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Mabel, Zachary; Hurwitz, Michael D.; Howell, Jessica; Perfetto, Greg – Educational Evaluation and Policy Analysis, 2022
Many selective colleges consider the backgrounds of applicants to improve equity in admissions. However, this information is usually not available for all applicants. We examine whether the chances of admission and enrollment changed after 43 colleges gained access to a new tool that standardizes information on educational disadvantage for all…
Descriptors: College Applicants, College Admission, Disadvantaged, Equal Education
Maryam Roshanaei – Education and Information Technologies, 2024
Artificial Intelligence (AI) strives to create intelligent machines with human-like abilities. However, like humans, AI can be prone to implicit biases due to flaws in data or algorithms. These biases may cause discriminatory outcomes and decrease trust in AI. Bias in higher education admission may limit access to opportunities and further social…
Descriptors: Best Practices, Algorithms, Artificial Intelligence, Computer Software
George, Micael S., Jr.; Soares, Caio V.; Gilbert, Juan E. – Journal of Educational Technology, 2009
Obtaining diversity among admitted applicants is often a challenging task for most post secondary institutions. As a proposed solution to this challenge, Applications Quest (AQ) was created. AQ addresses the dilemma of how to achieve diversity while still upholding institutional academic standards and objectives while adhering to the law. A steady…
Descriptors: Ethics, College Admission, Student Diversity, College Applicants