AI tools in informal mobile-assisted language learning: opportunities and barriers
AI tools in informal mobile-assisted language learning: opportunities and barriers
AI tools in informal mobile-assisted language learning: opportunities and barriers
Investigated how language learners use AI tools for informal learning, identifying key benefits, barriers and opportunities for more effective learning experiences
Investigated how language learners use AI tools for informal learning, identifying key benefits, barriers and opportunities for more effective learning experiences
Investigated how language learners use AI tools for informal learning, identifying key benefits, barriers and opportunities for more effective learning experiences
TEAM
TEAM
TEAM
TIMELINE
TIMELINE
6 months
6 months
6 months
MY ROLE
MY ROLE
MY ROLE
UX research
UX research
Questionnaire design
Questionnaire design
User interviews
User interviews
Data analysis
Data analysis
Research goals
Research goals
RG1: Explore learner interaction with AI tools in informal MALL.
RG2: Assess their use and impact on language skill development.
RG3: Evaluate learner acceptance in mobile, self-directed contexts.
RG1: Explore learner interaction with AI tools in informal MALL.
RG2: Assess their use and impact on language skill development.
RG3: Evaluate learner acceptance in mobile, self-directed contexts.
Methodology
Methodology
The study used a mixed-methods approach, combining a questionnaire with 104 respondents and 11 semi-structured interviews to capture both breadth and depth. Learner acceptance was evaluated using the Technology Acceptance Model (TAM), focusing on perceived usefulness, ease of use and intention to continue using AI tools.
The study used a mixed-methods approach, combining a questionnaire with 104 respondents and 11 semi-structured interviews to capture both breadth and depth. Learner acceptance was evaluated using the Technology Acceptance Model (TAM), focusing on perceived usefulness, ease of use and intention to continue using AI tools.
Results
Results
52.9%
52.9%
52.9%
Learners build their own AI tool ecosystems
Over half combined structured apps with GenAI, adapting their tool use as their goals and proficiency changed.
Learners build their own AI tool ecosystems
Over half combined structured apps with GenAI, adapting their tool use as their goals and proficiency changed.
74%
74%
74%
Rated AI highly beneficial for vocabulary
Vocabulary received the strongest endorsement, followed by grammar, reading and listening, while productive skills such as speaking and writing faced greater limitations.
Rated AI highly beneficial for vocabulary
Vocabulary received the strongest endorsement, followed by grammar, reading and listening, while productive skills such as speaking and writing faced greater limitations.
90.4%
90.4%
90.4%
Learner acceptance was high
Nine in ten rated AI tools at least moderately effective, with flexibility and immediate feedback among the perceived benefits.
Learner acceptance was high
Nine in ten rated AI tools at least moderately effective, with flexibility and immediate feedback among the perceived benefits.
Current tools still create important friction.
Speech recognition, feedback quality, conversational interactivity and personalisation were recurring limitations.
Current tools still create important friction.
Speech recognition, feedback quality, conversational interactivity and personalisation were recurring limitations.
Implications
Implications
Support flexible, personalised learning
Design AI experiences that adapt to changing learner goals and proficiency, giving learners greater control over content and progression.
Support flexible, personalised learning
Design AI experiences that adapt to changing learner goals and proficiency, giving learners greater control over content and progression.
Improve feedback and conversational realism
More adaptive feedback and natural interaction could better support self-correction, particularly for speaking, pronunciation and writing.
Improve feedback and conversational realism
More adaptive feedback and natural interaction could better support self-correction, particularly for speaking, pronunciation and writing.
Complement rather than replace human learning
AI can extend opportunities for independent practice, but meaningful human interaction remains important for developing communication skills.
Complement rather than replace human learning
AI can extend opportunities for independent practice, but meaningful human interaction remains important for developing communication skills.
Want to dive deeper?
The full research paper includes the complete methodology, analysis and discussion. The manuscript is currently anonymised for peer review.
Want to dive deeper?
The full research paper includes the complete methodology, analysis and discussion. The manuscript is currently anonymised for peer review.
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