Academic AI overreliance scale: development and preliminary psychometric validation in health sciences university students - Scorecard - MDSpire

Development and Initial Psychometric Assessment of a Scale Measuring Overreliance on Academic AI Among Health Sciences Students

  • By

  • Daniel Oleas

  • Jose A. Rodas

  • David Alarcón Rubio

  • July 21, 2026

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Clinical Scorecard: Development and Initial Psychometric Assessment of a Scale Measuring Overreliance on Academic AI Among Health Sciences Students

At a Glance

CategoryDetail
ConditionAcademic AI Overreliance
Key MechanismsDelegation of cognitive and self-regulatory processes to generative AI systems
Target PopulationHealth sciences university students
Care SettingHigher education

Key Highlights

  • Development of the Academic AI Overreliance Scale with two factors: Emotional-Dysregulated Reliance and Cognitive Reliance
  • Exploratory and Confirmatory Factor Analyses conducted with independent samples of 437 students each
  • Excellent fit indices for the two-factor model confirmed in Study 2
  • Internal consistency was adequate for both factors (α = 0.94 for Emotional-Dysregulated Reliance, α = 0.88 for Cognitive Reliance)
  • Scale provides preliminary evidence of validity for future research on generative AI and academic reasoning

Guideline-Based Recommendations

Diagnosis

  • No specific guidelines provided in the source.

Management

  • No specific guidelines provided in the source.

Monitoring & Follow-up

  • No specific guidelines provided in the source.

Risks

  • No specific guidelines provided in the source.

Patient & Prescribing Data

Not applicable

Not applicable

Clinical Best Practices

  • Utilize the Academic AI Overreliance Scale for assessing reliance on AI in academic settings
  • Encourage self-regulated learning and cognitive engagement among students

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