Experience using "MOSS" to detect cheating on programming assignments

Bowyer, Kevin W.; Hall, Les

doi:10.1109/fie.1999.840376

Cited by 60 publications

(35 citation statements)

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“…This makes sure that students passing the course can write simple programs by themselves. A similar approach has been taken for example by [12]. Of course, this does not catch students who know how to program and are just too lazy to do the work by themselves.…”

Section: Homeworkmentioning

confidence: 99%

A case study in efficient microcontroller education

2005

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Abstract-Undergraduate education typically is characterized by a large number of students. Therefore, courses must be conducted efficiently and should not only focus on conveying the course material, but must also be oriented towards a maximum transfer of knowledge with a minimum amount of invested time on the instructor's part. At the same time, courses should be flexible to accommodate different student needs.In this paper 1 , we identify the needs of a practical course in microcontroller programming with respect to course structure and grading, present our solutions, and discuss our experiences.

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Section: Homeworkmentioning

confidence: 99%

A case study in efficient microcontroller education

2005

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“…The similarity measure is basically the sum of contributions from the terms that are common to the both documents. It contains 1 In our application a document is the same as a program.…”

Section: The Okapi Bm25 Formulamentioning

confidence: 99%

“…Most current plagiarism detection methods are structure based [1,5,10,12]. They seek to represent a program in an abstract way and use various algorithms to find similar structures in programs.…”

Section: Plagiarism Detectionmentioning

confidence: 99%

Evolving similarity functions for code plagiarism detection

Ciesielski

Tahaghoghi

2008

Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation

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Detecting whether computer program code is a student's original work or has been copied from another student or some other source is a major problem for many universities. Detection methods based on the information retrieval concepts of indexing and similarity matching scale well to large collections of files, but require appropriate similarity functions for good performance. We have used particle swarm optimization and genetic programming to evolve similarity functions that are suited to computer program code. Using a training set of plagiarised and non-plagiarised programs we have evolved better parameter values for the previously published Okapi BM25 similarity function. We have then used genetic programming to evolve completely new similarity functions that do not conform to any predetermined structure. We found that the evolved similarity functions outperformed the human developed Okapi BM25 function. We also found that a detection system using the evolved functions was more accurate than the the best code plagiarism detection system in use today, and scales much better to large collections of files. The evolutionary computing techniques have been extremely useful in finding similarity functions that advance the state of the art in code plagiarism detection.

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“…Also, they may insert or delete spaces, comments, and indentation. One of the commendable efforts to overcome the malaise of cheating in programming assignments is the MOSS tool, developed by Professor Aiken of University of California Berkeley [10]. This tool is useful in detecting similarities between the source code files submitted.…”

Section: Detecting Plagiarismmentioning

confidence: 99%

“…Similarities in the range of 80-90 percent are tagged as cases of possible plagiarism. MOSS is regularly being used at some schools [10] achieving good results in reducing plagiarism.…”

Section: Detecting Plagiarismmentioning

confidence: 99%

Distance learning using Web-based multimedia environment

Siddiqui

Zubairi

Proceedings Academia/Industry Working Conference on Research Challenges '00. Next Generation Enterprises: Virtual Organizations

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The "schooling industry" is faced with an inescapable demand to redefine its endeavors in terms of producing learning, rather than providing instructions. We propose a hybrid learning model to attract distance as well as traditional students. One of the major components of this model is the web-based learning and interaction. We review the available avenues of distance learning and offer a model that we prepared as an example of web-based distance learning and training. This model combines video-conferencing, interactive classroom, web-based lectures and traditional instructions in an optimized way to achieve the goal of high quality technical education. The availability of lecture notes and other course material on the web makes it a 24x7 hours classroom. Conducting classes via videoconferencing ensures student participation from all locations and optional interactive conventional teaching strengthens studentteacher relationship and reinforces the concepts in the minds of students. Therefore, we believe this model offers one of the best opportunities in web-based distance learning. This paper presents the hybrid learning model and discusses the opportunities and challenges of the web technologies in the education of Computer Science and Engineering. Through this hybrid model we have already successfully offered several courses in the Computer Science program at SUNY Fredonia with students registering from across the New York State.

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Experience using "MOSS" to detect cheating on programming assignments

Cited by 60 publications

References 1 publication

A case study in efficient microcontroller education

A case study in efficient microcontroller education

Evolving similarity functions for code plagiarism detection

Distance learning using Web-based multimedia environment

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