Personalized Education with A Customized AI Edtech Solution Powered by Knowledge Graph

The pandemic has significantly transformed public education, ushering in the era of online classes. As students increasingly rely on online education to meet their self-directed learning needs, achieving 100% learning effectiveness remains a challenge. To address this, various IT solutions have been integrated into online education to enhance its effectiveness.

Among these innovations, artificial intelligence (AI) stands out. AI can recommend tailored solutions for individual learning scenarios. For instance, when a student answers a question incorrectly, AI provides a personalized curriculum, suggesting similar questions the student may have struggled with in the past.

Let Knowledge Graphs Curate the Most Suitable Exam Questions

A knowledge graph is a collection of interconnected descriptions of entities, such as objects, events, or concepts, that connect structured and unstructured data. This technology enables AI to operate with precision, effectively enhancing human decision-making.

We have constructed dedicated knowledge spaces for various subjects using a graph database. Educational subjects, areas, units, concept units, and items are represented as "nodes," while the relationships among the nodes are represented as "edges" to form a graph. This network structure connects multiple knowledge units.

Figure 1. Knowledge graph of educational subjects

Implementing Solutions in the Educational Ecosystem

Solution 1. Personalized Learning Paths

Our first solution offers personalized learning routes that go beyond conventional methods. By analyzing learning behavior data—such as the degree of immersion and comprehension depth—we identify areas where students might be struggling and dynamically adjust their learning paths. This approach leverages relevant content to enhance the learning experience. Understanding each student's personality and conceptual grasp, our solution also predicts the optimal moments for revisiting and reinforcing their studies.

Solution 2. Individual Personality and History Analysis

We develop a sophisticated model capable of analyzing extensive data generated during a student's learning journey to decipher their unique personality traits. This model examines problem-solving skills, reasoning abilities, concentration levels, and sincerity, enabling a nuanced diagnosis of the student's personality. This valuable insight helps tailor learning paths and iterative learning recommendations.

Figure 2. Personalized learning path recommendation and result

The personalized learning path serves as a guide for students and parents, minimizing trial and error and providing the most effective curriculum. Traditionally, most students took "semi-customized" classes tailored only to a small number of high-performing students. However, with personalized programs, every student can bolster their weaker areas and rekindle their enthusiasm and confidence in learning.

Augmented Intelligence in Education

Augmented Intelligence supports teachers without replacing them. This method improves students' concentration and learning quality, allowing teachers to invest more time in student guidance based on learning results. Through this system, teachers and educators can plan long-term personalized learning courses for each student.

* Augmented Intelligence: A subset of artificial intelligence in which AI technologies assist humans rather than replace the

Knowledge graphs offer numerous technology solutions for designing educational landscapes. Bitnine Global provides unique consultation services to conceptualize your needs and generate next-generation solutions for your business.

Interested in creating a future solution with us?

Contact us today. We look forward to helping your business reach new heights with knowledge graphs!