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

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