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A Model for Artificial Intelligence (AI) Literacy Education: Reflections on Teaching Graduate-Level Teacher Education Courses
This practice-oriented self-study examines the development of an artificial intelligence (AI) literacy education model grounded in my reflective teaching practices and journey in graduate-level teacher education courses. As AI tools become increasingly embedded in educational and everyday technologies, both teachers and learners often remain unaware of the algorithms, data ethics, and biases that shape AI-driven systems (Ghallab, 2019; Ng et al., 2022). Recognizing that many teachers and teacher candidates responsible for educating the next generation have a minimal understanding of AI tools’ limitations and the ethical risks involved in AI use, I drew on my own experiences and knowledge as a language teacher educator to design the proposed model. Informed by Ng et al.’s (2022) AI literacy framework and constructionist approach, this article provides a model that integrates intentional opportunities for students to know, apply, and evaluate AI. I further discuss ways to promote students’ critical interrogation of AI-generated output while fostering responsible AI use
BRST Conserved Moments for Fluids
This note adds a missing proof for an assertion in the original paper Gauge Invariance and Repeated Time Isolated Solution Discontinuities.
The assertion is that under weak limits and within a constant energy isosurface, enstrophy is conserved up to losses due to viscous dissipation.
According to the BRST theory for quantum Yang-Mills fields, the conserved moments are exactly those with infinite vacuum expectation values. Application of the BRST theory to fluids is explored. The BRST restriction to the loop expansion (fixed space) is justified by the reqirement that a perturbative expansion can be constructed. In this case the theory predicts exactly three conservation laws for Navier-Stokes incompressible fluids, or only two if the enstrophy orientations are regarded as a single theory. One conservation law was known previously and the other one or two identified here.
The theory predicts the same three or two conservation laws for Ising model fluids, explicitly identified.
A notion of weak convergence with cutoffs order by order for the fluid (Navier-Stokes or Euler) is sketched, with uniformity of the Euler limit as the viscosity
Mathematicly Rigorous Quantum General Relativity, I: Pure
A pure general relativity (quantum or classical) is one lacking in matter. Such a field has a Lorentzian space time geometry. A renormalization perturbative expansion, truncated to all finite orders, establishes both the quantum and the general relativity theory with full mathematical rigor
Cultivating Global Citizenship at Home: A Content Analysis of Collaborative Online International Learning (COIL)
This study presents a content analysis of scholarly works on collaborative online international learning (COIL) published between 2015 and 2023. Conducted by an interdisciplinary faculty group, the research explores how COIL literature frames student learning outcomes within internationalization-at-home efforts. Findings reveal that COIL most frequently supports assignments/projects, as well as intercultural communication and global competence, particularly at the undergraduate level. The analysis highlights COIL’s potential to democratize global learning by addressing access barriers for both students and faculty. The study calls for expanded research on the long-term impacts of COIL, inclusive pedagogies, and cross-institutional collaborations to advance global citizenship in higher education
Final Doctoral Recital
Voice, Thomas Killourhy, Franz Schubert. Please see additional documents for recital program
Collaborative Autoethnographic Reflections on GenAI in Higher Education: A Cross-Disciplinary Perspective
This study seeks to examine and understand the role of generative artificial intelligence (GenAI) and its influence on higher education through an autoethnographic approach. Through collective reflection on the observations and practices of four faculty members in a medium-sized public university, this study offers insights into the discourse on GenAI and its educational and cultural implications. The study’s conceptual framework integrates the New Literacies with the Micro-Meso-Macro levels, guiding four faculty members’ reflections, perspectives, and practices on AI use. Data sources include focus group interviews and journals. Findings show the four faculty members\u27 varying levels of understanding and knowledge about AI. Faculty members expressed concerns about AI ethics, such as AI transparency and academic integrity. This study highlights the importance of community support and engagement for faculty AI literacy, yet notes frequent concerns about limited resources. The study also highlights a need for further exploration into differentiating AI literacy for educators and reconceptualizing the learning culture within the context of AI
Quantum General Relativity v2
We construct a quantum general relativity theory.. The construction includes specification of a cosmological model. Based on type Ia supernova data, the model has zero dark energy and zero cosmological constant.
The analysis is at the level of theoretical physics, with some mathematical details omitted
The Pure Yang Mills Field v2
We construct a pure Yang-Mills field based on a non-Abelian simple gauge group.
Axioms and the mass gap are satisfied
Final Doctoral Recital
Harpsichord, Nicolas Geoffroy, Johann Caspar Kerll, Dietrich Buxtehude, Antonio Vivaldi, Jean-Baptiste Lully. Please see Additional Documents for Recital Program
Characteristics of Shallow Convection in Diverse Coastal Conditions
Clouds are an important component of Earth’s climate system. In particular, shallow convective clouds contribute to the vertical transport of heat, moisture, and momentum in the troposphere, and they generally have a net cooling effect on the planet’s radiation budget. Previous studies have often been limited by a lack of large observational samples needed to understand these clouds and their characteristics. This dissertation strives to overcome this limitation by analyzing observations of shallow convective clouds in two different coastal regions and using two different measurement paradigms. First, shallow convective clouds generated by cold-air outbreaks on the northern coast of Norway are observed by a research cloud radar, and dynamical and microphysical properties like updrafts and ice crystal concentrations are retrieved. Second, operational precipitation radar and geostationary satellite observations in southeast Texas are used to quantify the spatiotemporal variability of shallow convective cloud properties like cloud fraction, cloud top height, and precipitation occurrence. A tracking algorithm is then applied to the radar observations to provide statistics of individual shallow convective cloud lifecycles. These two approaches, while different, provide a more complete understanding of convective cloud characteristics