Description

The EDUBOT project presents an innovative and effective approach to developing key competencies in STEM subjects – primarily mathematics and computer science – through the use of blended learning methodology supported by an artificial intelligence-based chatbot. The initiative responds to the growing demand for personalized, adaptive, and data-driven teaching tools that increase student engagement and improve learning efficiency.

At the heart of EDUBOT is an open LMS/CAT system, designed to create interactive, personalized learning materials. Unlike traditional e-learning platforms, EDUBOT combines the best solutions from various systems – integrating adaptive learning paths, real-time data analytics, and an AI chatbot interface that supports students in an intuitive, conversational format. This solution provides both students and teachers with a cohesive, comprehensive learning environment.

A key advantage of EDUBOT is its use of adaptive learning technology. Students follow individual learning paths that automatically adapt to their performance and needs. Those who learn quickly can move on to the next topic without unnecessary repetition, while those struggling receive additional, targeted exercises and resources. This differentiated learning process ensures more efficient use of time, increases the motivation of gifted students, and allows for additional teacher consultations for those who require support in specific subject areas.

Teachers gain access to an advanced analytics dashboard that collects detailed data on student activity—including work time, modules completed, and areas of difficulty. Using this evidence-based data, educators can quickly identify knowledge gaps at both the group and individual student level, allowing them to better plan remedial actions. EDUBOT thus supports the efficient use of classroom time and enables teachers to implement personalized support strategies.

The AI ​​chatbot plays a vital role in maintaining student engagement. It acts as a virtual assistant, offering immediate feedback, guidance, and encouragement during independent work. This makes the blended learning process more accessible, interactive, and continuous, fostering knowledge retention even outside the classroom. The results of the EDUBOT project demonstrate that this approach significantly increases student motivation, the sustainability of acquired knowledge, and teacher effectiveness. The system supports the learning of challenging, abstract STEM concepts, minimizing the frustration associated with traditional, standardized teaching methods. The platform's open nature allows for easy adaptation and integration with existing school curricula, making EDUBOT a scalable and sustainable solution.

EDUBOT represents good practice because:

• It supports inclusive and equitable education by tailoring learning to individual student needs.
•  It optimizes teachers' work through data analytics and progress reports.
•  It combines the benefits of multiple educational technologies in a single, user-friendly interface.
•  It develops 21st-century STEM competencies, such as critical thinking and problem-solving.
•  It provides data-driven, effective teaching interventions that improve learning outcomes and classroom organization.

The results demonstrate that the use of data in teaching processes is more effective and efficient than traditional teaching.

Reference Link

https://www.edubot.hu/