Supervised and Unsupervised Measurement and Evaluation System for Distance Education

The aim of the project is to realize an electronic exam system compatible with devices such as desktop, laptop, smart phone and tablet with internet connection so that the measurement and evaluation activities of the courses given through distance education can be carried out both supervised and unsupervised. contains. Cloud computing service models were used to achieve the objectives of the project. In the first stage, a physical server for IaaS was determined, the virtualization platform called Hyper-V was installed, virtual machines were created and operating systems were installed. In the second stage, the installation of web servers for the Platform as a Service (PaaS), the installation of scripting languages ​​and the installation of databases were realized. In the third step, for the Software as a Service (SaaS), in the first step, the entities, attributes and relationships needed to create a relational database with MySQL were defined; In the second step, a web interface was developed for teachers with many modules such as creating exams with Bootstrap, jQuery and Codeigniter 4, adding questions and answers, determining time, determining correct answers, tracking correct and incorrect answers, verifying students' identities; In the third step, a mobile interface was developed with Unity 3D for students to complete their exams within the exam period, to verify their identities and to ensure exam security during the exam. The Surveillance Electronic Examination System developed within the scope of the project has been tried to be developed to be able to resist XSS, BFA, SQL Spraying and DDoS attacks, and will be offered to our universities as an option for the supervision of measurement and evaluation activities of the courses given via distance education. In the project, the importance of cyber security, open source and zero graphics at every stage of cloud computing service models was revealed, and new question types for the electronic exam were discovered. Deep learning and encryption algorithms will continue to be developed in order to reduce the workload of teachers and to realize communication security so that the facial, eye and hand-arm movements of the students are automatically examined during the exam.