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Learner Experiences of Mobile Apps and Artificial Intelligence to Support Additional Language Learning in Education

Connie Yuen, Nadja Schlote

2024Journal of Educational Technology Systems38 citationsDOIOpen Access PDF

Abstract

This study examines learners’ experiences and the use of language learning applications (“apps”) as a primary source of second or additional language learning (“L2”) instruction and assessment in higher education. It purviews the integration of artificial intelligence (AI)-powered features that support technology-enhanced language learning experiences. Principles of pedagogy, heutagogy, and self-determination theory are used to inform the appropriate design and application of AI to support language learning. We examine the congruence between learner's goals with perceived outcomes following a 4-week language learning intervention using an app. A survey of n = 151 adult learners across two Canadian universities revealed: (a) apps are perceived as an engaging, convenient, and structured approach to early stages of L2 learning and (b) the integration of AI for conversation-based simulations or speech recognition would enable more adaptive, personalized L2 learning experiences. The authors discuss implications for future developments and AI uptake for language learning apps.

Topics & Concepts

Computer scienceMobile appsMultimediaMobile deviceLanguage acquisitionHuman–computer interactionArtificial intelligenceWorld Wide WebMathematics educationPsychologyOnline Learning and AnalyticsMobile Learning in EducationTechnology-Enhanced Education Studies