LearnAdapt Praxis：面向成人职场学习的受控AI辅助与证据追踪
LearnAdapt Praxis: Controlled AI Assistance and Evidence Traces for Adult Workplace Learning
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中文总结 AI 辅助
LearnAdapt Praxis提出五阶段学习工作区，通过项目级控制分离辅助与独立工作，存储可检查证据，并经过120个合成项目片段测试，验证了工程属性，但未验证学习成效。
中文摘要 AI 辅助
AI可以帮助成年人产出看似合理的职场工件，但同时使得他们的独立推理难以被审查。LearnAdapt Praxis通过一个五阶段学习工作区来解决这一设计问题：框架（Frame）、学习（Learn）、构建（Build）、验证（Validate）和迁移（Transfer）。该应用存储初始响应、版本化规格说明、辅导记录、验证观察、独立的迁移响应以及促进者反馈。项目级服务器控制限制了在活跃迁移尝试期间的辅导、对早期工作的访问以及学习者的导出；这些控制并不能证明学习者在应用外部避免了辅助。本技术报告描述了所实现的架构，并评估了选定的工作流、权威性、故障恢复和溯源属性。一项可复现的合成演练在三个虚构的职场情境和四种注入的提供者条件下执行了120个串行项目片段。所有3,990项记录的检查均符合其指定的预期。生成的记录包含240个规格版本、1,200个活动事件和60个存储的合成提示；60次注入的提供者故障未产生任何捏造的提示。单独的身份验证回归测试暴露并解决了一个会话过期缺陷，有限的暂存和生产检查验证了账户访问和实时模型连接。证据支持所记录版本中已测试的工程属性。它并未确立学习收益、模型输出质量、无辅助评估的有效性、人群可用性或生产能力。其贡献在于一种将辅助工作、项目级辅助撤回和可检查证据分离的实现方案，并附有可执行测试和对仍需与成人学习者验证内容的明确说明。
英文摘要
AI can help adults produce plausible workplace artefacts while leaving their independent reasoning difficult to inspect. LearnAdapt Praxis addresses this design problem through a five-stage learning workspace: Frame, Learn, Build, Validate and Transfer. The application stores an initial response, versioned specifications, coaching records, validation observations, a separate transfer response and facilitator feedback. Project-level server controls restrict coaching, access to earlier work and learner export during an active transfer attempt; they do not establish that a learner avoided assistance outside the application. This technical report describes the implemented architecture and evaluates selected workflow, authority, failure-recovery and provenance properties. A reproducible synthetic rehearsal exercised 120 serial project episodes across three fictional workplace contexts and four injected provider conditions. All 3,990 recorded checks met their specified expectations. The resulting records contained 240 specification versions, 1,200 activity events and 60 stored synthetic hints; 60 injected provider failures produced no fabricated hints. Separate authentication regressions exposed and resolved a session-expiry defect, and limited staging and production checks verified account access and live model connectivity. The evidence supports the tested engineering properties of the recorded release. It does not establish learning gains, model-output quality, unaided assessment validity, population usability or production capacity. The contribution is an implemented arrangement for separating assisted work, project-level assistance withdrawal and inspectable evidence, accompanied by executable tests and an explicit account of what remains to be validated with adult learners.
发表机构
- Singapore University of Technology and Design（新加坡科技设计大学）
机构由 AI 辅助整理，请以论文原文为准。
