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Stressors and Solutions: A Preliminary Examination of Acculturative Stress among International Students
No full textEmerging Schola
Pre-service Teacher\u27s Perceptions on Global Citizenship and Online Education in a Virtual Exchange Context
No full textEmerging Schola
Wrack Lines Volume 23, No. 2, Fall-Winter 2023-2024
No full textLearn about the inspiring journey of a mini sailboat, lessons from beaches and school aquariums and the unique geology of the Connecticut shoreline in the Fall-Winter 2023-2024 issue of Wrack Lines magazine. More good reading can be found in articles about how the ocean literacy campaign and ocean identity research are working to expand marine science education.
Titled, “Learning about the Sea: How it Becomes Real, Visible and Connecticut to Human Life,” the issue presents the diverse and exciting realm of marine science education, from international excursions to the geologic stories of our coast; from classrooms and beach field trips to the education experts devoting themselves to advancing people’s understanding of the ocean and its importance in our lives
Book Review of Phan, L. H., & Doan, B. N. (2020). Higher education in market-oriented socialist Vietnam: New players, discourses, and practices
No full textCommedia dell’Arte: The Mechanisms of Othering
No full textThis chapter proposes that the dramaturgic flexibility within historical Commedia dell’Arte was predicated on a performance methodology that demanded a changing pattern of othering, depending on the class, economic strength and region of their audiences.https://digitalcommons.lib.uconn.edu/ballinst_alterity/1002/thumbnail.jp
Library Can’t Buy You (All The) Data: What data sources are our business researchers citing?
No full textThis presentation is a fascinating look at how business researchers use databases and datasets. Our study examines the full text of hundreds of journal articles published between 2020 and 2023, by researchers from two business schools belonging to R1 universities in the Northeast U.S. - New York University, a top private research university, and the University of Connecticut, a public land-grant university.
Our presentation will list the most commonly cited datasets - commercial data and public, open data. We discuss the similarities and differences between the two business schools and offer insights on how dataset usage impacts research outcomes and visibility.
In addition, we carry out experiments utilizing machine-learning topic modeling techniques, including Latent Dirichlet Allocation (LDA) and other textual analysis methods. Our objective was to cluster content found in abstracts and parts of full text to identify a specific number of prominent topics within our corpora. We determine the dominant issue in each article and plan to perform cross-comparisons of the databases and datasets employed in the relevant studies and the identified topic clusters.
We believe that our findings have important implications for acquisition librarians, business librarians and business researchers. Librarians can use our findings to help researchers identify and access the datasets that are most relevant to their research. Libraries can help researchers find and understand open data, as well as provide tools and resources in data stewarding. Researchers can use our findings to understand how their peers are using datasets and to identify new opportunities for research