Measuring what matters most : choice-based assessments for the digital age / Daniel L. Schwartz and Dylan Arena.
2013
LB3060.55
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Title
Measuring what matters most : choice-based assessments for the digital age / Daniel L. Schwartz and Dylan Arena.
Author
ISBN
9780262312882 (electronic bk.)
0262312883 (electronic bk.)
9780262312875 (electronic bk.)
0262312875 (electronic bk.)
9780262518376
0262518376
0262312883 (electronic bk.)
9780262312875 (electronic bk.)
0262312875 (electronic bk.)
9780262518376
0262518376
Published
Cambridge, Massachusetts : The MIT Press, [2013]
Copyright
©2013
Language
English
Description
1 online resource (vi, 181 pages) : illustrations.
Call Number
LB3060.55
Dewey Decimal Classification
371.26
Summary
"If a fundamental goal of education is to prepare students to act independently in the world -- in other words, to make good choices -- an ideal educational assessment would measure how well we are preparing students to do so. Current assessments, however, focus almost exclusively on how much knowledge students have accrued and can retrieve. In Measuring What Matters Most, Daniel Schwartz and Dylan Arena argue that choice should be the interpretive framework within which learning assessments are organized. Digital technologies, they suggest, make this possible; interactive assessments can evaluate students in a context of choosing whether, what, how, and when to learn. Schwartz and Arena view choice not as an instructional ingredient to improve learning but as the outcome of learning. Because assessments shape public perception about what is useful and valued in education, choice-based assessments would provide a powerful lever in this reorientation in how people think about learning. Schwartz and Arena consider both theoretical and practical matters. They provide an anchoring example of a computerized, choice-based assessment, argue that knowledge-based assessments are a mismatch for our educational aims, offer concrete examples of choice-based assessments that reveal what knowledge-based assessments cannot, and analyze the practice of designing assessments. Because high variability leads to innovation, they suggest democratizing assessment design to generate as many instances as possible. Finally, they consider the most difficult aspect of assessment: fairness. Choice-based assessments, they argue, shed helpful light on fairness considerations."--Provided by Publisher.
Source of Description
OCLC-licensed vendor bibliographic record.
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