Luminis Applied Science and Engineering · 2024 · 25 citations · 0 references
EducationEducational TechnologyTeachingLanguage EducationLanguage PedagogyMobile ComputingArtificial Intelligence In Language LearningLanguage Learning ApplicationsMobile LearningMobile-assisted Language LearningTechnology IntegrationVirtual Learning EnvironmentsAutonomous Language LearningBarriersClassroom Technology IntegrationMobile Learning EffectivenessMobile Learning EngagementMobile Learning EnvironmentsMobile Learning PedagogyPedagogical Models
Mobile-Assisted Language Learning (MALL) leverages mobile technologies to transform language education by offering accessibility, engagement, and personalization. This study explores MALL's theoretical foundations, key technologies, practical applications, and challenges, emphasizing its role in enhancing classroom integration, autonomous learning, and collaboration. While MALL provides significant benefits, including democratized access and improved learner outcomes, it faces limitations such as technical barriers, pedagogical issues, and ethical concerns. Case studies and research insights underscore MALL's effectiveness, and emerging trends like AI and VR highlight its future potential. Recommendations for educators and policymakers aim to ensure sustainable and inclusive adoption of MALL.