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Validating the ChatGPT Usage Scale: psychometric properties and factor structures among postgraduate students.

Mohamed Nemt-Allah1, Waleed Khalifa2, Mahmoud Badawy2

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A new scale measures how postgraduate students use ChatGPT for academic writing, task support, and reliance. This validated tool helps understand AI

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Area of Science:

  • Educational Technology
  • Higher Education Research
  • Artificial Intelligence in Education

Background:

  • Growing use of ChatGPT in academia raises concerns about learning and integrity.
  • Need for a psychometrically sound instrument to assess ChatGPT usage among postgraduate students.

Purpose of the Study:

  • To develop and validate a comprehensive ChatGPT Usage Scale for postgraduate students.
  • To assess the multidimensional nature of ChatGPT engagement in higher education.

Main Methods:

  • Cross-sectional survey with 443 postgraduate students.
  • Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) on a 39-item scale.
  • Assessed internal consistency using Cronbach's alpha and McDonald's omega.

Main Results:

  • EFA identified a three-factor structure: Academic Writing Aid, Academic Task Support, and Reliance and Trust.
  • CFA confirmed the 15-item scale's structure with acceptable fit indices.
  • The scale demonstrated good internal consistency and convergent validity.

Conclusions:

  • The validated ChatGPT Usage Scale is a reliable and valid instrument for assessing postgraduate student engagement with AI tools.
  • Provides insights into AI-assisted academic practices and their impact on postgraduate education.