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

Design · All designs
Evidence · no claims cited

Description

The four-dimensional personalization framework structures personalized study planning along four dimensions adapted from prior work on personalization in online learning. PlanMate "creates customized learning plans based on the four-dimensional personalization framework (goals, time, pace, and path) established in existing literature on personalization in online learning [33] and recent work on AI-based personalization [79]." Users explicitly provide these preferences through dedicated interface controls and natural-language inputs, which the system uses to generate an individualized study plan. The same four dimensions are also used by AdaptMate when determining plan modifications.

Design Implications

Context

Requirements

  • Users must explicitly provide preferences across all four dimensions through interface controls or natural-language inputs

Constraints

  • Framework covers planning-level personalization; in-session and adaptive personalization operate through different mechanisms in LearnMate2

Target Learners

  • online learners in self-directed settings

Learning Goals

  • personalized study scheduling
  • structured learning planning

Claims

Examples

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Key Sources

  • Xinyu Jessica Wang, Christine P Lee, and Bilge Mutlu. 2026. LearnMate2: Design and Evaluation of an LLM-powered Personalized and Adaptive Support System for Online Learning. In Designing Interactive Systems Conference (DIS '26), June 13–17, 2026, Singapore, Singapore. ACM, New York, NY, USA. https://doi.org/10.1145/3800645.3812972
Page metadata
Field Value
type design
id four-dimensional-personalization-goals-time-pace-path
title Four-dimensional personalization framework for study planning: goals, time, pace, and path
description The four-dimensional personalization framework structures personalized study planning along four dimensions adapted from prior work on personalization in online learning.
status review
generated by process:settle-candidates on 2026-10-11
trust unverified — no one has confirmed this page's content
sources 1 — xinyu-jessica-wang-christine-p

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