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(Supervised) Practice Makes Progress: Student Meaning Making and Development through Internship Experiences
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Matthew J. Smith; Katherine H. Burr; Laura A. Dean – Journal of Student Affairs Research and Practice, 2025
Informed by Kolb's experiential learning theory and Baxter Magolda's holistic theory of student development, this qualitative study explores the experiences of graduate students in a supervised internship. From an analysis of written assignments completed during the internship experience, our findings reveal abundant meaning-making opportunities…
Descriptors: Graduate Students, Masters Programs, Internship Programs, Individual Development
Institutionalizing International Internships in Business Education: An Action Research Approach to Overcoming Barriers and Driving Systemic Change in Norwegian Business Schools
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Roberto Rivas Hermann; Eivind Arne Fauskanger – Scandinavian Journal of Educational Research, 2025
This paper investigates the institutionalization of international internships in business education through action research (AR), addressing the scarcity of research on overcoming institutional barriers and driving systemic change. Using AR at the meso-level in two Norwegian business schools, we investigate challenges and processes involved in…
Descriptors: International Education, Business Education, Internship Programs, Foreign Countries
Fostering the Development of Earth Data Science Skills in a Diverse Community of Online Learners: A Case Study of the Earth Data Science Corps
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Nathan A. Quarderer; Leah Wasser; Anne U. Gold; Patricia Montaño; Lauren Herwehe; Katherine Halama; Emily Biggane; Jessica Logan; David Parr; Sylvia Brady; James Sanovia; Charles Jason Tinant; Elisha Yellow Thunder; Justina White Eyes; LaShell Poor Bear/Bagola; Madison Phelps; Trey Orion Phelps; Brett Alberts; Michela Johnson; Nathan Korinek; William Travis; Naomi Jacquez; Kaiea Rohlehr; Emily Ward; Elsa Culler; R. Chelsea Nagy; Jennifer Balch – Journal of Statistics and Data Science Education, 2025
Today's data-driven world requires earth and environmental scientists to have skills at the intersection of domain and data science. These skills are imperative to harness information contained in a growing volume of complex data to solve the world's most pressing environmental challenges. Despite the importance of these skills, Earth and…
Descriptors: Electronic Learning, Earth Science, Environmental Education, Science Education