AIlingo: Contextual Language Learning with Artificial Intelligence in Real-World Contexts

Mastering foreign languages is essential in the globalized modern world in terms of career development and cross-cultural interactions. Mobile assisted language learning (MALL) provides a convenient and accessible platform, with recent advancements in artificial intelligence (AI) providing opportunities to improve contextualized learning experiences. This study presents AIlingo, an AI-enabled MALL tool designed to provide immersive language learning experiences within real-world contexts of learners. AIlingo uses pre-trained AI models for object detection, image captioning, text generation, and text-to-speech, enabling learners to improve vocabulary and sentence formulation by recognizing everyday objects. The user study evaluates AIlingo through the User Experience Questionnaire (UEQ) and semi-structured interviews, providing insights for further development efforts.

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Published
2024-11-22
DOI
https://doi.org/10.1145/3758871.3758962
Primary Topic
Mobile Learning in Education
Type
article
Field-Weighted Citation Impact
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article

AIlingo: Contextual Language Learning with Artificial Intelligence in Real-World Contexts

Aaqib Saeed, Jun Hu, Sahil Bhatnagar, Z. J. Zhang et al.
Mobile Learning in Education
article

AIlingo: Contextual Language Learning with Artificial Intelligence in Real-World Contexts

Aaqib Saeed, Jun Hu, Sahil Bhatnagar, Z. J. Zhang, Tianqin Lu, Yinying Miao, Nick van Geenen
article en

Abstract

Mastering foreign languages is essential in the globalized modern world in terms of career development and cross-cultural interactions. Mobile assisted language learning (MALL) provides a convenient and accessible platform, with recent advancements in artificial intelligence (AI) providing opportunities to improve contextualized learning experiences. This study presents AIlingo, an AI-enabled MALL tool designed to provide immersive language learning experiences within real-world contexts of learners. AIlingo uses pre-trained AI models for object detection, image captioning, text generation, and text-to-speech, enabling learners to improve vocabulary and sentence formulation by recognizing everyday objects. The user study evaluates AIlingo through the User Experience Questionnaire (UEQ) and semi-structured interviews, providing insights for further development efforts.

Eindhoven University of Technology (NL)
Openalex Percentile: Top 48%
Mobile Learning in Education
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AIlingo: Contextual Language Learning with Artificial Intelligence in Real-World Contexts — Aaqib Saeed, Jun Hu, et al. · (2024) | TGRS Research Map | TGRS