AIlingo: Contextual Language Learning with Artificial Intelligence in Real-World Contexts
Year: 2024
Type: conference-paper
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.
Authors: Tianqin Lu, Sahil Bhatnagar, Nick van Geenen, Yinying Miao, Zitian Zhang, Aaqib Saeed, Jun Hu
Institution: Eindhoven University of Technology
Language: English
Topic: Mobile Learning in Education
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4415685799