Implementing Artificial Intelligence in Higher Education: A Pathway to Effective PBL

Abstract

This paper aims to investigate the integration of Artificial Intelligence (AI) into Project-Based Learning (PBL) methodologies within STEAM (Science, Technology, Engineering, Art, and Mathematics) education. It seeks to evaluate how AI can enhance the teaching-learning process, optimize project management, and foster digital competence among students and educators. An action research methodology is employed, consisting of iterative cycles of planning, acting, observing, and reflecting. The study focuses on developing, implementing, and assessing AI-supported PBL strategies. Data is collected through classroom observations, participant feedback, and performance evaluations to analyze the effectiveness and adaptability of AI-enhanced PBL approaches. The study provides empirical insights into the benefits and challenges of AI integration into PBL. Results suggest that AI can enhance project management, automate repetitive tasks, and support individualized learning. Challenges include technological limitations, user adaptability, and the need for adequate teacher training. The study is limited to the initial phase of implementation, with long-term outcomes yet to be measured. Findings are based on specific STEAM settings, which may limit generalizability. The paper highlights strategies for enhancing PBL through AI, including improving project planning, fostering digital literacy, and providing adaptive learning support. It addresses ethical considerations related to data privacy, informed consent, and algorithmic bias, emphasizing the need for responsible AI use in educational settings. This paper offers a systematic framework for integrating AI into STEAM-based PBL, contributing to the growing body of research on AI in education. It provides practical guidance for educators and policymakers, highlighting the transformative potential of AI in project-based learning.