03836oam 2200505I 450 991030663450332120231110230227.00-262-31288-30-262-51837-6(CKB)4100000007522822(OCoLC)949907387(OCoLC-P)949907387(MaCbMITP)9430(MiAaPQ)EBC5340042(Au-PeEL)EBL5340042(oapen)https://directory.doabooks.org/handle/20.500.12854/78518(EXLCZ)99410000000752282220160518d2013 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierMeasuring what matters most choice-based assessments for the digital age /Daniel L. Schwartz and Dylan ArenaCambridge, Massachusetts :The MIT Press,[2013]©20131 online resource (vi, 181 pages) illustrationsThe John D. and Catherine T. MacArthur Foundation reports on digital media and learning0-262-31289-1 Beliefs about useful learning -- Enter technology -- Choice is the central concern -- The isolation of knowledge -- Preparation for future learning -- Choice-based assessments of learning -- Standards for twenty-first-century century learning choices -- The tangle of reliability and reification -- New approaches to assessment design -- A research and development proposal -- Fairness and choice -- Final 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.The John D. and Catherine T. MacArthur Foundation Reports on Digital Media and Learning Educational tests and measurementsData processingDecision makingEvaluationEducational tests and measurementsData processing.Decision makingEvaluation.371.26Schwartz Daniel L.221666Arena DylanOCoLC-POCoLC-PBOOK9910306634503321Measuring what matters most2278325UNINA