Classting Holds "Next-Generation LMS Adoption Case Webinar"

Remarkable Quantitative and Qualitative Results Achieved After Classting LMS Adoption

AI-based learning platform Classting announced on April 28 that it has concluded its "Next-Generation LMS Adoption Case Webinar." This webinar was organized for faculty members nationwide to share examples of innovative learning experiences achieved through the adoption of next-generation Learning Management Systems (LMS) and the AI Transformation (AX) of university education. University administrators responsible for LMS adoption participated as speakers, introducing the background, transition process, use cases, and outcomes of implementing Classting LMS, as well as the overall AX process, which was well received by attendees.

The speakers explained the tangible benefits they experienced after adopting Classting LMS, including system integration and scalability, AI teaching assistants, activation of participation through PBL (Project-Based Learning) and discussion features, data-driven decision making, and more effective practical classes.

Universities that adopted Classting LMS achieved remarkable results in both quantitative and qualitative indicators. At Ulsan University, the response rate of the AI teaching assistant was exceptionally high at 96.8%. In terms of student engagement, the number of posts increased fourfold and Q&A activity doubled compared to the previous LMS, while the utilization of learning materials such as video content, assignments, surveys, and quizzes rose by 37.4 percentage points. At Baewha Women's University, the AI teaching assistant's response rate to student questions was about 90%, and the proportion of posts initiated by students themselves reached 84.4%.

The webinar also highlighted the learning effectiveness of using the Classting AI teaching assistant. Classting AI applies the latest LLM (Large Language Model) and RAG (Retrieval-Augmented Generation) technologies to answer questions based on lecture materials uploaded by faculty, providing both answers and sources. According to the findings, Classting's AI teaching assistant was used more actively in subjects with many problem-solving questions, such as programming, mathematics, and medicine. By leveraging a variety of similar answers and learning materials to understand the context of questions, it enabled deeper learning and strengthened students' self-directed problem-solving abilities.

Yujin Choi, CEO of Classting, stated, "The results of Classting LMS adoption at Ulsan University and Baewha Women's University demonstrate not just a simple system transition, but a shift in the educational paradigm achieved by harmonizing technology and the educational field." She added, "Classting will continue to lead the AX of university education and create a more efficient and creative educational environment."