Learning and Employment Record (LER) systems are emerging as critical infrastructure for securely compiling and sharing educational and work achievements. Existing blockchain-based platforms leverage verifiable credentials but typically lack automated skill-credential generation and the ability to incorporate unstructured evidence of learning. In this paper,a privacy-preserving, AI-enabled decentralized LER system is proposed to address these gaps. Digitally signed transcripts from educational institutions are accepted, and verifiable self-issued skill credentials are derived inside a trusted execution environment (TEE) by a natural language processing pipeline that analyzes formal records (e.g., transcripts, syllabi) and informal artifacts. All verification and job-skill matching are performed inside the enclave with selective disclosure, so raw credentials and private keys remain enclave-confined. Job matching relies solely on attested skill vectors and is invariant to non-skill resume fields, thereby reducing opportunities for screening bias.The NLP component was evaluated on sample learner data; the mapping follows the validated Syllabus-to-O*NET methodology,and a stability test across repeated runs observed <5% variance in top-ranked skills. Formal security statements and proof sketches are provided showing that derived credentials are unforgeable and that sensitive information remains confidential. The proposed system thus supports secure education and employment credentialing, robust transcript verification,and automated, privacy-preserving skill extraction within a decentralized framework.

翻译：学习与就业记录系统正逐渐成为安全汇集与共享教育及工作成就的关键基础设施。现有的基于区块链的平台利用可验证凭证，但通常缺乏自动化的技能凭证生成能力，且难以纳入非结构化的学习证据。本文提出一种隐私保护的、AI赋能的去中心化学习与就业记录系统以解决这些不足。系统接受来自教育机构的数字签名成绩单，并通过一个自然语言处理流程在可信执行环境内分析正式记录与非正式成果，从而生成可验证的自签发技能凭证。所有验证与岗位技能匹配均在安全飞地内通过选择性披露完成，确保原始凭证与私钥始终局限于飞地内部。岗位匹配仅依赖于经认证的技能向量，且对简历中非技能字段保持不变，从而减少筛选偏见的机会。自然语言处理组件在样本学习者数据上进行了评估；其映射遵循经过验证的Syllabus-to-O*NET方法，重复运行的稳定性测试显示顶级技能排名方差小于5%。本文提供了形式化的安全声明与证明概要，表明衍生凭证不可伪造且敏感信息保持机密。因此，所提出的系统在去中心化框架内实现了安全的教育与就业凭证管理、稳健的成绩单验证以及自动化、隐私保护的技能提取。