What Have We Learned?

Authored by: Lorin Mueller , Yu Zhang , Steve Ferrara

Handbook of Quantitative Methods for Detecting Cheating on Tests

Print publication date:  October  2016
Online publication date:  October  2016

Print ISBN: 9781138821804
eBook ISBN: 9781315743097
Adobe ISBN: 9781317588108

10.4324/9781315743097.ch20

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Abstract

This chapter is not meant as a comprehensive review of the relative strengths and weaknesses of each of the methods and concepts covered in this book, but as a high-level overview and practical perspective, taking into account the common themes across its chapters. The chapters in this book provide a comprehensive presentation of techniques, both statistical and practical, for detecting and dealing with cheating in its various forms. As a first step, we will cover the basic approaches, findings, and interesting points made in each chapter. Next, we will compare the results for one of the example databases to determine how well these approaches do as a whole in detecting cheating. Next, we will discuss some broad themes from across the chapters, noting chapters where an exceptionally informative discussion of a particular theme can be found. Finally, we lay out five challenges for researchers and practitioners using these methods to detect cheating on tests.

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