Intelligent Prediction of Employment Trends and Precise Ideological and Political Education Policies for College Students Majoring in Tourism Management Based on Big Data and Machine Learning Algorithms

Abstract

This study focuses on the application of big data and machine learning techniques in the employment forecast and the improvement of ideological education in tourism management programs. The research work uses a qualitative research strategy and thematic analysis to analyse technological development, trends of employment, and ideological education in tourism management. This research analyzes the literature on how enhanced Personalized Assistance (PA) improves educational outcomes while maintaining ideological integrity and avoiding biased influence. The results presented highlight that crucial technology combined with ideological programmes in the management of tourism improves employment prospects and career security for graduates. The article highlights major trends in tourism management education, emphasizing that globalization makes cultural sensitivity and comprehensiveness essential for modern tourism careers. The study proves that organizations that embed the principle of data in teaching and curriculum consolidation perform better in line with market trends while still upholding core values. The study also brings positive implications as to how educational institutions can properly equip tourism management students for their eventual employment without eradicating vital principles. In light of the findings of the study, specific recommendations are provided for the educational institutions, and the possible avenues for additional research are highlighted; above all, the stress on the consistent refinement of integrated educational frameworks that incorporate efficient aspects of technological intervention with ideological education approaches is stressed.

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