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Education / Evaluation & Assessment

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Gaming the Metrics

Gaming the Metrics

Gaming the Metrics

Misconduct and Manipulation in Academic Research

Edited by Mario Biagioli and Alexandra Lippman

ISBN: 9780262537933

Publisher: The MIT Press

Pub Date: January 28, 2020

How the increasing reliance on metrics to evaluate scholarly publications has produced new forms of academic fraud and misconduct.
Bibliometrics and Research Evaluation

Bibliometrics and Research Evaluation

Bibliometrics and Research Evaluation

Uses and Abuses

by Yves Gingras

ISBN: 9780262035125

Publisher: The MIT Press

Pub Date: October 7, 2016

Why bibliometrics is useful for understanding the global dynamics of science but generate perverse effects when applied inappropriately in research evaluation and university rankings.
Documenting and Assessing Learning in Informal and Media-Rich Environments

Documenting and Assessing Learning in Informal and Media-Rich Environments

Documenting and Assessing Learning in Informal and Media-Rich Environments

by Jay Lemke, Robert Lecusay, Michael Cole and Vera Michalchik

ISBN: 9780262527743

Publisher: The MIT Press

Pub Date: March 6, 2015

An extensive review of the literature on learning assessment in informal settings, expert discussion of key issues, and a new model for good assessment practice.
Stealth Assessment

Stealth Assessment

Stealth Assessment

Measuring and Supporting Learning in Video Games

by Valerie Shute and Matthew Ventura

ISBN: 9780262518819

Publisher: The MIT Press

Pub Date: March 8, 2013

An approach to performance-based assessments that embeds assessments in digital games in order to measure how students are progressing toward targeted goals.
Measuring What Matters Most

Measuring What Matters Most

Measuring What Matters Most

Choice-Based Assessments for the Digital Age

by Daniel L. Schwartz and Dylan Arena

ISBN: 9780262518376

Publisher: The MIT Press

Pub Date: January 25, 2013

An argument that choice-based, process-oriented educational assessments are more effective than static assessments of fact retrieval.
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