![]() For unsupported file types, the SafeAssign Originality Report will omit a matching score. SafeAssign will only process and create Originality Reports for attachments that match the above file types. However, Learn Assignment's Inline Grading feature only supports the following subset of file types. zip (processing files that match any of these file types within the. SafeAssign is only able to support file types that are convertible to plain text including the following file types. SafeAssign will only process and create Originality Reports for attachments with compatible file types. Global Reference Database: Contains papers that were volunteered by students from Blackboard client institutions to help prevent cross-institutional plagiarismĪssignments accept every possible file type as an attachment to a submission.Institutional document archives: Contains all papers submitted to SafeAssign by users in their respective institutions.ProQuest ABI/Inform database: More than 1,100 publication titles and about 2.6 million articles from 1990's to present time, updated weekly (exclusive access).Internet: Comprehensive index of documents available for public access on the Internet.Assignments submitted to the SafeAssign database are compared with several different databases, including the following: The SafeAssign feature is based on a unique text matching algorithm capable of detecting both exact and inexact matches between a submitted paper and a particular source material. Blackboard currently reports as much as 24-36 hours or more may elapse before report results are returned. Please DO NOT have students resubmit papers as this pushes them to the back of the queue. ![]() ![]() Note: Delays in SafeAssign occur throughout the semester based on high demand. The SafeAssign feature is effective as both a deterrent and an educational tool. SafeAssign can also be used to help students identify how to properly attribute sources rather than paraphrase without giving credit to the original source. SafeAssign is a plagiarism prevention tool that detects unoriginal content in students' papers by identifying areas of overlap between submitted assignments and existing works. ![]()
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. Archives
December 2022
Categories |