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Explanatory Models, Unit Standards, and Personalized Learning in Educational Measurement

About Explanatory Models, Unit Standards, and Personalized Learning in Educational Measurement

The papers by Jack Stenner included in this book document the technical details of an art and science of measurement that creates new entrepreneurial business opportunities. Jack brought theory, instruments, and data together in ways that are applicable not only in the context of a given test of reading or mathematics ability, but which more importantly catalyzed literacy and numeracy capital in new fungible expressions. Though Jack did not reflect in writing on the inferential, constructive processes in which he engaged, much can be learned by reviewing his work with his accomplishments in mind. A Foreword by Stenner's colleague and co-author on multiple works, William P. Fisher, Jr., provides key clues concerning (a) how Jack's understanding of measurement and its values aligns with social and historical studies of science and technology, and (b) how recent developments in collaborations of psychometricians and metrologists are building on and expanding Jack's accomplishments. ¿This is an open access book.

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  • Language:
  • English
  • ISBN:
  • 9789811937460
  • Binding:
  • Hardback
  • Pages:
  • 400
  • Published:
  • October 16, 2022
  • Edition:
  • 22001
  • Dimensions:
  • 160x27x241 mm.
  • Weight:
  • 764 g.
Delivery: 2-4 weeks
Expected delivery: October 24, 2024

Description of Explanatory Models, Unit Standards, and Personalized Learning in Educational Measurement

The papers by Jack Stenner included in this book document the technical details of an art and science of measurement that creates new entrepreneurial business opportunities. Jack brought theory, instruments, and data together in ways that are applicable not only in the context of a given test of reading or mathematics ability, but which more importantly catalyzed literacy and numeracy capital in new fungible expressions. Though Jack did not reflect in writing on the inferential, constructive processes in which he engaged, much can be learned by reviewing his work with his accomplishments in mind. A Foreword by Stenner's colleague and co-author on multiple works, William P. Fisher, Jr., provides key clues concerning (a) how Jack's understanding of measurement and its values aligns with social and historical studies of science and technology, and (b) how recent developments in collaborations of psychometricians and metrologists are building on and expanding Jack's accomplishments.

¿This is an open access book.

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