M-Learning: Effective Framework for Dyslexic Students Based on Mobile Cloud Computing Technology

نویسندگان

  • Weam Gaoud Alghabban
  • Reda Mohamed Salama
  • Abdulrahman Altalhi
چکیده

As mobile technologies and dissemination become more widespread, mobile learning (m-learning) has become a dominant, powerful approach to educate, teach, and train the world. M-learning has a significant effect on how people, especially dyslexic students, learn. Although there is a good amount of research covering m-learning for dyslexia, there are many gaps that still need to be addressed. One considerable issue is the lack ofan effective mlearning framework that meets the real needs of dyslexic students based on their cultural backgrounds. In this paper, the authors develop a cloud-based m-learning framework architecture and highlight the guidelines of the effective solution that should be met in the design phase. The proposed framework architecture enhances students’ personal and learning abilities by providing adaptability to meet their learning needs.

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تاریخ انتشار 2016