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Hadis Anahideh; Nazanin Nezami; Abolfazl Asudeh – Grantee Submission, 2025
It is of critical importance to be aware of the historical discrimination embedded in the data and to consider a fairness measure to reduce bias throughout the predictive modeling pipeline. Given various notions of fairness defined in the literature, investigating the correlation and interaction among metrics is vital for addressing unfairness.…
Descriptors: Correlation, Measurement Techniques, Guidelines, Semantics
Isbell, Daniel R.; Brown, Dan; Chen, Meishan; Derrick, Deidre J.; Ghanem, Romy; Arvizu, María Nelly Gutiérrez; Schnur, Erin; Zhang, Meixiu; Plonsky, Luke – Modern Language Journal, 2022
Scientific progress depends on the integrity of data and research findings. Intentionally distorting research data and findings constitutes scientific misconduct and introduces falsehoods into the scientific record. Unintentional distortions arising from questionable research practices (QRPs), such as unsystematically deleting outliers, pose…
Descriptors: Data Analysis, Applied Linguistics, Research Problems, Integrity
Baker, Bernadette – Curriculum Inquiry, 2017
The demand for evidence in particular forms shapes contemporary educational policy, curriculum studies' debates over the politics of knowledge "versus" wisdom, and research into classroom practice. This paper provides a genealogical trace that examines the arbitrary and historical linkage of discourses of vision (especially when vision…
Descriptors: Social Science Research, Educational Research, Educational Policy, Evidence
Casola, Linda – National Academies Press, 2020
Established in December 2016, the National Academies of Sciences, Engineering, and Medicine's Roundtable on Data Science Postsecondary Education was charged with identifying the challenges of and highlighting best practices in postsecondary data science education. Convening quarterly for 3 years, representatives from academia, industry, and…
Descriptors: Meetings, Data Analysis, Postsecondary Education, Statistics Education
Steiner, Christina M.; Kickmeier-Rust, Michael D.; Albert, Dietrich – Journal of Learning Analytics, 2016
To find a balance between learning analytics research and individual privacy, learning analytics initiatives need to appropriately address ethical, privacy, and data protection issues. A range of general guidelines, model codes, and principles for handling ethical issues and for appropriate data and privacy protection are available, which may…
Descriptors: Privacy, Guidelines, Ethics, Information Security
Elmslie, Bruce T.; Tebaldi, Edinaldo – Journal of Economic Education, 2010
Many instructors in subjects such as economics are frequently concerned with how to teach technical material to undergraduate students with limited mathematical backgrounds. One method that has proven successful for the authors is to connect theoretically sophisticated material with actual data. This enables students to see how the theory relates…
Descriptors: Economic Progress, Undergraduate Students, Economics Education, Macroeconomics