Developing and validating a scale of empowerment in using artificial intelligence for problem-solving for senior secondary and university students

Empowerment enables students to be psychologically and affectively ready to leverage the benefits of artificial intelligence (AI). However, a theory-driven scale to extend empowerment into the use of AI for problem-solving is lacking. This study developed and validated an 11-item scale of empowerment in using AI for problem-solving (EUAIPS) based on a proposed conceptual framework that synthesises empowerment and AI-related literature. The EUAIPS scale encompasses impact, self-efficacy, and meaningfulness in using AI for problem-solving. We collected data from a diverse sample of Hong Kong senior secondary and university students before (N = 477) and after the course (N = 409). Results demonstrated that the EUAIPS scale with a three-factor structure had good reliability and validity. Students also felt significantly more empowered to use AI for problem-solving after a 14-h course using AI for problem-solving. These findings empirically support the affective dimension of AI literacy and show that psychological control/competence is particularly important for students to harness AI to solve problems at the affective level. This study presents a valid instrument for researchers and practitioners to measure empowerment in using AI for problem-solving and informs AI literacy curriculum designers about including learning activities to help students realise its impact, self-efficacy, and meaningfulness. • A scale to assess students' empowerment in using AI for problem-solving is validated. • The three-factor 11-item EUAIPS showed good validity and reliability. • The EUAIPS is the first scale to measure empowerment in using AI for problem-solving. • Students' empowerment in using AI for problem-solving was enhanced after completing a PBL course. • AI literacy curricula should aid students to realise its impact, self-efficacy and meaningfulness.

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Publication Details

Journal
Computers and Education Artificial Intelligence
Published
2024-12-30
DOI
https://doi.org/10.1016/j.caeai.2024.100359
Citations
13
Primary Topic
Resilience and Mental Health
Type
article
Field-Weighted Citation Impact
8.31
Controls
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article

Developing and validating a scale of empowerment in using artificial intelligence for problem-solving for senior secondary and university students

Siu Cheung Kong, Jinyu Zhu, Yin Nicole Yang
13 citations
Computers and Education Artificial Intelligence
Resilience and Mental Health
8.31
article

Developing and validating a scale of empowerment in using artificial intelligence for problem-solving for senior secondary and university students

Siu Cheung Kong, Jinyu Zhu, Yin Nicole Yang
article en
13 citations

Abstract

Empowerment enables students to be psychologically and affectively ready to leverage the benefits of artificial intelligence (AI). However, a theory-driven scale to extend empowerment into the use of AI for problem-solving is lacking. This study developed and validated an 11-item scale of empowerment in using AI for problem-solving (EUAIPS) based on a proposed conceptual framework that synthesises empowerment and AI-related literature. The EUAIPS scale encompasses impact, self-efficacy, and meaningfulness in using AI for problem-solving. We collected data from a diverse sample of Hong Kong senior secondary and university students before (N = 477) and after the course (N = 409). Results demonstrated that the EUAIPS scale with a three-factor structure had good reliability and validity. Students also felt significantly more empowered to use AI for problem-solving after a 14-h course using AI for problem-solving. These findings empirically support the affective dimension of AI literacy and show that psychological control/competence is particularly important for students to harness AI to solve problems at the affective level. This study presents a valid instrument for researchers and practitioners to measure empowerment in using AI for problem-solving and informs AI literacy curriculum designers about including learning activities to help students realise its impact, self-efficacy, and meaningfulness. • A scale to assess students' empowerment in using AI for problem-solving is validated. • The three-factor 11-item EUAIPS showed good validity and reliability. • The EUAIPS is the first scale to measure empowerment in using AI for problem-solving. • Students' empowerment in using AI for problem-solving was enhanced after completing a PBL course. • AI literacy curricula should aid students to realise its impact, self-efficacy and meaningfulness.

Computers and Education Artificial IntelligenceVol. 8
Education University of Hong Kong (HK)
Openalex Percentile: Top 2%
Resilience and Mental Health
8.31
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