The Role of AI in Facilitating Multilingual Literacy and Cross-Cultural Understanding

In the era of digital economy, where world is shrinking due to technological advancements AI has a significant role in enriching multilingual literacy and fostering cultural cross connections. In this research paper, we discuss the versatile efforts of AI contributions in overcoming linguistic and cultural barriers, enriching educational experience by means provided to acceleration learning processes and advancing global communication. The paper firstly reviews the state of multilingual education, identifying barriers for educationalists and students in mastering several languages. These challenges consist of not having enough opportunities to access high-quality resources, language learning being difficult and everyone wanting an educational experience that is suited for them. One such advancement comes from the application of AI technologies in natural language processing (NLP) and machine learning, which present creative new ways to address these issues. The paper explores how AI is used in practice, for example to offer automated translation or language learning apps (or other computer-generated cues within hypertexts) and then content creation tools involving AI. These systems which make use of state-of-the-art NLP algorithms for automated translations facilitate real-time communication and access to information in different languages. The use of AI in language learning applications creates a more personalized and engaging way for students to learn languages, as JLPT Sensei adjusts its behaviors based on each learner, so it can adapt the type of pedagogy that best fits a particular student's pace.

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Publication Details

Published
2024-11-23
DOI
https://doi.org/10.1109/icicat62666.2024.10923254
Citations
1
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.35
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article

The Role of AI in Facilitating Multilingual Literacy and Cross-Cultural Understanding

Muhammad Rohmadi, Indriyo K. Sukmono, Kundharu Saddhono, Titis Yekti Lestari et al.
1 citations
Natural Language Processing Techniques
0.35
article

The Role of AI in Facilitating Multilingual Literacy and Cross-Cultural Understanding

Muhammad Rohmadi, Indriyo K. Sukmono, Kundharu Saddhono, Titis Yekti Lestari, Kaleb E. Simanungkalit
article en
1 citations

Abstract

In the era of digital economy, where world is shrinking due to technological advancements AI has a significant role in enriching multilingual literacy and fostering cultural cross connections. In this research paper, we discuss the versatile efforts of AI contributions in overcoming linguistic and cultural barriers, enriching educational experience by means provided to acceleration learning processes and advancing global communication. The paper firstly reviews the state of multilingual education, identifying barriers for educationalists and students in mastering several languages. These challenges consist of not having enough opportunities to access high-quality resources, language learning being difficult and everyone wanting an educational experience that is suited for them. One such advancement comes from the application of AI technologies in natural language processing (NLP) and machine learning, which present creative new ways to address these issues. The paper explores how AI is used in practice, for example to offer automated translation or language learning apps (or other computer-generated cues within hypertexts) and then content creation tools involving AI. These systems which make use of state-of-the-art NLP algorithms for automated translations facilitate real-time communication and access to information in different languages. The use of AI in language learning applications creates a more personalized and engaging way for students to learn languages, as JLPT Sensei adjusts its behaviors based on each learner, so it can adapt the type of pedagogy that best fits a particular student's pace.

Sebelas Maret University (ID), Yale University (US)
Quality Education
Openalex Percentile: Top 29%
Natural Language Processing Techniques
0.35
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