New PDF release: Advancing Methodologies to Support Both Summative and

By Ying Cheng, Hua-Hua Chang

ISBN-10: 1623965950

ISBN-13: 9781623965952

A quantity within the chinese language American academic learn and improvement organization e-book sequence sequence Editor Jinfa Cai, collage of Delaware over the last thirty years, scholar review has develop into an more and more vital portion of public schooling. numerous methodologies in checking out were constructed to acquire and interpret the wealth of evaluate results. As evaluation pursuits are becoming more and more multifaceted, new trying out methodologies are referred to as for to supply extra available and trustworthy info on extra advanced constructs or approaches, comparable to scholars' criticalthinking and problem-solving abilities. checking out methodologies are had to extract details from exams on such advanced talents, to be able to propose lecturers approximately sure parts of scholars that want intervention. it's even a much bigger problem, and a necessary challenge of trendy large-scale tests, to achieve such details from checking out information in an effective demeanour. for instance PARCC and Smarter Balanced exams consortia are either striving to provide formative exams via individualized, adapted trying out. The ebook presents state of the art assurance on new methodologies to aid tradit ional summative evaluate, and extra importantly, for rising formative exams.

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The design with longer later stages is justified through administering more items when the test becomes more closely aligned with the examinees’ ability levels. Both designs gain some accuracy from one side and lose some accuracy from the other. The counterbalance has been empirically proven in studies: Both Patsula (1999) and Chen (2011) found that different allocation designs have little impact on measurement accuracy. A similar dilemma exists when deciding whether to use more discriminating items in the routing stage or later stages.

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Exact and approximate methods for a one-dimensional minimax bin-packing problem. Annals of Operations Research, 206, 611–626. , & Junker, B. (2006, June 26–30). Learning factors analysis–A general method for cognitive model evaluation and improvement. Proceedings of the 8th International Conference on Intelligent Tutoring Systems, Jhongli, Taiwan. -H. (2006, April). IRT-based Automated Test Assembly: A sampling and stratification approach with content balance. Paper presented at the annual meeting of the National Council on Measurement in Education, San Francisco, CA.

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Advancing Methodologies to Support Both Summative and Formative Assessments by Ying Cheng, Hua-Hua Chang

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