Assist Prof Dr.Weam Alghabban,University of Tabuk,Saudi Arabia
Prof. Dr. Weam Alghabban is an esteemed academic at the University of Tabuk in Saudi Arabia, where she serves as a professor. Her research expertise lies in [specific field, if known, e.g., “environmental science,” “engineering,” etc.], contributing significantly to both national and international discourse through her scholarly work. Dr. Alghabban is recognized for her commitment to advancing knowledge and fostering academic excellence, making her a respected figure in her field. Her work not only enriches the academic
Profile:
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Academic and Professional Background:
Dr. Weam Gaoud Alghabban is an Assistant Professor at the Department of Computer Science, University of Tabuk, Saudi Arabia. She holds a Ph.D. in Information Technology (Human-Computer Interaction) from the University of Birmingham, UK, and both a Master’s and Bachelor’s degree from King Abdulaziz University, Saudi Arabia. Her research focuses on Human-Computer Interaction, adaptive e-learning, dyslexia, usability, and mobile learning. Dr. Alghabban’s work aims to improve educational systems for learners with dyslexia through adaptive technologies.
Research and Innovations:
Completed Projects:,Adaptation of e-learning systems for dyslexic learners, with publications detailing empirical evaluations and recommendations for future work.,Ongoing Projects:,Exploring e-learning systems for dyslexia with a paper currently under review in a high-impact journal.,Adapting the System Usability Scale (SUS) for children.
Contributions:
Dr. Alghabban’s research significantly contributes to understanding how adaptive learning systems can better support dyslexic learners. By examining the effectiveness of adaptations based on dyslexia type and reading skill level, her work has led to the development of practical strategies for improving e-learning systems. Her empirical evaluations and recommendations highlight the critical role of personalization in enhancing educational outcomes for students with dyslexia, advancing both theoretical and applied knowledge in adaptive e-learning and usability.
publications:
- Mobile cloud computing: An effective multimodal interface tool for students with dyslexia
- WG Alghabban, RM Salama, AH Altalhi
- Computers in Human Behavior, 2017
- This paper discusses how mobile cloud computing can serve as an effective multimodal interface for students with dyslexia, likely exploring different modes of interaction that can aid in learning.
- Cloud computing: empirical studies in higher education
- A Elgelany, WG Alghabban
- International Journal of Advanced Computer Science and Applications, 2017
- This study reviews empirical research on the application of cloud computing in higher education settings.
- Adapting e-learning to dyslexia type: an experimental study to evaluate learning gain and perceived usability
- WG Alghabban, R Hendley
- International Conference on Human-Computer Interaction, 2020
- This experimental study evaluates how adapting e-learning platforms to different dyslexia types impacts learning gains and perceived usability.
- The Impact of Adaptation Based on Students’ Dyslexia Type: An Empirical Evaluation of Students’ Satisfaction
- WG Alghabban, R Hendley
- Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation, and Personalization, 2020
- This paper empirically assesses how tailoring educational tools to specific types of dyslexia affects student satisfaction.
- M-learning: Effective framework for dyslexic students based on mobile cloud computing technology
- WG Alghabban, RM Salama, A Altalhi
- International Journal of Advanced Research in Computer and Communication Engineering, 2016
- Discusses a framework for mobile learning (m-learning) designed specifically for dyslexic students using mobile cloud computing.
- Perceived level of usability as an evaluation metric in adaptive e-learning: a case study with dyslexic children
- WG Alghabban, R Hendley
- SN Computer Science, 2022
- This paper uses perceived usability as a metric to evaluate adaptive e-learning systems for dyslexic children.
- Mobile cloud computing and M-learning: state of art
- WG Alghabban, RM Salama, A Altalhi
- PONTE International Journal of Science and Research, 2016
- Provides a state-of-the-art overview of mobile cloud computing and its applications in mobile learning.
- Understanding the impact on learners’ reading performance and behaviour of matching e-learning material to dyslexia type and reading skill level
- WG Alghabban, HM Al-Dawsari, R Hendley
- International Conference On Human-Computer Interaction, 2021
- Investigates how aligning e-learning materials with dyslexia type and reading skill level affects reading performance and learner behavior.
- Student Perception of Usability: A Metric for Evaluating the Benefit When Adapting e-Learning to the Needs of Students with Dyslexia
- WG Alghabban, RJ Hendley
- CSEDU (1), 2021
- Explores student perceptions of usability as a measure to evaluate the effectiveness of adapted e-learning systems for dyslexic students.
- Adaptive e-learning and dyslexia: An empirical evaluation and recommendations for future work
- WG Alghabban, R Hendley
- Interacting with Computers, 2023
- This paper provides an empirical evaluation of adaptive e-learning systems for dyslexic students and suggests future research directions.