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原文摘要

Designing effective instruction requires instructional designers to create assessment questions aligned with clearly defined knowledge components (KCs). These KCs represent specific knowledge or skills that students must acquire. This process is often time-consuming and relies heavily on expert labor. Although AI for education research has produced a growing body of automated question-generation and KC-discovery methods, few have moved beyond research prototypes into user-friendly tools that instructional designers can readily use. To bridge the research-to-practice gap, we developed and evaluated an educational intelligence platform that unifies question generation and KC discovery behind a single interface to support instructional content development. Named "Perspicacious," our platform aims to help instructional designers "see through" complex data and algorithms to derive instructional insights. A cost model calibrated on 17 production runs revealed a cost-time trade-off: extracting KCs from a 576-question bank cost US $1.98-4.11 and took 36-158 minutes to complete, depending on the budget. A formative, partially Wizard-of-Oz study with eight instructional designers found strong perceived usability (mean SUS 78.8) and surfaced concrete requirements that we treat as prerequisites for deployment.