Teachers deal with plagiarism on a regular basis, so they try to prevent and detect
plagiarism, a task that is complicated by the large size of some classes. Students who cheat …

Source code plagiarism and collusion are continuing problems in academia. To deal with
these issues, lecturers are often aided by automated code similarity detection techniques or …

Detection of plagiarism in students' source codes in college-level programming courses is
an important topic for instructors and institutions that seek to pursue project-based learning …

Not many efficient similarity detectors are employed in practice to maintain academic
integrity. Perhaps it is because they lack intuitive reports for investigation, they only have a …

When student programs are compared for similarity as a step in the detection of academic
misconduct, certain segments of code are always sure to be similar but are no cause for …

Negative stereotypes persist in computing, and align poorly with research into the
motivations of female students. In particular, female students are more inclined to want to …

Plagiarism is a common concern for coursework in many situations, particularly where
electronic solutions can be provided eg computer programs, and leads to unreliability of …

Several computing courses allow students to choose which programming language they
want to use for completing a programming task. This can lead to cross-language code …

It is well documented that some students either work together on programming assessments
when required to work individually (collusion) or make unauthorised use of existing code …

When comparing student programs to check for evidence of plagiarism or collusion, the goal
is to identify code segments that are common to two or more programs. Yet some code …