Evidence record 3589 · automatically gathered

From Learning Resources to Competencies: LLM-Based Tagging with Evidence and Graph Constraints

Linking learning resources to a structured competency framework is key to enabling competency-based search and curriculum analytics in Learning Management Systems (LMS). However, manual tagging is labor-intensive, and fully automatic methods often lack transparency. In this paper, we present an end-to-end alignment pipeline that uses a large language model (LLM) as a constrained, evidence-producing tagger. LMS resources -both instructional content and assessments -are first segmented into meanin

Record details

Published: 27 May 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Jobs & economy · Transparency
Retrieved: 14 July 2026

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These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (27 May 2026), “From Learning Resources to Competencies: LLM-Based Tagging with Evidence and Graph Constraints,” evidence record 3589, https://ethics.ai/record/3589 (originally published by arXiv).

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