Intelligent Framework for Enhancing the Quality of Online Exams based on Students’ Personalization

In education sector, personalization is an evolutionary term that gained a high attention due to its effectiveness in raising the enterprise competence level. This research aims at proposing a novel model for effective smart testing, which considers the student’s Facebook activities in determining the students’ personality and constructing his suitable exam. The aim of this examination perspectives to ensure the reliable student evaluation according to his gained knowledge to ensure that no other factor interferes which may negatively affect the reliable evaluation. The research also applies text analytics techniques to ensure the exam balance. The proposed model has been applied and evaluated with professors’ percentage equal to 96.5 % and successfully reach students satisfaction percentage with average equal to 96.63%.

@article{khedr2022,
  title     = {Intelligent Framework for Enhancing the Quality of Online Exams based on Students’ Personalization},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {13},
  number    = {7},
  year      = {2022},
  publisher = {The Science and Information Organization},
  author    = {Ayman E. khedr and Abdulwahab Ali Almazroi and Amira M. Idrees},
  doi       = {10.14569/IJACSA.2022.0130772},
  url       = {https://doi.org/10.14569/IJACSA.2022.0130772}
}