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Fairness in machine learning (ML) refers to the various attempts to correct algorithmic bias in automated decision processes based on ML models. Decisions made by such models after a learning process may be considered unfair if they were based on variables considered sensitive (e.g., gender, ethnicity, sexual orientation, or disability).
Assessment of a skill should comply with the four principles of validity, reliability, fairness and flexibility. Formative assessment provides feedback for remedial work and coaching, while summative assessment checks whether the competence has been achieved at the end of training.
The 2014 edition is the 7th edition of The Standards, and it shares the exact same names as the 1985 and 1999 editions. [3] Technical recommendations for psychological tests and diagnostic techniques: A preliminary proposal (1952) and Technical recommendations for psychological tests and diagnostic techniques (1954) editions were quite brief.
A major concern with the use of educational assessments is the overall validity, accuracy, and fairness when it comes to assessing English language learners (ELL). The majority of assessments within the United States have normative standards based on the English-speaking culture, which does not adequately represent ELL populations.
Changing the testing conditions in a way that improves fairness with respect to a permanent or temporary disability, but without undermining the main point of the assessment, is called accommodation. However, if the purpose of the test were to see how quickly the student could write, then giving the test taker extra time would become a ...
The Social Security Fairness Act, one of the most bipartisan bills in Congress this session, aims to repeal WEP and GPO. The House voted to pass the legislation Nov. 12, and the Senate approved it ...
Factors such as socioeconomic status, cultural differences, language barriers, and disparities in knowledge access can contribute to nonuniform DIF. Identifying and addressing nonuniform DIF requires a deeper understanding of the underlying cognitive processes involved and may require tailored interventions to ensure fair assessment practices.
Fire insurance has become more costly—if it's available at all—in California, leading more Golden State homeowners to turn to the FAIR Plan, a government-backed insurer of last resort. But as ...