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Contract cheating by STEM students through a file sharing website: a Covid-19 pandemic perspective.

• Authors : Lancaster, Thomas¹, ; Cotarlan, Codrin¹

• Source: International Journal for Educational Integrity; 2/4/2021, Vol. 17 Issue 1, p1-16, 16p

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Who’s Cheating? Mining Patterns of Collusion from Text and Events in Online Exams

• Authors : Christoph Hönnige; Philipp Meyer; Frank Meisel

Subjects: ComputingMilieux_THECOMPUTINGPROFESSION; Coronavirus disease 2019 (COVID-19); business.industry

• Source: INFORMS Transactions on Education. 23:84-94

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Detecting Students of Concern in Introductory Programming Classes: Techniques to Indicate Potential Struggle or Cheating

• Authors : Alzahrani, Nabeel

Subjects: Computer science

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Can We Prevent a Technological Arms Race in University Student Cheating?

• Authors : Erran Carmel; Joseph Mortati

Subjects: General Computer Science; Computer science; Cheating

• Source: Computer. 54:90-94

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Cheating at Craps

• Authors : Carey Williamson; Andrea Marin

Subjects: Modeling and simulation; Settore INF/01 - Informatica; Quantitative analysis (finance)

• Source: ACM SIGMETRICS Performance Evaluation Review. 48:53-61

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Outsourced cheating detection for secret sharing

• Authors : Hossein Ghodosi; Louis Cianciullo

Subjects: 021110 strategic, defence & security studies; Computer Networks and Communications; Computer science

• Source: International Journal of Information Security. 20:871-878

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Impact of simple cheating in application-level multicast

• Authors : Mathy, Laurent; Blundell, N.; Roca, V.

Subjects: Engineering, computing & technology; Computer science; Ingénierie, informatique & technologie

• Source: INFOCOM 2004. Twenty-third AnnualJoint Conference of the IEEE Computer and Communications Societies (2004); INFOCOM, 2004

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Individual cheating in the lab: a new measure and external validity

• Authors : Albertazzi, Andrea

Subjects: Earnings; Computer science; Cheating

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Address the rise in contract cheating amid the virtual learning environment

• Authors : Claudine McCarthy

Subjects: Computer science; business.industry; Internet privacy

• Source: Student Affairs Today. 24:1-5

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Assessing Preknowledge Cheating via Innovative Measures: A Multiple-Group Analysis of Jointly Modeling Item Responses, Response Times, and Visual Fixation Counts

• Authors : Kaiwen Man; Jeffrey R. Harring

Subjects: Biometrics; Computer science; Cheating

• Source: Educ Psychol Meas

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