R. A. Davies

Contract cheating is a major problem in Higher Education because it is very difficult to detect using traditional plagiarism detection tools. Digital forensics techniques are already used in law to determine ownership of documents, and also in criminal cases, where it is not uncommon to hide information and images within an ordinary looking document using steganography techniques. These digital forensic techniques were used to investigate a known case of contract cheating where the contract author has notified the university and the student subsequently confirmed that they had contracted the work out. Microsoft Word documents use a format known as Office Open XML Format, and as such, it is possible to review the editing process of a document. A student submission known to have been contracted out was analysed using the revision identifiers within the document, and a tool was developed to review these identifiers. Using visualisation techniques it is possible to see a pattern of editing that is inconsistent with the pattern seen in an authentic document.

Learning to map words onto their referents is difficult, because there are multiple possibilities for forming these mappings. Cross-situational learning studies have shown that word-object mappings can be learned across multiple situations, as can verbs when presented in a syntactic context. However, these previous studies have presented either nouns or verbs in ambiguous contexts and thus bypass much of the complexity of multiple grammatical categories in speech. We show that noun word learning in adults is robust when objects are moving, and that verbs can also be learned from similar scenes without additional syntactic information. Furthermore, we show that both nouns and verbs can be acquired simultaneously, thus resolving category-level as well as individual word-level ambiguity. However, nouns were learned more quickly than verbs, and we discuss this in light of previous studies investigating the noun advantage in word learning