Cheating on electronic exams

Slides:



Advertisements
Similar presentations
Student plagiarism in Norwegian universities and university colleges: What works, what doesn’t work, what still needs to be done Jude Carroll KTH & Oxford.
Advertisements

Hien D Nguyen.  Eleven Atlanta educators found guilty of participating in conspiracy to cheat on student standardized tests and charged with racketeering.
Random Variables. Definitions A random variable is a variable whose value is a numerical outcome of a random phenomenon,. A discrete random variable X.
Please CLOSE YOUR LAPTOPS, and turn off and put away your cell phones, and get out your note-taking materials. Today’s daily quiz will be given at the.
EG1003: Introduction to Engineering and Design Academic Honesty and Plagiarism Giving credit where it’s due.
1 Use of Mastery Software in the Undergraduate OM Course Peter J. Billington Colorado State University – Pueblo.
True/False. False True Subject May Go Here True / False ? Type correct answer here. Type incorrect answer here.
Contact Information Ms. Pilant
Determine whether each curve below is the graph of a function of x. Select all answers that are graphs of functions of x:
Algebra 1 R. Jenkins, M.S., M.A..
Please CLOSE YOUR LAPTOPS, and turn off and put away your cell phones, and get out your note-taking materials. Today’s daily quiz will be given at the.
Innovations in Teaching Session # 81 Bill White USC Upstate Building Bridges to Success with Mathematics and Technology.
Keystone Testing What you need to know!. Who? Students in the graduating class of 2017 and later.
“Taking Tests” Session 5 STUDY SKILLS
All My Own Work HSC Course. HSC: All My Own Work Plagiarism.
All My Own Work: Module 3: Plagiarism Source:
Syllabus Highlights CSE 1310 – Introduction to Computers and Programming Vassilis Athitsos University of Texas at Arlington 1.
Academic Honesty and Plagiarism
Module 6 Problems Unit 2 If you tell him the truth now, you will show that you are honest. ask for advice give advice.
© 2010 Pearson Prentice Hall. All rights reserved Chapter Hypothesis Tests Regarding a Parameter 10.
Identities, Contradictions and Conditional Equations.
+ Homework 9.1:1-8, 21 & 22 Reading Guide 9.2 Section 9.1 Significance Tests: The Basics.
Tips for taking the FCAT.
CS 202: Introduction To Object-Oriented Programming
Responsibilities CS 4501 / 6501 Software Testing
Making Sense of Statistical Significance Inference as Decision
GUST 1270 College and Career Planning
Learning Analytics How can I identify and help my struggling students sooner rather than later? How can I see which concepts students struggle with in.
Discrete Structures for Computer Science
Unit 5: Hypothesis Testing
False Assumptions Objective: Students will collaborate using problem solving and critical thinking skills to arrive at a correct description to a vague.
Hypothesis Testing: Preliminaries
Responsibilities CS 4640 Programming Languages for Web Applications
MIS323 Business Telecommunications
Computing in the Classroom and best practices to improve gender diversity equity: Professional development for adjunct faculty Professor Younge’s Experience.
Grade distribution and testing summary
Accommodations Learning Objectives:
Hypothesis Tests for a Population Mean,
Course Overview - Database Systems
P-value Approach for Test Conclusion
Hypothesis Tests One Sample Means
Tips for taking the FCAT.
A TOUR of WileyPLUS.
Testing UW CSE 160 Winter 2016.
Introduction to Econometrics, 5th edition
CS2013 Lecture 1 John Hurley Cal State LA.
Jeff Offutt SWE 637 Software Testing
AP World History Multiple Choice Exam.
EG 1003: Introduction of Engineering and Design
Software Maintenance and Design
Software Usability Analysis and Design
General Tips for Taking a Science Test
Hypothesis Testing A hypothesis is a claim or statement about the value of either a single population parameter or about the values of several population.
Tips for Taking the Spring 2014.
The Rank-Sum Test Section 15.2.
10.2 Notes: Independent and Dependent Events
Online Teaching & Learning Online Instructor
CS2013 Lecture 1 John Hurley Cal State LA.
Preparing for a Major Test
General Tips for Taking a Science Test
Academic Honesty and Plagiarism
Why do we need to take these tests?
Permutations and Combinations
Course policy.
Tips for taking the FCAT.
General Tips for Taking a Science Test
Question 5.
General Tips for Taking a Science Test
Use of Chinese 普通话 English must be used for general conversation.
CS2013 LECTURE 1 John Hurley Cal State LA.
Presentation transcript:

Cheating on electronic exams Use of Data Science

Suppose Students F1 and F2 cheated Student A – 93 average deserves A  B Student B – 85 average deserves B  C Student C – 77 average deserves C  F Student F1 – 99 average deserves F  A Student F2 – 96 average deserves F  A Suppose student F1 and F2 cheated. Deserve F’s but their grades show A and the teacher curves the course grades. For simplicity there are no +/- grades just A,B,C, and F

Cheating prior to a test. If a professor gives exams over and over semester after semester (or year after year), students can Makes copies of the exam. If professor gave correct answers in previous semesters, students save those answers. Have an expert answer the exam as best as possible and post the answered exam on the internet for all who need it. Post the previous exams on the internet with questions answered correctly for future students to have.

Cheating prior to a test - Solutions Professor can give many tests. Some contain questions from previous semesters Some contain only brand new questions. If students do extremely well on the tests where the answer key may be available to students from previous answered exams but do statistically worse on exams where the test questions are brand new (never appeared anywhere), then it would be obvious that the student is cheating.

True and False Exams Knowledge = (Grade – 50) * 2 Knowledge % Number Grade Letter Grade 100 A+ 90 95 A- 84 92 B 72 86 C- 64 82 F 50 75

True Story

Cheating during test During an exam where students can chat with each other during the test (in the classroom or in the bathroom or via cell phones etc.) and all the questions are identical, the students will give the same answers (correct and incorrect) to all questions.

True story Students answered a question with the same exact wrong answer, then crossed off that wrong answer, and gave the same exact new answer, which was also wrong. 28 out of 32 students did this

28 students gave 2 sets of identical wrong answers to the same question.

Detecting same answers The grader would have to notice that the same wrong answer is being given from a group of students. For example, if a grader grades 32 exams in order (1 to 32) and students 3, 16 and 27 submitted identical answers it may not be noticed being mixed in with so many other exams. Sometimes there are several graders for an exam and they would never notice it.

Cheating during online test During an online exam students are taking an exam anywhere in the world and can sit with each other, chat with each other during the test can submit the same answers. If the questions are identical, Data Science software can compare all exam answers of all students in seconds looking for exams where students submit identical (correct and incorrect) answers.

Statistical Significance Ex) if 2 students are asked 2 True or False questions and they both got question 1 correct and question 2 wrong, did they cheat? If you have 2 students who got one correct and one wrong, what is the probability that they would have the same exact answers? Answer 50%

Statistical Significance Ex) if 2 students are asked 14 True or False questions and they both get the same exact 11 questions correct and the same 3 wrong, did they cheat? Assume all questions are equally difficult. What is the probability they would have the same exact answers but didn’t cheat? Answer: 1∗2∗3 12∗13∗14 = 1 364 = 0.002747%

Birthday Paradox In probability theory, the birthday problem or birthday paradox concerns the probability that, in a set of n randomly chosen people, some pair of them will have the same birthday. By the pigeonhole principle, the probability reaches 100% when the number of people reaches 367 (since there are only 366 possible birthdays, including February 29). However, 99.9% probability is reached with just 70 people, and 50% probability with 23 people

Statistical Significance Ex) if 200 students are asked 14 True or False questions and 23 student got 11 questions correct and the same 3 wrong. Of the 23 students, there is a pair of student whose answers matched identically, did those students cheat? What is the probability that they would have the same exact answers? Answer: 50% (See the birthday paradox) Enough to indict but not convict.

Statistical Significance Ex) if 200 students are asked 14 True or False questions and 23 student got the same 11 questions correct and the same 3 wrong. Of the 23 students there is a pair of student whose answers matched identically. Then give those 2 students another 14 question exam and again they both got the same exact 11 correct and 3 wrong. What is the probability they would have the same exact answers on both tests? Answer: same as finding 2 students with matching birthdays and asking both when is your mother’s birthday and the mothers also have matching birthdays. Enough to indict and convict. = 99.73% after indicting.

Probabilities 2 students take a True or False test and get the same exact correct and incorrect answers: Probability of hitting Powerball Jackpot = 3.42229781 E-9 Questions correct incorrect Probability 14 11 3 0.0027472 28 22 6 0.0000075474 48 40 8 3.18008 E-9 39 9 7.33865 E-10 72 69 1.75 E -5 66 7.41 E-10

What can/should a professor do? If 1 student cheats: University policy is the students gets a F in the course Student goes before the ethics board and possible expelled. What is 85% of the class is cheating (deserve F but average is A) Do nothing and curve good student’s grades down? Fail 85% of the class?