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AI-SEE framework

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Evidence · 1 claim (1 against) · 1 study (1 qualitative), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description

The AI-SEE framework proposed by Feng Liu et al. organizes application-oriented engineering curricula around intelligence-driven, green-empowered, responsibility-leading, and practice-integrated learning.

Components

  • Four-pillar curriculum pattern: intelligence-driven, green-empowered, responsibility-leading, and practice-integrated learning: The AI-SEE framework organizes the curriculum as four mutually reinforcing pillars. The intelligence-driven pillar embeds AI for data acquisition, modeling, feedback, and simulation; the green-empowered pillar embeds lifecycle assessment and carbon accounting as decision criteria; the responsibility-leading pillar makes engineering ethics a required component; the practice-integrated pillar connects classrooms with industry and communities. The article states that "AI-SEE therefore emphasizes that learning tasks should culminate in action within real contexts," and that the pillars "together form a dynamic system for cultivating the competencies required of sustainable engineering professionals in the AI era." (Feng Liu et al. (2026))

Claims

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Key Sources

  • Feng Liu, Hua Wang, Yuntao Guo, Tianpei Tang. (2026). Enhancing Sustainability Consciousness in Higher Education: Impacts of Artificial Intelligence-Integrated Sustainable Engineering Education. Sustainability 18, 2124. https://doi.org/10.3390/su18042124
Page metadata
Field Value
type product
id ai-see-framework
title AI-SEE framework
description The AI-SEE framework proposed by Feng Liu et al.
status review
moved_from design/ai-see-framework
product_kind framework
generated by process:settle-candidates on 2026-10-12
trust unverified — no one has confirmed this page's content
sources 1 — feng-liu-2026

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