The technology behind EDUM (EDUM) is a fascinating blend of blockchain-based distributed storage systems and advanced artificial intelligence techniques, including Deep Learning and Large Language Models (LLM). This combination creates a robust and innovative platform that not only secures data but also enhances the educational experience through intelligent analysis and personalized coaching.
EDUM operates on a blockchain, a type of distributed ledger technology that ensures data integrity and security. Blockchain technology is decentralized, meaning that data is stored across multiple nodes or computers, making it nearly impossible for bad actors to alter or tamper with the information. Each transaction or data entry is recorded in a block, which is then linked to the previous block, forming a chain. This structure ensures that any attempt to modify a single block would require altering all subsequent blocks, a feat that is computationally impractical and highly secure.
To further bolster security, EDUM employs consensus mechanisms, which are protocols that all participating nodes must follow to validate transactions. These mechanisms prevent double-spending and ensure that only legitimate transactions are added to the blockchain. For example, Proof of Stake (PoS) is one such consensus algorithm that could be used, where validators are chosen based on the number of tokens they hold and are willing to "stake" as collateral. This reduces the risk of attacks since malicious actors would need to control a significant portion of the tokens to influence the network.
In addition to blockchain, EDUM leverages state-of-the-art artificial intelligence techniques. Deep Learning, a subset of machine learning, involves training neural networks on large datasets to recognize patterns and make predictions. This technology is used within EDUM to analyze learners' study habits and provide personalized feedback. For instance, if a student struggles with a particular topic, the AI can identify this and suggest targeted resources to help them improve.
Large Language Models (LLM) are another critical component of EDUM's technology stack. These models are designed to understand and generate human-like text, enabling the platform to offer intelligent tutoring and coaching. By analyzing the language used in students' queries and responses, LLMs can provide contextually relevant advice and explanations, making the learning process more interactive and effective.
EDUM, initiated on February 21, 2023, by a team in South Korea, is a Study to Earn (S2E) platform within the broader X2E model. This project quantifies and certifies learners' study activities, offering rewards for their educational efforts. The system is grounded in a structured approach that includes goal setting, self-directed learning, achievement recognition, and earning opportunities through educational progress. The platform facilitates this through its S2E Service Tools and collaborations with various educational service providers, creating a comprehensive educational ecosystem.
The integration of blockchain and AI in EDUM not only secures the platform but also enhances its functionality. Blockchain ensures that all educational achievements and rewards are transparently recorded and immutable, while AI provides personalized learning experiences. This synergy between technologies makes EDUM a pioneering project in the educational sector, focusing on incentivizing learning through a digital framework.