Why Computer Science Students Cheat
alphadogg writes "Enrollment in undergraduate computer science courses is at an all-time high at colleges nationwide. But this trend that's been hailed by the US tech industry has a dark side: a disproportionate number of students taking these courses are caught cheating. More students are caught cheating in introductory computer science courses than in any other course on campus, thanks to automated tools that professors use to detect unauthorized code reuse, excessive collaboration, and other forbidden ways of completing homework assignments. Computer science professors say their students are not more dishonest than students in other fields; they're just more likely to get caught because software is available to check for plagiarism. 'The truth is that on every campus, a large proportion of the reported cases of academic dishonesty come from introductory computer science courses, and the reason is totally obvious: we use automated tools to detect plagiarism,' explains Professor Ed Lazowska, chair of computer science and engineering at the University of Washington. 'We compare against other student submissions, and we compare against previous student submissions and against code that may be on the Web. These tools flag suspicious cases, which are then manually examined.'"
If someone asked me to (in Java say) print the numbers from 1 to 10, I would probably do something like
for (int i=1;i=10;i++) {
System.out.println(i);
}
So would most other people. Would this flag me as a cheater?
Rhymes that keep their secrets will unfold behind the clouds.There upon the rainbow is the answer to a neverending story
True CS curriculum require a massive amount of critical thinking and other analytical skills. Something the recent graduates of HS are not prepared for. Match that up with the sense of entitlement and you get expected results. Back when I was in CS the dropout rate was around 90%. There were no rent-a-coders and using the web for a resource was a very new thought. So it was write your own damn code or head over to liberal arts...
CS: It is all sink or swim...oh and did I mention there are sharks in that water?
They're cheating just as much in other disciplines, it's just in CS we have a lot of good tools to catch them. Plus, we get a lot of false positives with no defense, so we get to inflate our successful catch statistics.
"Who is the Journal of Quantum Physics going to believe?" --Stephen Hawking
CS is just difficult for some people. We didn't all grow up programming in the basement. I've seen students who finally got their program to "run" by commenting out every line, and sadly, were so clueless that they were quite proud of the fact.
Oddly, it's actually easier now that computers are ubiquitous and going to the CS lab to complete an assignment isn't necessary.
Please do not read this sig. Thank you.
When the most optimum solution to any problem is frequently the same code, and the same exact question gets asked every single time for that course, is it cheating or is it just optimization?
I use code libraries and recode old stuff to new uses every day - is that cheating or just efficient coding?
-- Tigger warning: This post may contain tiggers! --
Enrollment in undergraduate computer science courses is at an all-time high at colleges nationwide. But this trend that's been hailed by the US tech industry has a dark side: a disproportionate number of students taking these courses are caught cheating. More students are caught cheating in introductory computer science courses than in any other course on campus, thanks to automated tools that professors use to detect unauthorized code reuse, excessive collaboration and other forbidden ways of completing homework assignments. Computer science professors say their students are not more dishonest than students in other fields; they're just more likely to get caught because software is available to check for plagiarism. 'The truth is that on every campus, a large proportion of the reported cases of academic dishonesty come from introductory computer science courses, and the reason is totally obvious: we use automated tools to detect plagiarism,' explains Professor Ed Lazowska, chair of computer science and engineering at the University of Washington. 'We compare against other student submissions, and we compare against previous student submissions and against code that may be on the Web. These tools flag suspicious cases, which are then manually examined.'"
the preceding post was not spell checked... suck it.
Is this not the goal of code re-use? I mean, if there is no copyright violations, that's what ppl should do... Schools are always trying to make you implement retarded things anyway...
You re-use code to avoid "reinventing the wheel." The intent is to 1) save time developing what already exists, and 2) take advantage of all the debugging that was already done for you.
The goal of getting a CS degree is to understand what the fuck a wheel is. Copying from expert sex change is not going to make you a good computer scientist; it won't even make you a good software developer.
DATABASE WOW WOW
For the same reason Psychology students cheat.
For the same reason Math students cheat.
For the same reason English students cheat.
For the same reason Economics students cheat.
For the same reason Biology students cheat.
You get the idea...
If you had taken more than one CS class, you would have understood that it's not about Pascal -- it's about what you're writing WITH pascal.
Did you really think that say, trees in pascal are completely different from trees in C?
Do daemons dream of electric sleep()?
I used to cheat in college, and all my friends do. I don't cheat anymore. My secret? I switched to a major I like. For the most part, I enjoy and look forward to assignments, and haven't cheated on any since changing majors. For me the subject is CS, but I'm sure that most people could find something they like well enough to look forward to assignments.
When I ran a tutorial group for fellow students who were taking the Imperative Programming module, I can guarantee that there was no plagiarism nor cheating going on. I helped them learn coursework and each of their assignments were done by them and I only intervened if they had made a mistake. They experienced some frustration because I would not give them the solution: I had them work through it themselves and figure out their own mistake. Only one time, I was concerned that they really were considering throwing me out through the 3rd floor window.
Only after they had completed their assignments, would I show them how I would complete the same assignment.
I think a difference was that each of them really did want to learn the material but many students today taking these courses just want a job and have no personal interest in the topic.
No sig. Move along - nothing to see here.
If you are one of those who cheat in an Intro. to CS class, then chances are pretty good that you won't make it too far with your programming aspirations. Just don't complain when the college keeps taking your tuition money for the same course!
That's taken out of context. In context, it carries a clear implication of "manually examined for the specific purpose of confirming or denying plagiarism", on top of whatever manual examination takes place for the purpose of confirming or denying that the code is any good.
The professors say:
"Many of our students like to collaborate, but at what point are you copying?" Pitt asks. "The course policy needs to be really clear. Some courses will allow you to work in pairs but not in triples. If you don't follow that policy, we would call that cheating."
The industry says:
"In the real world, people write code in teams where they are given pieces of a project to work on," Foote says. "The academic world should be mapping onto the real worldThey shouldn't be handing out assignments where people are coding on their own."
Ladies and Germs:
We see here where academia isn't keeping up with industry. I can't tell you how many times I've seen where jobs descriptions demand "team players" and "the ability to work in teams".
And I'd argue that academia promotes the prima donna. Someone who was a 4.0 CS student is going to have the impression that he's better than everyone else (maybe true) and that everyone else should get out of his way and let him do it all (not good). I worked with the latter. He was a GA Tech grad and he was rather brilliant. Unfortunately, with all his smarts he was a liability to the team. He couldn't possibly do everything himself (2 million+ line project due in 6 months) and he caused a lot of problems to the point where he was slowing the others down even more.
The geniuses need to be off on their own developing - whatever - that's what we had to do with this guy. He was still miserable, though.
RIP America
July 4, 1776 - September 11, 2001
One of my lecturers decided to test our university's plagarism software as it was coming back with a unusually high number of false positives. As soon as he submitted a sample he wrote it came back positive for plagarism even though he answered a question just using the knowledge he had gained over his 20+ years experience in the industry. He and many other people in the department put hardly any weight on the results that pop up. His issue with using it is that the content of the course changes so little that with every iteration of students passing through the school its more likely to have incorrect results as its saves a copy of the submission to add to its database. I myself have had work come back as plagarised beacuse there arte only so many ways to write the same damn sentance.
How does a student defend against a false positive in this environment?
It's neither new nor subtle; it's why expertsexchange now hyphenates their URL: experts-exchange.com.
DATABASE WOW WOW
Our big brains are deeply tied into our social matrix. Our value systems, our ethics and our morals, echo within our social system and inform our actions. Context informs values and actions. If disciplines like the hard sciences advertise their wares as facts and require students approach their studies with a "just the facts" attitude then that context will lend itself to a cut and past approach to homework that will more readily accommodate obvious borrowings from other students. If you're in an arts programme and your task is to display imagination and your core inner values in a medium and venue that accentuates individuality and creativeness then, ceteris paribus, it's more likely that context will not only encourage innovative output in homework but also encourage a more guarded attitude toward a peer borrowing your ideas. If you're a C.S. student and the world around you is rife with computer hacks and the news about those hacks inform you that you should be able to not only understand them but, possibly, be able to come up with something similar or better than to a considerable extent the ethics that inform your homework production will reflect the same ethics that inform the hacker culture.
If as educators you advertise your discipline as an empirical activity scrutinized by peer review then undergraduates just trying to fill out their curriculum with a few tasty bits for their upcoming resume are likely to think, well it's just facts, cut and paste. Let it wash out in the exams.
ideopath @ play
While it is almost certainly the case that comp sci assignments face the best algorithmic scrutiny(CS professors, shockingly enough, are probably more likely and better able than modern literature professors to subject them to such), there are similar algorithmic tools(albeit generally 3rd party contracted stuff) being used against writing assignments at many schools.
.com millionaire(or even just a workaday java monkey) dancing in your head, you'll be thinking "why do I need to know this crap about NP complete Turning machines and O complexity and stuff? I just want to write Facebook 2.0!". People smarter and/or wiser than you may well suggest that you are wrong; but you will still be tempted to cheat your way through the "irrelevant" material.
I suspect that there are other factors at work, as well. I'll put out the following conjectures(whether you would prefer to say that I "reasoned from first principles" or "pulled them out of my ass" is at you discretion):
1. Intro level courses, in all areas of study, will have higher rates of cheating than later courses. Two basic reasons: Intro level courses are much more likely to be mandated under "core curriculum" or "breadth requirements" or whatever the institution's term for the concept is. This makes them much more likely to have a substantial population of students who are deeply disinterested and/or very poorly suited to the subject. People who don't care, or who can't hack it, are the ones with the strongest motives to cheat.
2. The level of cheating, broadly speaking, will reflect how profitable the area of study is. Other than the accolades of your tiny group of peers, the rewards for being a world-renowned expert in late-middle Assyrian civic structures are basically fuck-all. If you work hard for a decade+, and get lucky, you might get a steady but not-especially lucrative tenured position, maybe a few advances from books, and that's about the best case. Therefore, only people with a genuine enthusiasm for the subject will bother to take more than "Intro to World History 101". There won't be zero cheating(putting your name on the output of your toiling grad students, for instance, is practically a best practice); but there will be less. Things like law, medicine, business, CS(more before the bubble burst than now; but still some) offer relatively good monetary rewards, and so are more likely to attract people who have comparatively little interesting the the subject and just want the diploma. You will therefore expect higher levels of cheating.
3. The level of cheating, broadly speaking, will reflect the student body's belief about "how relevant" the academic material is to the goals that they seek(this is partly covered by #2; but goes more broadly than that). If you, say, want to make it as an English professor, or in Real Serious Math, cheating is largely counterproductive. You learn to write by writing, so if you skip much of the writing, you won't know how to write at the end of the course. You gain facility in math by doing, so you won't be facile if you cheat rather than work. If, though, you are sitting through CS, with visions of being a
I suspect that Intro CS sits at the intersection of the worst of both worlds. On the one hand, since it's an intro course, you get all the people who aren't really cut out for it learning the hard way that programming isn't as easy as playing video games, even though they both involve computers, who then freak out and start cheating(either to pass at all, if they are really hopeless, or to pass without cutting into their drinking time too much). On the other hand, you have all the people who are seeking Technology riches, and don't want to hear this ivory-tower-crap, they just want to write some programs and get a job.
wrong. they may still look at the code for grading. but catching cheating is a much harder problem: in terms of complexity, grading is O(n) while verifying for similar submissions is O(n^2) or worse. also, in big classes you may have multiple TA, each grading a subset of the submissions. hence may be impossible for them to find such similarities.
weinersmith
I'm European-trained, but working as a visiting professor in the USA. I hear a lot of people here throw out the "sense of entitlement" phrase, and it's almost always when talking of today's students.
Based on my experiences here and in Europe, I don't think that they exhibit that at all. Most of the students I work with put forth much effort, and don't expect anything other than to be taught the material properly, helped when needed, and graded fairly.
The only people I see with a "sense of entitlement" are the Boomers (I think that's the American term for people who are 50 to 65), and Indian students.
The Boomers always have the most absurd expectations, from getting the best parking spaces (even though they've been at the college for less time than even I have) to getting college-funded coffee makers in their offices to getting raises several times a year, while also getting more vacation time. The unionized folks are by far the worst. Even though some of them are merely janitors, with no special training or education beyond high school, they expect a wage and benefits in excess of those that we get as professors.
The Indians, and by Indians I mean the children of wealthy upper-class families in India, are perhaps the worst. Back in India they got everything and anything they wanted, I suppose. And they were used to treating others as being "lesser", due to their social classes. They bring this with them to America when they come to study here.
The many examples here of array declarations or variable initializations are not sufficient to get you pegged as a cheater. But when you get multi-line programs of dozens of lines that are precisely the same, even including comments, THAT will ring alarm bells. I don't think anyone writing a simple 'Hello, world' program that is exactly like mine will get called out. If you turn in a hundred line program full of regression equations to plot the Fry Readability Index in a matrix graph that is precisely like mine? Busted!
How about a moderation of -1 pedantic.
So, back in the 'day (1989 or so), I was grading for the first data structures course for computer science majors, and wrote a very simple program that stripped comments out of programs and then counted the number of semi-colons, colons, parentheses and so in in each program's source code, then sorted them. When two programs were sufficiently close, I compared them side-by-side and came up with more obvious cheaters than I was expecting. (Including one from two roommates who happened to be alphabetically next to each other.) If those programs have advanced *at all* in 20 years, they're now comparing parse-trees.
The problem is that computer programs have structure, and it's impossible to copy somebody else's work and then 'only' replace the underlying structure. Instead, cheaters reorder their code, add a bunch of comments, rename variables, change indentation and so on. That sort of thing doesn't change the structure, so it's easy to catch.
And, yes, this method only works on sufficiently large programs -- there are only a handful of ways of doing "Hello World." But, nobody cheats on "Hello World."
This is somewhat of a sad reminder of the position CS departments are in. You are employed as a coder. Great. A significant percentage of CS grads are "coders" as well, but coding doesn't require more than an intro or two's worth of classes and a bit of experience to teach. The bigger portion of computer science goes into more advanced topics - networking, software engineering, UI, graphics, graph theory, algorithms, compilers, NLP, etc. - that you wouldn't really need for coding, but the knowledge of which is required to really understand what a computer is and does, why it does it, and how you can better use it.
I've seen this exact same article, at least parts of it word-for-word, around before... no joke.
No one is saying that almost every major makes "Intro to computing" compulsory now. Why is it that we are surprised? The more you require people that aren't interested, the more they'll cheat. The more widely compulsory you make these courses, the more dumbed-down they are; the kids that are good are going to be lazy on purpose. Why not? Finally, you have tools to check that your History prof doesn't. Three very compelling reasons why there would be more cheating, not even taking into account the ease at which it is done. Yet, when these same kids get out in the real world, we call them EXAMPLES and REPURPOSING, and we tell them to COPY things out of books and sites that are KNOWN TO WORK. In reality, there's not enough cheating going on.
Cheating is usually easy to spot. Because not only do they use the same algorithms and the same sequence of code, but also the same spacing. For example:
x = x +1;
printf(" %d", x);
Notice no space between +1, and 2 spaces between " , x". When you see this combined with the same essential algorithms. A high degree of similarity in the strings and in the comments.. the user has copied the code.
Most students don't do a great job of covering it up.
The article also mentions foreign students as being more likely to cheat. Note that cheating is fairly commonplace in high schools and even in Universities in many countries. Not all countries penalize students very harshly when caught. In some cases they only get points deducted or get an F in the assignment. So a culture of cheating emerges.
(I know.. I'm an instructor in South America.. :) )
That's why you use a token analyzer. You think CS profs do this BY HAND? They run all their students' source through a token analyzer looking for matching chunks. It's not hard.
With the first link, the chain is forged.
It has always bothered me why CS assignments in some classes are so strangely off from what is supposedly being learned. Often there is some trick and the solution can be found only by not being deceived by the weaselly wording of the assignment, nor by being misled by the current subject matter in the class.
If you are already a successful programmer, these CS projects seem especially surreal given that "cheating" is the label given for all those things you would do in real life to learn and solve, including collaboration and seeking example code.
As an assignment in a computer ethics class I gave a talk on how the internet was going to bring college level CS education, especially self-education, to global masses. (Some universities even put their class materials online and available to everyone.) The idea was that once these useful information and materials got out there, they become part of a more advanced world culture.
During Q and A the teacher criticized that I didn't account for how hard it was to come up with new problems year after year to test and grade CS students, and that putting everything online made this only more difficult. The teacher was actually advocating holding information back to make it easier to rate students.
I answered by saying that there are two competing motivations for teaching methods in university classes: one is to enlighten, feed and grow minds, especially all the minds that paid through the nose for the service; the other was to "weed out," and to grade--like putting the class into a series of sifting screens--the course objects getting removed first and labeled low grade, and the finest ones coming out the end and getting labeled "academic excellence." I asked how much the former was to be sacrificed for the latter.
Didn't finish that class.
I'm paying £3,000 a year for this degree! I don't expect to be told to read something in a book!
I am TheRaven on Soylent News
Leaving aside the usual nonsense that kids today are worthless and can't do anything right, the problem is more complicated than that. Many universities have stepped away from the idea of going to college as a way to get a well-rounded education and have positioned themselves as places to get a piece of paper that will let you get a good job. Combine this with the increasing number of positions requiring a college degree, and you get a lot more people more interested in just getting through and getting that piece of paper as quickly as possible than they are with actually learning anything.
College is quickly becoming like high school: It's a base requirement that everyone has to go through if they don't want to spend the rest of their lives picking lettuce, so people are going to go and try and get through it as quickly and painlessly as possible. There have always been people who do this of course, and cheating is certainly not a new problem, but the above-mentioned issues may make it more prevalent than it once was.
Remember, though, that our generation cheated as well. Every college in the country has an honor code, and many of them have been in place for decades (or longer). These codes wouldn't exist if no one was cheating before.
Undergrad diploma is the new HS diploma because companies can't depend on people having a HS diploma to mean that they are capable of critical thinking.
That's what happens when you give them out willy-nilly (big thanks to the folks that implemented no-child-left-behind, and the liberals that won't let us fail students; but both of these are passing the buck-- the real problem is the parents not engaging in their childrens' lives.)
So now an M.S. is the new B.S., but this whole education thing is approaching unsustainability due to the exorbitant cost, both fiscally time required. Quick example, my MicroEcon test that I aced today had 20 questions, took me 20 minutes, and if they gave me all the slides up front I could have learned the entire course in 2 days or less of studying. But this amount of work was spread out over an entire semester. Is that economically feasible? No, we do it for the paper that gets us a well-paying job. With the cost of post-secondary education running away from us, the supply of students getting degrees from legit schools (aka not DeVry, ITT Tech, or your local community college that passes everyone for the same reason the high school does-- because they need the money) will dwindle. Eventually the cost of employing those with legit degrees will be so high that it will be economically feasible to consider employing someone straight out of highschool and just train them yourself. The two requirements for this to work are
1). student is smart enough to teach self things if you gave him a book and the internet
2). student is either a). self-disciplined, or b). can be managed to do work.
You can devise a test for 1), and if you just hire people you know and trust (and have people you know and trust who can refer you to people that they know and trust) then 2) is solved as well.
The point I'm making is I could have learned all my circuits stuff a lot faster with proper documentation and material written down than it took me in the classroom. Further, frankly I didn't need chemistry and Calculus I-III & DiffEq to help me design circuits or code. And I certainly didn't need a semester each to learn the applicable parts. A much more efficient solution (and it's much more motivating) is to worry about that stuff when you need it-- when you run into the term "eigenvectors and eigenvalues" while learning on the job about applying neural networks to power systems, you go teach yourself the linear algebra. It's much more motivating when you're stuck at the job for 8 hours, can't surf the web all day, and the most entertaining thing you can do (and it's actually quite entertaining) is learning things. Even better, it's always need-based, never an arbitrary "you have to learn this so that y