How does digital intelligence influence learning Japanese vocabulary at level C1

The influence of digital intelligence, particularly artificial intelligence (AI), on learning Japanese vocabulary at level C1 is significant in several ways:

1. Personalized Learning: AI-powered tools can personalize vocabulary learning by adapting to an individual’s proficiency level and learning pace. For a C1 level learner, this means advanced vocabulary needs can be targeted efficiently with contextually relevant materials and exercises. ^{1, 2}

2. Increased Engagement and Motivation: Digital intelligence can enhance motivation by offering interactive, gamified, and immersive experiences, making advanced vocabulary acquisition more engaging compared to traditional methods. AI-mediated platforms also support autonomy and self-regulated learning, important at higher proficiency levels. ^{3, 4}

3. Access to Authentic Materials: Digital technologies facilitate access to real-world Japanese language materials (e.g., articles, videos, conversations) tailored to C1 learners, which helps contextualize vocabulary and deepen understanding. ^{5, 6}

4. Instant Feedback and Adaptive Assessment: AI tools provide immediate corrective feedback on vocabulary use, pronunciation, and comprehension. This encourages self-correction and continuous improvement, crucial for mastering nuanced C1-level vocabulary. ^{7, 8}

5. Support for Cognitive and Metacognitive Strategies: Digital intelligence helps learners develop better memory, recall, and learning strategies, assisting with retention and application of high-level vocabulary. ^{4, 6}

6. Challenges and Ethical Considerations: While promising, the use of AI and digital tools requires attention to accessibility, data privacy, and fair algorithmic design to ensure effective and equitable learning experiences. ^{9, 10}

In summary, digital intelligence enhances Japanese vocabulary learning at C1 by providing personalized, engaging, real-world, and feedback-rich experiences that promote higher-order language skills and learner autonomy. However, careful design and ethical considerations remain essential for maximizing its benefits.

References

• Enhancing Language Learning Through Generative Artificial Intelligence in Blended Learning: An Empirical Study on Productive and Receptive of Informal Digital Learning English

• Artificial intelligence technologies and applications for language learning and teaching

• Artificial intelligence in language instruction: impact on English learning achievement, L2 motivation, and self-regulated learning

• Artificial intelligence in language instruction: impact on English learning achievement, L2 motivation, and self-regulated learning

• Digital Language Learning (DLL): Insights from Behavior, Cognition, and the Brain

• The digital edge: examining the relationship between digital competency and language learning outcomes

• The Use of ELSA Speak as a Mobile-Assisted Language Learning (MALL) towards EFL Students’ Pronunciation

• Artificial intelligence-based language learning: illuminating the impact on speaking skills and self-regulation in Chinese EFL context

• Artificial Intelligence in English Language Learning: Exploring Personalised Learning for Generation Z

• Artificial Intelligence and Digital Marketing: Ethical Challenges of Digital Influence on Public Perception and Consumer Behavior in the Law of the UAE

• The Influence of Artificial Intelligence and Digital Technology on ESG Reporting Quality

• The Influence of Artificial Intelligence on Traditional Sorogan and Bandongan Learning Methods in Arabic

• The influence of artificial intelligence on electronic audit evidence: exploring the mediating role of digital transformation: evidence from Jordanian export firms

• FUTURE FRONTIERS: ARTIFICIAL INTELLIGENCE’S INFLUENCE ON CYBERSECURITY DYNAMICS

• The influence of students’ intelligence types and personality traits on academic performance in distance learning in the digital environment

• Data Sorting Influence on Short Text Manual Labeling Quality for Hierarchical Classification

• Critical Appraisal of Artificial Intelligence-Mediated Communication

• Editorial: Language Development in the Digital Age

• The digital edge: examining the relationship between digital competency and language learning outcomes

• Review of Studies on Technology-Enhanced Language Learning and Teaching