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[null,"1.","Record Nr.",null,"UNINA990001878630403321"]
[null,null,"Autore",null,"Peyronel, Beniamino"]
[null,null,"Titolo",null,"Prime osservazioni sulla distribuzione degli imenomiceti umicoli e sui loro probabili rapporti colle micorizeectotrofiche delle fanerogame / Beniamino Peyronel"]
[null,null,"Pubbl/distr/stampa",null,"Roma : ..., 1917"]
[null,null,"Descrizione fisica",null,"p. 326-332 ; 26 cm"]
[null,null,"Disciplina",null,"581.2"]
[null,null,"Locazione",null,"FAGBC"]
[null,null,"Collocazione",null,"60 MISC. B 174/8"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Estr. da: Rendiconti della r. Accademia dei Lincei. Classe di scienze fisiche, matematiche e naturali, 5 ser., 26(5):326-332,1917, 1 sem."]
[null,"2.","Record Nr.",null,"UNICAMPANIAVAN00040569"]
[null,null,"Titolo",null,"Parigi / a cura di Louis Bergeron"]
[null,null,"Pubbl/distr/stampa",null,"Roma ; Bari, : Laterza, 1989"]
[null,null,"ISBN",null,"88-420-3453-3"]
[null,null,"Descrizione fisica",null,"318 p. : ill. ; 25 cm."]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"3.","Record Nr.",null,"UNINA9910306634503321"]
[null,null,"Autore",null,"Schwartz Daniel L."]
[null,null,"Titolo",null,"Measuring what matters most : choice-based assessments for the digital age / / Daniel L. Schwartz and Dylan Arena"]
[null,null,"Pubbl/distr/stampa",null,"Cambridge, : The MIT Press, 2013"]
[{"$nulls":4},"Cambridge, Massachusetts : , : The MIT Press, , [2013]"]
[{"$nulls":4},"©2013"]
[null,null,"ISBN",null,"9780262312882"]
[{"$nulls":4},"0262312883"]
[{"$nulls":4},"9780262518376"]
[{"$nulls":4},"0262518376"]
[null,null,"Descrizione fisica",null,"1 online resource (vi, 181 pages) : illustrations"]
[null,null,"Collana",null,"The John D. and Catherine T. MacArthur Foundation reports on digital media and learning"]
[null,null,"Disciplina",null,"371.26"]
[null,null,"Soggetti",null,"Educational tests and measurements - Data processing"]
[{"$nulls":4},"Decision making - Evaluation"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"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."]
[null,null,null,"Sommario/riassunto","\"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 "]
[{"$nulls":4},"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."]