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Enhancing Spatial Ability Assessment: Integrating Problem-Solving Strategies in Object Assembly Tasks Using

Jujia Li1, Kaiwen Man1, Joni M Lakin1

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Summary
This summary is machine-generated.

Reflective-Scanners, characterized by faster processing and fewer fixations, demonstrated superior performance in spatial reasoning tasks. Training falsification skills significantly enhances spatial ability, offering insights for personalized education.

Keywords:
MJ-DINA modeleye trackingresponse timespatial reasoning ability

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Area of Science:

  • Cognitive Psychology
  • Educational Psychology
  • Psychometrics

Background:

  • Investigating the link between problem-solving strategies and spatial reasoning performance is crucial for understanding cognitive processes.
  • The Object Assembly (OA) task is a common measure of spatial reasoning ability.
  • Existing models often analyze spatial ability and problem-solving strategies separately.

Purpose of the Study:

  • To propose and validate a novel Multimodal Joint-Hierarchical Cognitive Diagnosis Model (MJ-DINA) for integrated assessment of spatial reasoning and problem-solving strategies.
  • To identify distinct problem-solving strategy groups based on response time and eye-tracking data in the OA task.
  • To determine the impact of these strategies on spatial reasoning performance among young students.

Main Methods:

  • Applied the MJ-DINA model, integrating a Deterministic Inputs, Noisy "and" Gate (DINA) model for spatial ability, a lognormal response time (RT) model, and a Bayesian Negative Binomial (BNF) model for fixation counts.
  • Estimated five spatial cognitive attributes: encoding, falsification, mental rotation, mental displacement, and intractability recognition.
  • Analyzed data from young students (aged 6-14) on 17 OA items, assessing model fit using Gelman-Rubin statistics and posterior predictive p-values.

Main Results:

  • The MJ-DINA model demonstrated adequate fit, indicating reliable parameter estimation.
  • Identified four problem-solving strategy groups, with the 'Reflective-Scanner' group (faster processing, fewer fixations) showing superior performance.
  • Sufficient eye movement was identified as a key factor for better spatial reasoning, and training falsification skills proved most effective for performance improvement.

Conclusions:

  • The MJ-DINA model provides a robust framework for simultaneously assessing spatial ability and problem-solving strategies.
  • Problem-solving strategies, particularly those characterized by efficient processing and focused attention, significantly influence spatial task performance.
  • Findings support the development of tailored educational interventions to enhance spatial ability based on individual problem-solving approaches.