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Hwang, Jackelyn; Dahir, Nima; Sarukkai, Mayuka; Wright, Gabby – Sociological Methods & Research, 2023
Visual data have dramatically increased in quantity in the digital age, presenting new opportunities for social science research. However, the extensive time and labor costs to process and analyze these data with existing approaches limit their use. Computer vision methods hold promise but often require large and nonexistent training data to…
Descriptors: Data Analysis, Visual Aids, Sanitation, Municipalities
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Marsela Thanasi-Boçe; Julian Hoxha – Education and Information Technologies, 2024
Entrepreneurship education has evolved to meet the demands of a dynamic business environment, necessitating innovative teaching methods to prepare entrepreneurs for market uncertainties. Large Language Models (LLMs) like the Generative Pre-trained Transformer 4 (GPT-4), recognized for their exceptional performance on public datasets, are examined…
Descriptors: Entrepreneurship, Business Administration Education, Technology Integration, Artificial Intelligence
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Lewis, Armanda; Stoyanovich, Julia – International Journal of Artificial Intelligence in Education, 2022
Although an increasing number of ethical data science and AI courses is available, with many focusing specifically on technology and computer ethics, pedagogical approaches employed in these courses rely exclusively on texts rather than on algorithmic development or data analysis. In this paper we recount a recent experience in developing and…
Descriptors: Statistics Education, Ethics, Artificial Intelligence, Compliance (Legal)
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Seymoens, Tom; Van Audenhove, Leo; Van den Broeck, Wendy; Mariën, Ilse – Journal of Media Literacy Education, 2020
This paper presents "the DataBuzz Project." "DataBuzz" is a high-tech, mobile educational lab, which is housed in a 13-meter electric bus. Its specific goal is to increase the data literacy of different segments of society in the Brussels region through inclusive and participatory games and workshops. In this paper, we will…
Descriptors: Data Analysis, Literacy, Program Descriptions, Laboratories