21ST CENTURY CHANGES AND THE GROWING IMPORTANCE OF PROFESSIONAL ENGLISH PROFICIENCY
DOI:
https://doi.org/10.5281/zenodo.17697034Keywords:
data collection, deep learning, reality mining, prediction methods, economics education, differentiated learning, ESP (English for Specific Purposes), vocational trainingAbstract
This paper examines the integration of data-driven and professionally oriented methods into economics
education in Uzbekistan. It highlights the importance of analytical, predictive, and English-language competencies in
preparing students for the digital economy. The study combines big data analysis, reality mining, and ESP (English
for Specific Purposes) to improve learning outcomes. Experimental group results demonstrated higher performance
compared to control groups, confirming the effectiveness of the proposed approach. The methodology also supports
scalability across other disciplines, promoting broader implementation of differentiated, data-oriented education
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