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The application of generative AI in higher education, specifically focusing on its use in research and scholarly writing, is much talked about. It explores the opportunities and challenges associated with utilizing AI in these contexts and delves into the ethical considerations that arise. This draws attention to various sources, including academic papers and interviews with academicians, to provide insights into the perspectives and experiences of professionals in the field. Additionally, it is essential to stay abreast of recent updates in licensing and editorial policies for scientific…mehr

Produktbeschreibung
The application of generative AI in higher education, specifically focusing on its use in research and scholarly writing, is much talked about. It explores the opportunities and challenges associated with utilizing AI in these contexts and delves into the ethical considerations that arise. This draws attention to various sources, including academic papers and interviews with academicians, to provide insights into the perspectives and experiences of professionals in the field. Additionally, it is essential to stay abreast of recent updates in licensing and editorial policies for scientific publications and proposes a taxonomy for appropriately acknowledging the contribution of AI in scholarly works.
Autorenporträt
With a passion for computers and computer programming, I pursued my studies in the field of computer science, with an emphasis on machine learning algorithms for big data analytics and prediction of disorders. Mapping missing data items' values using cluster-based nearest neighbourhood methods are some areas of interest.