Requirements model of collaborative mobile learning (CML)

• Main Author: Flayyih, Omar Hamid
• Format: Thesis
• Language: English; English
• Published: 2016
• Subjects: LB1025-1050.75 Teaching (Principles and practice); TK6570 Mobile Communication System.
• Online Access: http://etd.uum.edu.my/6546/

Mobile technology is one of innovative tools used to facilitate learning. However, the existing studies related to mobile learning (M-learning) have not deeply combined relevant learning approaches for giving a new way that benefits the learning sphere. Accordingly, many researchers believe that there is a need to incorporate pedagogical and instructive models into M-learning technology, especially for supports of team-learning. At the same time, many investigations prove that designers faced challenges in designing systems that involve collaboration with various stationaries. Therefore, researchers suggest for an initiative on more investigations for modern learning in modeling of Mlearning domain. The model should provide rich amount of information through Mlearning for collaborative learning (CL). This comes from understanding, collecting and modeling usable design, holds functionalities and non-functionalities issues to be the corner stone of the intended model. Consequently, this research studies the possibility of modeling an instructional model for Android mobile application combining the CL and M-learning concepts calls Collaborative M-learning (CML) model. Thus, determining the essential requirements by exploring the most important issues in the existing models and related works in the literatures, as well as interviewing learners are the priorities of this study. Content analysis method was used to analyze the gathered data in determining the requirements needed. The model and the prototype have been reviewed and verified by four experts. Also, 43 respondents in the field of Information Technology (IT) have tested the prototype and provided feedback on their acceptance, through Technology Acceptance Model (TAM) questionnaire under the usability evaluation. Results show that their acceptance upon the model is high, validating the functionality of the CML. Such findings recommend that the model is able to improve productivity, showing the technique to utilize mobile technology in CL. This study serves as a guidance for designers and developers in M-learning.