenge of reliably tracking visually similar objects with minimal distinguishing features. The architecture integrates computer vision with sensor fusion by combining camera image data with binary signals from break-beam sensors, applying motion prediction to estimate object states over time and using data association strategies to maintain consistent identities across frames. Supporting both centralized and distributed configurations, the framework provides flexibility and scalability for varied deployment scenarios. This research demonstrates the feasibility of reconstructing accurate motion trajectories and behavioral narratives using synchronized, time-stamped data from multiple distributed nodes, contributing to the development of low-cost, scalable surveillance systems with applications in security, automation, and robotics
Academic Policies Committee Minutes of the Academic Senate 2025-10-20
No full textApproved minutes of a meeting of the Academic Policies Committee of the Academic Senate of the University of Dayto
Faculty Advisory Committee Minutes of the Academic Senate 2025-10-27
No full textApproved minutes of a meeting of the Faculty Affairs Committee of the Academic Senate of the University of Dayton
Academic Policies Committee Minutes of the Academic Senate 2025-11-03
No full textApproved minutes of a meeting of the Academic Policies Committee of the Academic Senate of the University of Dayto
2025: Henry Handley, Milestone Book Selection
No full textPromotion to the rank of Associate Professor, University Librarieshttps://ecommons.udayton.edu/svc_milestone/1179/thumbnail.jp