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Articles 1 - 3 of 3
Full-Text Articles in Education
Reformers, Batting Averages, And Malpractice: The Case For Caution In Value-Added Use, Dan Gleason
Reformers, Batting Averages, And Malpractice: The Case For Caution In Value-Added Use, Dan Gleason
Faculty Publications & Research
The essay considers two analogies that help to reveal the limitations of value-added modeling: the first, a comparison with batting averages, shows that the model’s reliability is quite limited even though year-to-year correlation figures may seem impressive; the second, a comparison between medical malpractice and so-called educational malpractice, suggests that strict accountability measures within education are out of line with legal precedent.
The Imsa© Promise: Diverse Perspectives Do Enrich Understanding!, Barb J. Miller, Adrienne Coleman
The Imsa© Promise: Diverse Perspectives Do Enrich Understanding!, Barb J. Miller, Adrienne Coleman
Publications & Research
For years we have grappled with the effects of the Achievement Gap, which has been defined by: (a) the National Assessment of Educational Progress (2011) as the “observed, persistent disparity of educational measures between the performance of groups of students, especially groups defined by socioeconomic status (SES), race/ethnicity and gender; (b) The National Education Association (2013) as differences between the scores of students with different backgrounds (ethnic, racial, gender, disability, and income) are evident on large-scale standardized tests, adding that test score gaps often lead to longer-term gaps, including high school and college completion and the kinds of jobs students …
Teaching Information Fluency: How To Teach Students To Be Efficient, Ethical, And Critical Information Consumers, Carl Heine, Dennis O'Connor
Teaching Information Fluency: How To Teach Students To Be Efficient, Ethical, And Critical Information Consumers, Carl Heine, Dennis O'Connor
Publications & Research
Searching is becoming easier than thinking. Enter a query in a search engine, and the searcher is instantly flooded with results. Information has never been easier to retrieve and consume. At the same time, determining the quality of the results remains a daunting task. Despite the attempts to make search tools "brain dead easy"1 to use, searching that reduces the need to think invites problems. Machines cannot reliably predict what each individual is hunting for, machines cannot determine what is credible, yet that is the direction search engine development is headed.