The Enhanced Subgoal Manager: Supporting Complex Learning During Information Seeking for Creative Tasks

Traditional search systems and generative AI (GenAI) tools are designed for quick information retrieval, yet creative tasks involving complex learning require sustained engagement and deep cognitive processing.Existing AI and search tools rarely provide the structured support necessary for navigating the iterative, exploratory, and reflective nature of creative tasks.We introduce the Enhanced Subgoal Manager (EnSM), a tool that integrates GenAI that is specifically designed to scaffold complex learning during creative information-seeking tasks.Through structured reflection, goal-setting, and iterative adaptation across multiple sessions, the EnSM supports learners engaging in complex cognitive processes such as understanding abstract concepts, critically evaluating information, and synthesizing multiple sources.This work contributes to a broader reconceptualization of AI-assisted learning from rapid information access toward sustained, meaningful engagement.

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Published
2025-06-22
DOI
https://doi.org/10.1145/3698061.3734403
Primary Topic
Innovative Teaching and Learning Methods
Type
article
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article

The Enhanced Subgoal Manager: Supporting Complex Learning During Information Seeking for Creative Tasks

Kelsey Urgo, Yuan Li
Innovative Teaching and Learning Methods
article

The Enhanced Subgoal Manager: Supporting Complex Learning During Information Seeking for Creative Tasks

Kelsey Urgo, Yuan Li
article en

Abstract

Traditional search systems and generative AI (GenAI) tools are designed for quick information retrieval, yet creative tasks involving complex learning require sustained engagement and deep cognitive processing.Existing AI and search tools rarely provide the structured support necessary for navigating the iterative, exploratory, and reflective nature of creative tasks.We introduce the Enhanced Subgoal Manager (EnSM), a tool that integrates GenAI that is specifically designed to scaffold complex learning during creative information-seeking tasks.Through structured reflection, goal-setting, and iterative adaptation across multiple sessions, the EnSM supports learners engaging in complex cognitive processes such as understanding abstract concepts, critically evaluating information, and synthesizing multiple sources.This work contributes to a broader reconceptualization of AI-assisted learning from rapid information access toward sustained, meaningful engagement.

University of Alabama (US), University of San Francisco (US)
Reduced inequalities
Openalex Percentile: Top 85%
Innovative Teaching and Learning Methods
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The Enhanced Subgoal Manager: Supporting Complex Learning During Information Seeking for Creative Tasks — Kelsey Urgo, Yuan Li · (2025) | TGRS Research Map | TGRS