Kaohsiung University showcases AI and solar tech at innovation expo

National Kaohsiung University is at the forefront of technological innovation, recently exhibiting its cutting-edge research in AI-driven education and advanced solar energy at the "Great Bay New Startups" expo in Kaohsiung. The university's participation underscored its commitment to linking scientific research with practical industry applications.

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From generating 3D models in real-time from a voice command, to an AI tutor that guides students' thinking according to the 108 curriculum, to using machine learning to help identify key parameters affecting solar cell efficiency.

A key highlight was the "EWOVA EduGen: AI-Driven Immersive Technology Teaching System." Developed by a team led by Associate Professor Wang Cheng-hung of the School of Arts and Creative Industries, this system builds upon existing immersive virtual reality teaching platforms. It integrates large language models and generative AI into virtual classrooms, offering features such as real-time 3D model generation from voice input, an AI tutor aligned with Taiwan's 108 curriculum, AI teaching assistants, instant translation, and automated learning record keeping. This system transforms virtual classrooms into intelligent learning environments that can generate content and respond to learning needs in real-time.

Students can now create 3D models simply by speaking the name of an object, which are then placed in a virtual space for interactive exploration. The AI tutor employs Socratic questioning to guide students toward core learning objectives, enhancing critical thinking skills.

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The system builds upon the EWova immersive virtual reality teaching platform, integrating large language models and generative AI into virtual classrooms. It includes functions such as 3D model generation, AI tutors, AI teaching assistants, real-time translation, and learning history recording.

Additionally, Assistant Professor Hsu Jui-yun's team from the Department of Electrical Engineering presented their work on "Interface Engineering and Data-Driven Optimization Technology Platform for Next-Generation Perovskite Solar Cells." This research integrates material design, device fabrication, thin-film analysis, and AI-driven optimization. By pursuing both experimental processes and data analysis simultaneously, the team aims to significantly improve the efficiency of next-generation solar cells, contributing to the expansion of green energy generation and net-zero sustainable applications.

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The AI tutor follows the 108 curriculum and guides students to refocus on the core of learning through 'Socratic questioning.'

The university's presence at the expo demonstrated its diverse capabilities in driving innovation across crucial technological fields, positioning itself as a key player in Taiwan's burgeoning tech and startup ecosystem.

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The research integrates material design, component fabrication, thin-film analysis, and artificial intelligence-assisted optimization, simultaneously improving the efficiency of next-generation solar cells through experimental processes and data analysis.