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The 5E+AI instructional model: the 5E cycle as organizational framework with generative AI supporting content generation, simulation-based training, and feedback optimization

Design · All designs
Evidence · 4 claims (4 for) · 1 study (1 causal), q2 · 0 of 1 report an effect size · 4 claims rest on one study

Description

The 5E+AI model uses the 5E instructional model (Engage, Explore, Explain, Elaborate, Evaluate) as the "organizational framework, with generative AI tools serving as assistive technologies covering three task types: content generation, simulation-based training, and feedback optimization." AI supports learning through "on-demand information retrieval, simulated practice partners, and automated personalized feedback at each phase of the 5E cycle." The model was implemented in a 12-week medical science communication course for clinical medicine undergraduates.

Design Implications

Context

Requirements

  • Requires generative AI tools integrated as a core component across all five 5E phases, not used as a standalone tool

Constraints

  • Evaluated in a single elective course at one institution with limited enrollment per semester

Target Learners

  • clinical medicine undergraduates

Learning Goals

  • science communication competence
  • medical knowledge acquisition
  • classroom participation

Claims

Examples

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Key Sources

  • Dai Huiru, Liu Minling, Li Tingwei, Wang Jiancheng, Fang Shuo. (2026). Effectiveness of a “5E+AI” teaching model on science communication in medical students: a contribution to global health literacy. Frontiers in Public Health. https://doi.org/10.3389/fpubh.2026.1916714
Page metadata
Field Value
type design
id 5e-ai-instructional-model-framework
title The 5E+AI instructional model: the 5E cycle as organizational framework with generative AI supporting content generation, simulation-based training, and feedback optimization
description The 5E+AI model uses the 5E instructional model (Engage, Explore, Explain, Elaborate, Evaluate) as the "organizational framework, with generative AI tools serving as assistive technologies covering three task types: c...
status review
generated by process:settle-candidates on 2026-11-04
trust unverified — no one has confirmed this page's content
sources 1 — dai-huiru-2026

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