Artificial Intelligence (AI), particularly Generative AI tools such as ChatGPT, has substantially influenced educational practices by automating content creation, problem-solving, and questionnaire development. Simultaneously, H5P, a free and open-source framework, facilitates the creation and sharing of interactive HTML5 educational content. These resources offer considerable potential within technology disciplines like electrical engineering, addressing existing pedagogical challenges. Electrical engineering students are required to acquire a broad spectrum of technical concepts and solve specific problems. Furthermore, they must visualize and comprehend the operation of specialized equipment utilized in electrical installations. A comprehensive suite of H5P interactive resources was developed, enabling students to engage in autonomous learning through interaction with the learning platform, fostering an enhanced user experience, facilitating self-assessment, and providing educators with feedback on teaching-learning progress. However, the development of effective interactive learning materials presents a significant challenge for educators. Consequently, Generative AI tools support and substantially reduce the effort involved in this process, thereby contributing to improved pedagogical efficacy. Therefore, this research aims to design activities with H5P and generative AI that provide an interactive and dynamic learning experience, allowing students to explore concepts, ideas, and content through engaging activities such as real-time problem-solving and immediate feedback. By integrating an online system with interactive features, this investigation seeks to enhance student engagement and refine their skills within the electrical engineering degree program. An analysis of the activities generated by ChatGPT, focusing on their diversity, difficulty levels, and solution accuracy, is conducted, evaluating ChatGPT's usability for activity generation, the variety, simplicity, or complexity of the generated tasks, and the reliability of its solutions.

Keywords: H5P, generative AI, electrical engineering education, interactive learning.