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Four-stage AI-supported training framework for teaching competence development

Design · All designs
Evidence · 1 claim (1 for) · 1 study (1 causal), q2 · 1 of 1 report an effect size · 1 claim rests on one study

Description

The article proposes a structured framework comprising baseline assessment, AI platform training, AI-assisted cyclical teaching practice, and summative evaluation. DeepSeek served as the core AI tool for lesson preparation, lecture script drafting, concept map generation, and interactive teaching design. The framework was implemented over two semesters with five rounds of teaching practice, each lasting two weeks and organized around a unified teaching theme.

Design Implications

Context

Requirements

  • Faculty experienced in AI-assisted education to conduct training
  • A standardized scoring rubric with calibrated faculty evaluators
  • Different teaching topics assigned in each round to minimize practice effects

Constraints

  • The study was designed to evaluate a pedagogical training framework centered on AI tools rather than to isolate the independent effect of a single AI system

Target Learners

  • First-year prosthodontics graduate students

Learning Goals

  • Teaching competence development including course design, classroom organization, and reflective teaching practices

Claims

Examples

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Key Sources

  • Lei J, Weng X, Tong X, Zhang C, Chen R. (2026). Exploration of an artificial intelligence-supported training mechanism for teaching competence development in graduate students of prosthodontics. BMC Medical Education. https://doi.org/10.1186/s12909-026-09706-6
Page metadata
Field Value
type design
id four-stage-ai-teaching-training-framework
title Four-stage AI-supported training framework for teaching competence development
description The article proposes a structured framework comprising baseline assessment, AI platform training, AI-assisted cyclical teaching practice, and summative evaluation.
status review
generated by process:settle-candidates on 2026-11-04
trust unverified — no one has confirmed this page's content
sources 1 — lei-j-2026

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