Related Experiment Video
Updated: Jun 12, 2025
06:04
Functional Near-Infrared Spectroscopy Hyperscanning Study in Psychological Counseling
Published on: January 17, 2025
442
Validating the ChatGPT Usage Scale: psychometric properties and factor structures among postgraduate students.
Mohamed Nemt-Allah1, Waleed Khalifa2, Mahmoud Badawy2
1Faculty of Education, Al-Azhar University, Dakahlia, Egypt. mohamednamatallah.2026@azhar.edu.eg.
BMC Psychology
|September 24, 2024
Summary
A new scale measures how postgraduate students use ChatGPT for academic writing, task support, and reliance. This validated tool helps understand AI
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.
Keywords:
Academic writingArtificial intelligenceChatGPTFactor analysisPostgraduate educationPsychometricsMore Related Videos
Related Concept Videos
01:29Reliability and Validity
12.7K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
12.7K
01:22Self-Report Tests of Personality
325
Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.
325
02:16Surveys
14.7K
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
14.7K
02:01Group Design
8.9K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
8.9K
01:29Assessment of the Gastrointestinal System II: Health Perception Pattern
81
Assessing the gastrointestinal (GI) system is a complex process that begins with collecting subjective data. This data, collected through patient interviews, provides crucial insights into the patient's health history, perception patterns, and lifestyle habits, all contributing significantly to GI health.
Health Perception Patterns
Health perception patterns offer valuable insights into a patient's lifestyle habits and how they may impact their GI health. These patterns include:
Health Perception Patterns
Health perception patterns offer valuable insights into a patient's lifestyle habits and how they may impact their GI health. These patterns include:
81
02:45Self-Discrepancy Theory
18.3K
One influential perspective on what motivates people's behavior is detailed in Tory Higgin's self-discrepancy theory (Higgins, 1987). He proposed that people hold disagreeing internal representations of themselves that lead to different emotional states.
18.3K