Skip to content
Conference

The Acceptance of Generative AI Tools Among Creative Arts Students

Jul 2026 · 2026 IEEE International Conference on Innovation, Ethics & Emerging Tech in Engineering and Computing Education (IE2C) · pp. 1-5 · 0 citations · 17 references

Abstract

The arrival of Generative AI tools has created a global phenomenon in the creative arts education. However, many art educators are still skeptical about its authenticity, thus preferring to remain with manual approaches that are perceived as more holistic and practical. This reluctance could hinder students' digital literacy and their ability to meet industry expectations. Thus, a fundamental question arises: How do creative arts students perceive Generative AI tools in terms of their practicality? To answer this question, the study employs Technology Acceptance Model (TAM) to ascertain the relationships between two main variables, Perceived Ease of Use (PEOU) and Perceived Usefulness (PU). Additionally, TAM measures Attitudes Toward Use (ATU), Behavioral Intentions to Use (BIU), and Actual Use (AU), offering insights into students' attitude to accept this technology. A total of 133 creative arts students from six UiTM branches participated in the study. The findings indicate that Perceived Usefulness (PU) strongly mediated Perceived Ease of Use (PEOU) and Attitude Toward Use (ATU). In conjunction, Attitude Toward Use (ATU) mediated Perceived Usefulness (PU), Perceived Ease of Use (PEOU) and Behavioral Intention (BI) to Generative AI tools. These findings indicate a strong acceptance of Generative AI tools among creative arts students of UiTM, which art educators can leverage by incorporating them into the teaching and learning.

View source

Similar papers

Conference

The Impact of Generative AI on Engineering Education: Insights into Student Experiences and Perceptions

The rapid evolution of artificial intelligence (AI), particularly generative AI, is reshaping engineering education. This study, part of a broader investigation into stakeholder perceptions of generative AI in engineering education, examines engineering students’ experiences with generative AI, focusing on their percep...

Awatef Ergai, Ruba Alamad, Bradley Milam et al. · 0 citations
Review

CREATIVITY STUDIES

Tomas Mitkus, Vaida Nedzinskaitė-Mitkė · 0 citations
Open access Sep 2026

Generative AI as a catalyst for critical thinking: reframing students from consumers to co-creators

This study examined students’ AI literacy, perceived learning benefits, and ethical awareness following participation in a structured, AI-integrated classroom activity. The study also investigated the relationships among these constructs and examined whether perceived learning benefits mediate the relationship betwee...

Dalia Alsaiid Abdelbaki · 0 citations
Review Open access Sep 2026

An exploratory study on students’ perceptions of generative artificial intelligence in higher education: potential consequences for creativity and critical thinking

This study aims to examine Bachelor of Communication students’ current perceptions, practices, and the scope of generative AI technologies in the university education process. In particular, perceptions, concerns, and insights into students’ practices with generative AI systems in conducting graded assignments. Data we...

Tomas Mitkus, Vaida Nedzinskaitė-Mitkė · 1 citation
Review Open access Sep 2026

Assessing Students’ Acceptance of Generative AI Tools in Education: A Technology Acceptance Model Approach

The increasing use of generative artificial intelligence (AI) in education has created opportunities to enhance teaching and learning, highlighting the need to understand the factors influencing students' acceptance of these technologies. This study examined the acceptance of generative AI tools among junior and senior...

Kevin Caratiquit, Dr. Felix E. Arcilla Jr. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.