DEVELOPING LIN-GUA DIGITAL IDENTITY IN LEARNING PROFESSIONAL ENGLISH IN IT
DOI:
https://doi.org/10.52269/KGTD2532128Keywords:
Lingua-digital identity, AI, task-based learning, IT field, personalized educationAbstract
This study investigates the effectiveness of Lingua Digital Identity (LDI) in enhancing professional English skills among IT students. As technological advancements and globalization increase the demand for strong communication abilities, traditional ESP methods often fail to fully engage learners or address industry-specific needs. LDI integrates artificial intelligence, task-based learning and real-world scenarios to improve vocabulary, writing and speaking skills. A 12-week mixed-methods study with 60 undergraduate IT students compared LDI-based learning with conventional approaches. Results showed that LDI significantly boosted communication skills, with students achieving up to 50% greater improvement compared to those in traditional programs. Specific gains include a 33% increase in vocabulary, 32% in writing proficiency and 26% in speaking fluency. This approach is particularly beneficial for students who wants to improve professional English, helping them build confidence and close skill gaps. The study also shows that higher engagement leads to better learning outcomes. Overall, LDI equips IT students with the practical language skills needed to succeed in today’s digital and global workplaces.

