Design and Implementation of a Blockchain-based Self-Directed Learning Process Evaluation Traceability Platform
Abstract
This study proposes a blockchain-based self-directed learning process evaluation traceability platform to address issues in current self-directed learning evaluation systems, including insufficient transparency, single evaluation subjects, low student participation, and nonstandardized evaluation criteria. The platform, designed based on a self-directed learning ability influence factor model, utilizes blockchain’s immutability to achieve secure storage, transparent recording, and trusted sharing of learning data. Comprising blockchain and application layers, the platform enables users to monitor the entire learning process and trace data through its interface. Multi-dimensional test results demonstrate the platform’s usability and reliability in high-concurrency scenarios. This study enriches self-directed learning evaluation and learning analytics theories. It provides new possibilities for integrating blockchain technology with digital education, significantly promoting educational evaluation reform and high-quality education development.
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