⚠ DRAFT FRAMEWORK Universal Upleveling Protocol — Educational (UUP-E) V1.3: AI-Mediated Socratic Learning Protocol for K-12 Education

⚠️ DRAFT FRAMEWORK — NOT FIELD TESTED UUP-E configures AI assistants to help K-12 students develop critical thinking through Socratic questioning rather than answer delivery. The protocol operates in two modes: LEARNER (student-facing challenge) and MENTOR (teacher support), with age-graduated safety tiers, academic integrity guardrails, crisis response protocols, and FERPA-compliant data handling. V1.3 adds a learning analytics layer informed by published research on student-at-risk systems, a Student Persistent Record for cross-session continuity, and an Educational Technology Coordinator role for systematic deployment. The 13-document package includes everything needed for pilot deployment: operational protocol, field operations guide, metrics compendium, parent guide, constitutional compliance framework, and a prospective validation study protocol with pre-registration design. The Validation Study Protocol (Document 13) specifies a quasi-experimental design with concurrent controls, construct-valid transfer assessment, and a real-time cohort stop rule — written before any data collection begins. Built on Universal Upleveling Protocol V6.10.Contact: [email protected]: CC BY-NC-SA 4.0 Amendment 4 — JEM (Just Esk Me) — April 17, 2026: Four documents updated: Full Protocol, Metrics & Reporting Compendium, Student Persistent Record, Change Log. Amendment adds student generative state elicitation at session close and optionally mid-session — tier-adapted two-question prompt, non-verbal responses accepted, verbatim responses logged in SPR without scoring. Motivated by Khanmigo postmortem analysis identifying absence of student generative state mechanism as a structural gap in AI tutoring design. Elaborative Wait terminology clarified throughout as a UUP-E design principle extending Rowe's (1974, 1986) wait time research. All other documents unchanged.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-17
DOI
https://doi.org/10.5281/zenodo.19499257
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
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article

⚠ DRAFT FRAMEWORK Universal Upleveling Protocol — Educational (UUP-E) V1.3: AI-Mediated Socratic Learning Protocol for K-12 Education

Martin Bohley
Zenodo (CERN European Organization for Nuclear Research)
Intelligent Tutoring Systems and Adaptive Learning
article

⚠ DRAFT FRAMEWORK Universal Upleveling Protocol — Educational (UUP-E) V1.3: AI-Mediated Socratic Learning Protocol for K-12 Education

Martin Bohley
article en

Abstract

⚠️ DRAFT FRAMEWORK — NOT FIELD TESTED UUP-E configures AI assistants to help K-12 students develop critical thinking through Socratic questioning rather than answer delivery. The protocol operates in two modes: LEARNER (student-facing challenge) and MENTOR (teacher support), with age-graduated safety tiers, academic integrity guardrails, crisis response protocols, and FERPA-compliant data handling. V1.3 adds a learning analytics layer informed by published research on student-at-risk systems, a Student Persistent Record for cross-session continuity, and an Educational Technology Coordinator role for systematic deployment. The 13-document package includes everything needed for pilot deployment: operational protocol, field operations guide, metrics compendium, parent guide, constitutional compliance framework, and a prospective validation study protocol with pre-registration design. The Validation Study Protocol (Document 13) specifies a quasi-experimental design with concurrent controls, construct-valid transfer assessment, and a real-time cohort stop rule — written before any data collection begins. Built on Universal Upleveling Protocol V6.10.Contact: [email protected]: CC BY-NC-SA 4.0 Amendment 4 — JEM (Just Esk Me) — April 17, 2026: Four documents updated: Full Protocol, Metrics & Reporting Compendium, Student Persistent Record, Change Log. Amendment adds student generative state elicitation at session close and optionally mid-session — tier-adapted two-question prompt, non-verbal responses accepted, verbatim responses logged in SPR without scoring. Motivated by Khanmigo postmortem analysis identifying absence of student generative state mechanism as a structural gap in AI tutoring design. Elaborative Wait terminology clarified throughout as a UUP-E design principle extending Rowe's (1974, 1986) wait time research. All other documents unchanged.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 12%
Intelligent Tutoring Systems and Adaptive Learning
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