Mobile cloud computing: An effective multimodal interface tool for students with dyslexia
The explosive growth of mobile technology and developments in cloud computing have provided new and powerful possibilities for mobile learning (m-learning). M-learning, which is an influential trend in the educational process, promotes learning accessibility and flexibility for a substantial and val...
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Published in: | Computers in human behavior Vol. 75; pp. 160 - 166 |
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01-10-2017
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Abstract | The explosive growth of mobile technology and developments in cloud computing have provided new and powerful possibilities for mobile learning (m-learning). M-learning, which is an influential trend in the educational process, promotes learning accessibility and flexibility for a substantial and valuable segment of society: students with dyslexia. Although there is a substantial amount of research that discusses the use of m-learning by students with dyslexia, there are many gaps that must still be addressed. One substantial issue pertains to the lack of an effective, multimodal, human–computer user interface m-learning tool that combines different input and output modes based on each student's learning style. In this paper, the authors develop a novel, interactive, multimodal interfaced, cloud-based m-learning tool with which students can naturally interact based on their preferred learning styles. This multimodal interface tool enhances the learning capabilities of students with dyslexia by almost 30% by customizing their multimodal functionality to meet their learning needs.
•A multimodal, cloud-based m-learning tool for promoting dyslexia is proposed.•The tool relies on standard educational strategies, which are implemented in SA.•Customizing the multimodal functionality to meet dyslexic students' learning needs.•Dyslexic students' Learning capabilities are enhanced by almost 30% using the tool. |
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AbstractList | The explosive growth of mobile technology and developments in cloud computing have provided new and powerful possibilities for mobile learning (m-learning). M-learning, which is an influential trend in the educational process, promotes learning accessibility and flexibility for a substantial and valuable segment of society: students with dyslexia. Although there is a substantial amount of research that discusses the use of m-learning by students with dyslexia, there are many gaps that must still be addressed. One substantial issue pertains to the lack of an effective, multimodal, human–computer user interface m-learning tool that combines different input and output modes based on each student's learning style. In this paper, the authors develop a novel, interactive, multimodal interfaced, cloud-based m-learning tool with which students can naturally interact based on their preferred learning styles. This multimodal interface tool enhances the learning capabilities of students with dyslexia by almost 30% by customizing their multimodal functionality to meet their learning needs.
•A multimodal, cloud-based m-learning tool for promoting dyslexia is proposed.•The tool relies on standard educational strategies, which are implemented in SA.•Customizing the multimodal functionality to meet dyslexic students' learning needs.•Dyslexic students' Learning capabilities are enhanced by almost 30% using the tool. The explosive growth of mobile technology and developments in cloud computing have provided new and powerful possibilities for mobile learning (m-learning). M-learning, which is an influential trend in the educational process, promotes learning accessibility and flexibility for a substantial and valuable segment of society: students with dyslexia. Although there is a substantial amount of research that discusses the use of m-learning by students with dyslexia, there are many gaps that must still be addressed. One substantial issue pertains to the lack of an effective, multimodal, human-computer user interface m-learning tool that combines different input and output modes based on each student's learning style. In this paper, the authors develop a novel, interactive, multimodal interfaced, cloud-based m-learning tool with which students can naturally interact based on their preferred learning styles. This multimodal interface tool enhances the learning capabilities of students with dyslexia by almost 30% by customizing their multimodal functionality to meet their learning needs. |
Author | Salama, Reda M. Altalhi, Abdulrahman H. Alghabban, Weam G. |
Author_xml | – sequence: 1 givenname: Weam G. orcidid: 0000-0003-0857-1548 surname: Alghabban fullname: Alghabban, Weam G. email: walghabban@ut.edu.sa organization: Computer Science Department, Dhiba University College, University of Tabuk, Saudi Arabia – sequence: 2 givenname: Reda M. surname: Salama fullname: Salama, Reda M. email: rkhalifa@kau.edu.sa organization: Information Technology Department, Faculty of Computing and Information Technology, King Abdulaziz University, Saudi Arabia – sequence: 3 givenname: Abdulrahman H. orcidid: 0000-0003-2335-1164 surname: Altalhi fullname: Altalhi, Abdulrahman H. email: ahaltalhi@kau.edu.sa organization: Information Technology Department, Faculty of Computing and Information Technology, King Abdulaziz University, Saudi Arabia |
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Keywords | Dyslexia Mobile application Multimodal Mobile cloud computing (MCC) M-learning |
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SubjectTerms | Cloud computing Customization Distance learning Dyslexia Human-computer interaction M-learning Mobile application Mobile cloud computing (MCC) Mobile computing Multimodal Online instruction Software Students Teaching methods User interface |
Title | Mobile cloud computing: An effective multimodal interface tool for students with dyslexia |
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