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Research Article | Open Access |

Web-Based COOP Training System to Enhance the Quality, Accuracy and Usability Access

Author 1: Amr Jadi Author 2: Eesa A. Alsolami
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 9, No. 1 · Published 2018

DOI: https://doi.org/10.14569/IJACSA.2018.090115

Abstract

In this paper, a web based COOP training system is demonstrated to ensure usable process of task interactions between various participants. In the existing method various issues related with the paper work, communication gap, etc. raised serious issues between the colleges and industries while implementing the COOP training programs. The primary data was collected by conducting interviews with the supervisors and also by taking the opinion of students to improve the proposed COOP system. The proposed system is capable of reducing the complexity of operations to a greater extent by avoiding overlapping of the information, reducing the communication gap and by increasing the accuracy of the information. The outcomes of the proposed system proved to be very fruitful in terms of results obtained from the point of view of all the participants in the COOP system. The performance, accuracy, quality and assessment of the student reports found to be improved to deliver excellent results.

Keywords

How to Cite this Article

Jadi, A., & Alsolami, E. A. (2018). Web-Based COOP Training System to Enhance the Quality, Accuracy and Usability Access. International Journal of Advanced Computer Science and Applications, 9(1). https://doi.org/10.14569/IJACSA.2018.090115

Jadi, Amr, and Eesa A. Alsolami. "Web-Based COOP Training System to Enhance the Quality, Accuracy and Usability Access." International Journal of Advanced Computer Science and Applications, vol. 9, no. 1, 2018, https://doi.org/10.14569/IJACSA.2018.090115.

@article{Jadi2018,
  title     = {Web-Based COOP Training System to Enhance the Quality, Accuracy and Usability Access},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {9},
  number    = {1},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Amr Jadi and Eesa A. Alsolami},
  doi       = {10.14569/IJACSA.2018.090115},
  url       = {https://doi.org/10.14569/IJACSA.2018.090115}
}

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