AN AI-SUPPORTED PROJECT-BASED LEARNING APPROACH FOR ENHANCING WEB TECHNOLOGY COMPETENCE IN HIGHER EDUCATION

Authors

  • Soliev Bakhromjon Nabijonovich Fergana State Technical University Author

Keywords:

Project-Based Learning, Artificial Intelligence, LMS, Web Competence, Higher Education.

Abstract

The rapid evolution of digital technologies has significantly transformed higher education, particularly in the domain of web technologies. However, traditional teaching approaches often fail to develop practical competencies required in real-world environments. This study proposes an AI-supported Project-Based Learning (PBL) approach implemented through a Learning Management System (LMS) to enhance students’ web technology competence. An experimental study was conducted involving undergraduate students divided into control and experimental groups. The experimental group was exposed to an AI-enhanced PBL environment, incorporating adaptive quizzes, automated feedback, and project-oriented tasks. The findings indicate a statistically significant improvement in students’ competence levels compared to traditional methods. The results suggest that integrating artificial intelligence with PBL provides a more effective and personalized learning experience in higher education.

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Published

2026-04-20

Issue

Section

Articles

How to Cite

AN AI-SUPPORTED PROJECT-BASED LEARNING APPROACH FOR ENHANCING WEB TECHNOLOGY COMPETENCE IN HIGHER EDUCATION. (2026). Educator Insights: Journal of Teaching Theory and Practice, 2(4), 180-186. https://brightmindpublishing.com/index.php/EI/article/view/2440