Developing E-Learning Attitude Scale: A Factor Analysis Approach

Niaz, Saira

doi:10.47205/jdss.2022(3-iii)72

JDSS

2022

DOI: 10.47205/jdss.2022(3-iii)72

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Developing E-Learning Attitude Scale: A Factor Analysis Approach

Saira Niaz

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2024

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Development and Psychometric Validation of Large Language Model and Artificial Intelligence Enabling and Self-Regulation Tool (LLMAI-ESR 32) for Medical and Health Sciences Students (Preprint)

Valdez,

Alhowaymel,

Abaoud

et al. 2024

Preprint

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BACKGROUND The Large Language Model and Artificial Intelligence Enabling and Self-Regulation tool (LLMAI-ESR 32) is specifically designed for medical and health sciences students. OBJECTIVE This study develops and psychometrically validates the tool to assess students’ ethical perspectives, usage behaviors, and understanding of AI-enabled large language models in medical education. METHODS The LLMAI-ESR 32 was developed through a systematic review and expert validation to ensure the accuracy and relevance of the included items. Psychometric testing was conducted to evaluate its reliability and validity. RESULTS The tool demonstrates high internal consistency, with an overall Cronbach’s alpha of α = 0.934, indicating strong reliability. Significant relationships were found between the assessed variables, highlighting the tool’s ability to capture knowledge, usage, and ethical considerations. The connections between different AI tools and their usage further support the tool’s effectiveness in evaluating self-regulation and enabling variables. CONCLUSIONS The LLMAI-ESR 32 is a valid, robust, and reliable psychometric measure, making it a useful tool for evaluating the integration of large language models and AI in medical and applied health science education. CLINICALTRIAL NA

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Development and Psychometric Validation of Large Language Model and Artificial Intelligence Enabling and Self-Regulation Tool (LLMAI-ESR 32) for Medical and Health Sciences Students (Preprint)

Valdez,

Alhowaymel,

Abaoud

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

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Developing E-Learning Attitude Scale: A Factor Analysis Approach

Cited by 1 publication

References 0 publications

Development and Psychometric Validation of Large Language Model and Artificial Intelligence Enabling and Self-Regulation Tool (LLMAI-ESR 32) for Medical and Health Sciences Students (Preprint)

Development and Psychometric Validation of Large Language Model and Artificial Intelligence Enabling and Self-Regulation Tool (LLMAI-ESR 32) for Medical and Health Sciences Students (Preprint)

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