PEA (Policy, Enforcement, and Authority) analytic lens

Research Method · All research methods
Evidence · 4 claims (4 for) · 1 study (1 review), q2 · 0 of 1 report an effect size · 4 claims rest on one study

Description

PEA organizes assistance governance around three design questions: what forms of assistance are allowed or restricted (Policy), how those boundaries are implemented (Enforcement), and who can control them during use (Authority). The authors state: "This What–How–Who structure was initially informed by the 5W1H design heuristic". The three dimensions were specified before corpus coding, while subcategories and decision rules were refined iteratively from the 90-system corpus. PEA is offered as a vocabulary for comparing and designing learner-facing LLM programming support systems.

Accounts

• PEA: a three-dimensional analytic lens of Policy, Enforcement, and Authority for assistance governance in LLM-based programming support: PEA organizes assistance governance around three design questions: what forms of assistance are allowed or restricted (Policy), how those boundaries are implemented (Enforcement), and who can control them during use (Authority). The authors state: "This What–How–Who structure was initially informed by the 5W1H design heuristic". The three dimensions were specified before corpus coding, while subcategories and decision rules were refined iteratively from the 90-system corpus. PEA is offered as a vocabulary for comparing and designing learner-facing LLM programming support systems. (Minsun Kim et al. (2026))

Claims

• Authority over assistance boundaries is highly centralized in system logic in LLM-based programming support systems [+W]
• Policy–enforcement pairings are dominated by prompt-based constraints, and policy themes differ in enforcement breadth [+W]
• Prompt-Based Constraint is the dominant enforcement mechanism in LLM-based programming support systems [+W]
• Policy and enforcement counts were not strongly associated across systems [+W]

Related Research Methods

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Key Sources

• Minsun Kim, S. Moonwara A. Monisha, Zihan Wu, David H. Smith IV. (2026). Exploring the Design Space of LLM-Based Programming Support in CS Education: A Scoping Review through the Lens of Assistance Governance. https://arxiv.org/abs/2607.21257

Page metadata

Field	Value
type	research-method
id	pea-policy-enforcement-and-authority-analytic-lens
title	PEA (Policy, Enforcement, and Authority) analytic lens
description	PEA organizes assistance governance around three design questions: what forms of assistance are allowed or restricted (Policy), how those boundaries are implemented (Enforcement), and who can control them during use (Authority).
status	review
generated	by process:settle-candidates on 2026-10-11
trust	unverified — no one has confirmed this page's content

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