Improving the Educational Process in Technical and Vocational Education Using Artificial Intelligence: Innovative Strategies and Tools
الكلمات المفتاحية:
Artificial Intelligence in Education, Technical and Vocational Education, AI in TVE, Personalized Learning in TVE, Intelligent Tutoring Systems, AI-driven Skill Gap Analysisالملخص
The study explores various AI tools and methodologies, analyzing their impact on learning outcomes, student engagement, and skill development. Through a comprehensive literature review, case studies, and stakeholder perspectives, the research highlights the benefits and challenges of AI in technical and vocational education.
Key findings include the effectiveness of AI-powered personalized learning platforms, intelligent tutoring systems, and data-driven decision-making in enhancing the educational process. However, the study also addresses concerns such as technological bias, ethical considerations, and the need for robust faculty training and infrastructure support.
To guide the strategic integration of AI in technical and vocational education, the authors propose a comprehensive framework that includes needs assessment, ethical guidelines, faculty development, iterative implementation, stakeholder engagement, and ongoing monitoring and evaluation. This framework aims to optimize the use of AI in preparing students for the evolving workforce while addressing potential challenges and ensuring a balanced and effective learning experience.
