This research comprises three interconnected studies, all anchored in the usability evaluation of mobile education applications, with guidance from the well-established Jakob Nielsen factors to heuristic evaluation. The first study delves into the analysis of mobile application reviews using a deep learning model and machine learning to unearth usability issues. In the second study, we examine the usability of two prominent educational applications, Canvas and Blackboard, integrated within Prince Sattam bin Abdulaziz University (PSAU) and at the University of North Texas (UNT) from a student-oriented perspective. Through the synthesis of findings and insights from antecedent studies, we seek to augment the current body of knowledge and offer realistic recommendations for the enhancement of mobile education application usability. Our findings have the potential to improve the efficacy of platforms, offering developers a roadmap to refine application features and optimize the learning experience for both educators and learners.
| Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc2356134 |
| Date | 07 1900 |
| Creators | Algamdi, Shabbab Ali S |
| Contributors | Ludi, Stephanie, Albert, Mark, Do, Hyunsook, Hawamdeh, Suliman |
| Publisher | University of North Texas |
| Source Sets | University of North Texas |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
| Format | Text |
| Rights | Public, Algamdi, Shabbab Ali S, Copyright, Copyright is held by the author, unless otherwise noted. All rights Reserved. |
Page generated in 0.0019 seconds