Predictors of AI literacy and productivity: instrument development, scaling and validation

Yusnilzahri, Nur Arifah Syahadah and Mohamad Rosman, Mohamad Rahimi and Saiful Bahry, Farrah Diana (2025) Predictors of AI literacy and productivity: instrument development, scaling and validation. Journal of Information and Knowledge Management (JIKM), 15 (SI). pp. 179-191. ISSN 2231-8836; e-ISSN: 2289-5337

Abstract

Artificial Intelligence (AI) literacy refers to the degree of knowledge, skills, and ability that a person needs to effectively develop, manage, and understand the capabilities of AI in a variety of fields, including education. These days, the idea of AI is gaining popularity and needs further study. Nevertheless, prior research indicates a lack of studies on AI literacy, particularly regarding its determinants and impacts. Therefore, the objective of this study is to establish and validate an instrument that can determine AI literacy and its productivity. The study covered several stages of empirical phases and a content validity evaluation. A set of variables was chosen based on previous studies. Then, a pilot instrument was developed according to the variables chosen. Lastly, the instrument was validated using an expert review method. The examination of the reliability and face validity of potential responders had been done. Therefore, a valid instrument consisting of eight variables and forty-five items was developed.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Yusnilzahri, Nur Arifah Syahadah
UNSPECIFIED
Mohamad Rosman, Mohamad Rahimi
UNSPECIFIED
Saiful Bahry, Farrah Diana
UNSPECIFIED
Subjects: Z Bibliography. Library Science. Information Resources > ZA Information resources (General) > Electronic information resource literacy
Divisions: Universiti Teknologi MARA, Selangor > Puncak Perdana Campus > Faculty of Information Management
Journal or Publication Title: Journal of Information and Knowledge Management (JIKM)
UiTM Journal Collections: UiTM Journals > International Journal of Information and Knowledge Management (JIKM)
ISSN: 2231-8836; e-ISSN: 2289-5337
Volume: 15
Number: SI
Page Range: pp. 179-191
Keywords: Artificial intelligence, AI literacy, Productivity, AI applications, Survey instrument validation
Date: May 2025
URI: https://ir.uitm.edu.my/id/eprint/120705
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