Three-layer competency map linking graduate attributes to measurable behaviors¶
Design · All designs
Evidence · no claims cited
Description¶
To operationalize competency goals in the reformed curriculum, the authors developed a competency map that translates abstract professional requirements into measurable learning outcomes. As printed, "this map is structured in three hierarchical layers that link high-level graduate attributes to observable skills and measurable behaviors": AI-driven Core Competencies representing overarching graduate attributes, sub-competencies specifying observable skills such as algorithmic reasoning and data visualization, and performance indicators defining quantifiable behaviors and outputs used for assessment.
Design Implications¶
Context¶
Requirements¶
- Performance indicators must align directly with the core and sub-competencies and be paired with explicit scoring rubrics and assessment tools
Constraints¶
- The core competencies were drawn from the AI competency framework proposed by Huang (2021), recognized within China's educational reforms
Target Learners¶
- undergraduate computer-related majors
Learning Goals¶
- translating graduate attributes into assessable learning outcomes
Claims¶
Related Designs¶
- CCTDI-to-writing-rubric mapping framework linking critical thinking dispositions to writing performance indicators
- AI-driven talent cultivation reform framework with five interconnected components
Examples¶
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Key Sources¶
- Wang J and Li P (2026). AI-driven educational reform: enhancing talent cultivation in computer-related majors for the digital era. Front. Psychol. 17:1790916. https://doi.org/10.3389/fpsyg.2026.1790916
Page metadata
| Field | Value |
|---|---|
type |
design |
id |
three-layer-competency-map-ai-curriculum |
title |
Three-layer competency map linking graduate attributes to measurable behaviors |
description |
To operationalize competency goals in the reformed curriculum, the authors developed a competency map that translates abstract professional requirements into measurable learning outcomes. |
status |
review |
generated |
by process:settle-candidates on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — wang-j-and-li-p-2026 |
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