Adaptive and Intelligent Web-based Educational Systems
International Journal of Artificial Intelligence in Education
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The use of the Internet for Web-based Intelligent Examination System is an effective solution for mass level of educating and evaluating students in a faster way. However, since it is difficult to verify the identity of the student through a simple user ID and password system on the client side, performance evaluation through test and examination through the Internet is still in its infancy. Further illegal sites such as any emailing sites, tutorials or any other unwanted sites may be used by students to carryout giving answers and difficult to evaluate as distant learning examination. To overcome these main hurdles, a You Are Watching System (YAW) has been designed and developed where a You Are Watching Client Agent (YAWCA) at the client node is used to capture the student's screen and posting at particular intervals during the test. The interval for screen capturing can be either automatic or can be set manually by the You Are Watching Server Agent (YAWSA) for each student/learner. The captured images are stored at the You Are Watching Server (YAWS) and can be used to verify the identity (using Student's ID and combination of Client node IP Address+ MAC Address) of the student taking the test if the need arises. The screen captured at the client node is said to be target image (Ti) and the expected compared legal image available in the YAWS is said to be source image (Si). The Si and Ti image are compared using a well-known general purpose optimization Kernel Direct Discriminant Analysis (KDDA) algorithm. If a particular student is found as illegal screen, then the student will be warned thrice by the YAWSA and later on again illegal screen is encountered, then YASWA can block that student's login and notify to student along with teacher/Expert Agent. The system developed has been successfully used in a Human Knowledge Discovery Agent (HKDA) System. From the beginning to end of the examination, monitoring the student/trainer' conditions on the teacher's/ Expert Agent's screen. If there is a change of power failure or Internet disconnect in the client node then it is also tracked by the YAW Agent.