Essays about: "cheating in exams"
Found 5 essays containing the words cheating in exams.
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1. HOW TO CHEAT IN ONLINE EXAMS
University essay from Göteborgs universitet/Institutionen för pedagogik, kommunikation och lärandeAbstract : Purpose: The overall focus of the present study is on the relationship between academic dishonesty and information technologies in online higher education. Specifically, the purpose is to explore how digital technologies facilitate and shape academic offenses conducted by university students. READ MORE
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2. A thesis that writes itself : On the threat of AI-generated essays within academia
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Historically, cheating in universities has been limited to smuggling notes into exams, unauthorized cooperation, plagiarism and using ghost writers. New improvements in natural language processing now allow students to easily generate text, that is both unique and, in many ways, indistinguishable from what a human would create. READ MORE
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3. Radio signal detection and localisation for uncovering unauthorised signals in an examination environment
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Examination is a fundamental part of education, both for students and institutions. Cheating on exams is something educational institutions are trying to reduce. One form of cheating is the use of a mobile phone to live-stream the exam to pass the test. READ MORE
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4. A cheat detection system for an educational pentesting cyber range: an intrusion deficit approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In academic courses, effort is given to detect and deal with plagiarism. Examplesof traditional plagiarism detection techniques include comparison of submittedhomework or supervised exams. Such techniques, however, are limitedin application to traditional teaching methods. READ MORE
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5. The Viability of Machine Learning Models Based on Levenstein Distance and Cosine Similarity for Plagiarism Detection in Digital Exams
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This paper investigates the viability of a machine learning model based on similarities in text structure compared to one based on statistical properties in the text to detect cheating in digital examinations. The machine learning model comparing similarity in text structure used Levenstein distance and the one comparing statistical text properties compared cosine distance between word vectors. READ MORE