Science Learning Innovation Workshop Based on Project Based Learning Model Integrated with Artificial Intelligence Technology for Science Teachers

Abstract

In the digital era, educational innovation is crucial to creating effective and relevant learning environments. This paper addresses the need for science teachers to integrate Project-Based Learning (PjBL) with Artificial Intelligence (AI) technology, enhancing both instructional delivery and student engagement in science education. The study aims to equip teachers with the necessary understanding of how AI can be utilized to improve PjBL, focusing on problem-solving, critical thinking, and personalized learning experiences. The method used in this study is participatory, employing a case study and hands-on training approach. Teachers participated in workshops that included theoretical sessions on AI and PjBL, practical applications, and the development of AI-integrated science learning projects. The research analyzed teachers' challenges in implementing PjBL, such as limited understanding, time constraints, and resource shortages, while identifying gaps in AI usage, including a lack of knowledge and technological facilities. The results indicate that while teachers face significant barriers in adopting PjBL and AI, training workshops provide a platform for overcoming these challenges. Teachers gained new insights into AI tools and their applications in science education, leading to innovative project designs. However, continuous support and improved access to technology are necessary to fully integrate these methods into classrooms. The study concludes by recommending ongoing training and better technological support to help teachers effectively adopt PjBL and AI, ensuring interactive and adaptive science education that meets the needs of modern learning environments.