Dual tailoring: simultaneous individualization of readings along interest and comprehension-level dimensions within an AI-mediated workflow

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

Dual tailoring is the article's descriptive design label (explicitly "not a new theory") for an instructional configuration combining two individualization dimensions in one AI-mediated workflow. Interest tailoring adapts readings to professional context, sector, and role through examples and cases; comprehension-level tailoring adjusts "pacing, scaffolding, explanatory depth" via definitions, stepwise structures, and check-for-understanding prompts. Both are supported by iterative prompting, in which students request follow-ups to reframe, deepen, simplify, localize, or apply a first-pass reading.

Design Implications

Context

Requirements

• Requires iterative prompting: students must request follow-up questions rather than accept a single generated text, with instructor-controlled constraints through the reading prompt template.

Constraints

• The term is a descriptive design label, not a new theory; the study does not test tutoring-level learning gains and includes no comparison condition.

Target Learners

• graduate professional students in educational leadership

Learning Goals

• coverage of core educational leadership concepts
• calibrating reading depth to professional work context

Claims

• Interest Tailoring Structural In Reading Logs [+M]
• Comprehension Prompts Trigger Scaffolding Increase [+M]

Related Designs

• Four-dimensional personalization framework for study planning: goals, time, pace, and path

Examples

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Key Sources

• Sidorkin, A. M. (2026). From One-Size Texts to Tailored Readings: Student Experiences with AI-Generated Course Materials. Open Praxis, 18(3), 506–522. https://doi.org/10.55982/openpraxis.18.3.1141

Page metadata

Field	Value
type	design
id	dual-tailoring-ai-readings-framework
title	Dual tailoring: simultaneous individualization of readings along interest and comprehension-level dimensions within an AI-mediated workflow
description	Dual tailoring is the article's descriptive design label (explicitly "not a new theory") for an instructional configuration combining two individualization dimensions in one AI-mediated workflow.
status	review
generated	by process:settle-candidates on 2026-10-11
trust	unverified — no one has confirmed this page's content
sources	1 — sidorkin-2026

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