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Mohammad Arif Ul Alam; Geeta Verma; Eumie Jhong; Justin Barber; Ashis Kumer Biswas – International Educational Data Mining Society, 2025
The growing demand for microcredentials in education and workforce development necessitates scalable, accurate, and fair assessment systems for both soft and hard skills based on students' lived experience narratives. Existing approaches struggle with the complexities of hierarchical credentialing and the mitigation of algorithmic bias related to…
Descriptors: Microcredentials, Sex, Ethnicity, Artificial Intelligence