| Course Description: | Contract cheating refers to a significant issue where students engage in the practice of purchasing assignments from external sources. It poses a challenge for educators, jeopardizing academic integrity. The objective of this course is to discuss the root causes of contract cheating and possible mitigation techniques. We will illustrate how AI can be used to mitigate the impacts of contract cheating. Specifically, we will demonstrate AI-based techniques to support the learning process of students but also to detect contract cheating. |
| Course Aim: | Addressing contract cheating through root cause analysis, mitigation techniques, and leveraging AI for enhanced learning and detection. |
| Anticipated Outcomes | - Understand the reasons for contract cheating. - Identify mitigation techniques for contract cheating. - Use AI to detect and prevent contract cheating. |
| Trainer Bio | Dr. Ahmad Samer Wazan is an Associate Professor at Zayed University, where he conducts research in trust management, access control, security, and artificial intelligence. He led a project from 2007 to 2011 that defined a new trust model for the X.509 standard, which was subsequently included in the 2016 edition of the standard. Wazan also participated in developing the first verifiable credential system with researchers from the UK and France. Recently, he proposed a new command called "sr" (switch role) to replace the command "sudo" in a Linux environment. Dr. Wazan previously worked with the founder of souq.com as a web developer and security analyst from 2003 to 2006 and was awarded the prize for the best employee in 2004. He is currently on secondment from Toulouse University to Zayed University |