Human-Computer Interaction Perspective on Mobile Learning: Gender and Social Implications
Dublin Core
Title
Human-Computer Interaction Perspective on Mobile Learning: Gender and Social Implications
Subject
Human Computer Interaction
Mobile learning
Gender Differences
Higher Education
Description
The state of Kuwait has implemented a national e-learning initiative that included the distribution of mobile devices (Tablets) to be used by students and educators. Understanding the obstacles which currently prevent a successful roll-out, implementation, and adoption of mobile learning methods in Kuwait is vital. The opportunities for learners are particularly essential in this respect, and an absence of research remains an issue as far as Kuwait is concerned. This research was carried out within Kuwait Higher Education (HE) facilities to assess students' opinions and motivations for adopting this form of learning, aiming to analyse its efficacy and explore the social factors and gender issues that might impact extending mobile learning (m-learning) potential throughout Kuwait. A questionnaire has been central to this research, sent out to 620 students in total. Two statistical methods, an analysis of variance (ANOVA), and an independent-sample t-test, have been applied. The latter is essential for assessing if any statistical significance exists between two unrelated groups (male and female being the two independent variables). The results reveal disparities of age and gender while highlighting certain social and cultural factors that might prove to be obstacles that m-learning will need to overcome. A firm analysis of such issues will enable improved approaches to help learners' access and make the most robust m-learning methods.
Creator
Al-Hunaiyyan, Ahmed
Alhajri, Rana
Al-Sharhan, Salah
Bimba, Andrew
Source
International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 11 (2021); pp. 4-20
1865-7923
Publisher
International Association of Online Engineering (IAOE), Vienna, Austria
Date
2021-06-04
Rights
Copyright (c) 2021 Ahmed Al-Hunaiyyan, Rana Alhajri, Salah Al-Sharhan
Relation
Format
application/pdf
Language
eng
Type
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Identifier
Citation
Al-Hunaiyyan, Ahmed et al., Human-Computer Interaction Perspective on Mobile Learning: Gender and Social Implications, International Association of Online Engineering (IAOE), Vienna, Austria, 2021, accessed November 22, 2024, https://igi.indrastra.com/items/show/1967