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D'Souza, Kelwyn A.; Siegfeldt, Denise V. – Decision Sciences Journal of Innovative Education, 2017
Selecting the right methodology to use for detecting cheating in online exams requires considerable time and effort due to a wide variety of scholarly publications on academic dishonesty in online education. This article offers a cheating detection framework that can serve as a guideline for conducting cheating studies. The necessary theories and…
Descriptors: Identification, Cheating, Computer Assisted Testing, Testing Problems
Zetterqvist, Lena – Teaching Mathematics and Its Applications, 2017
Researchers and teachers often recommend motivating exercises and use of mathematics or statistics software for the teaching of basic courses in probability and statistics. Our courses are given to large groups of engineering students at Lund Institute of Technology. We found that the mere existence of real-life data and technology in a course…
Descriptors: Technology Uses in Education, Alignment (Education), Probability, Statistics
Huett, Jason Bond; Young, Jon; Huett, Kimberly Cleaves; Moller, Leslie; Bray, Marty – Quarterly Review of Distance Education, 2008
The purpose of this research was to manipulate the component of confidence found in Keller's ARCS Model to enhance the confidence and performance of undergraduate students enrolled in an online course at a Texas University. This experiment used SAM Office 2003 and WebCT for the delivery of the tactics, strategies, confidence-enhancing e-mails…
Descriptors: Control Groups, Undergraduate Students, Online Courses, Instructional Effectiveness