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Decision making about the future learning outcome framework with twelve components

Design · All designs
Evidence · no claims cited

Description

The article develops a 'decision making about the future' learning outcome framework informed by decision-making science, AI methodologies, and educational and psychological perspectives. It has twelve components and treats sustainability as dynamic: "AI technology enables sustainability to be treated as a dynamic and evolving concept of sustainability, and learners are able to study the nature and rate of anthropogenic environmental change, identify likely future challenges and opportunities, and make decisions". It serves as a methodological guide for designing AI-supported activities.

Design Implications

Context

Requirements

  • A data-intensive learning environment in which learners study environmental change and make decisions

Constraints

  • Designed for the formal school geography curriculum context

Target Learners

  • high school geography students (Grade 12)

Learning Goals

  • decision-making competency for sustainable development
  • understanding anthropogenic environmental change

Claims

Examples

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Key Sources

  • Xi Xiang & Michael E. Meadows. (2025). Being proactive about anthropogenic environmental changes: augmenting students' decision making with artificial intelligence (AI) technology. Education Tech Research Dev. https://doi.org/10.1007/s11423-025-10523-9
Page metadata
Field Value
type design
id decision-making-about-future-framework-ai-geography
title Decision making about the future learning outcome framework with twelve components
description The article develops a 'decision making about the future' learning outcome framework informed by decision-making science, AI methodologies, and educational and psychological perspectives.
status review
generated by process:settle-candidates on 2026-10-29
trust unverified — no one has confirmed this page's content
sources 1 — xi-xiang-michael-e-meadows-2025

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