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Relational bridge: AI-enabled pedagogical accompaniment as temporary, directional, bounded micro-mediation toward human engagement

Design · All designs
Evidence · 2 claims (2 for) · 1 study (1 design), q2 · 0 of 1 report an effect size · 2 claims rest on one study

Description

The framework defines AI-enabled pedagogical accompaniment as "a structured process that supports learners in clarifying goals, articulating questions, and identifying next steps, while consistently orienting interaction toward teachers, peers, and communities of practice." Its core, the relational bridge, is a sequence of micro-mediations with three properties: temporality (interaction limited in scope and duration), directionality (oriented toward concrete next steps involving human actors), and boundedness (constrained by pedagogical purposes and ethical safeguards). Effectiveness is assessed by observable transitions toward participation, agency, and responsibility, not by engagement with the AI itself. The bridge is explicitly designed to be temporary and to avoid open-ended conversational loops.

Design Implications

Context

Requirements

  • Human-in-command governance: adults retain responsibility for educational decisions, relational boundaries, and ethical oversight, with explicit thresholds for escalation or hand-off to human actors.

Constraints

  • The framework explicitly rejects technocentric and substitutionist models; the system is not conceived as an autonomous empathic subject or surrogate for human care, and does not provide curricular instruction, psychological counseling, or affective companionship.

Target Learners

  • Learners in technical and vocational education facing challenges of self-efficacy, orientation, and continuity of engagement

Learning Goals

  • Orientation, reflection, and decision-making; articulation of goals and questions; transition toward human educational relationships

Claims

Examples

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Key Sources

  • Pier Paolo Benedetti. (2026). Design Principles and Observable Indicators for AI-Enabled Pedagogical Accompaniment: Evidence from the Amico Dual-Mode Prototype in Italy and China. Accepted at the 2026 International Conference on Artificial Intelligence and Education (ICAIE 2026), IEEE.
Page metadata
Field Value
type design
id relational-bridge-pedagogical-accompaniment
title Relational bridge: AI-enabled pedagogical accompaniment as temporary, directional, bounded micro-mediation toward human engagement
description The framework defines AI-enabled pedagogical accompaniment as "a structured process that supports learners in clarifying goals, articulating questions, and identifying next steps, while consistently orienting interact...
status review
generated by process:settle-candidates on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 1 — pier-paolo-benedetti-2026

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