Enhancing College Students’ Achievement, Motivation, and Engagement in Film Character Design Through AI-Driven Smart Sketchpad: A Personalized Interactive Learning Model for Art Education

As technologies such as artificial intelligence rapidly evolve, the traditional lecture-based class can no longer meet students’ learning needs. Previous research has demonstrated that AI can be an essential tool for improving the learning experience. However, research has also pointed out that promoting AI applications in education has been challenging. Developing domain-specific applications based on AI technology is a massive challenge for the development of AI in education. Further research has pointed out that the development of AI applications in education rarely considers students’ perceptual learning motivations. This study proposes a teaching method based on an artificial intelligence tool, the Artificial Intelligence Smart Sketchpad (AISS), to assist in teaching character art design in a multimedia environment. The artificial intelligence will identify students’ drawing sketches and make corrections. This study explores the impact of AISS on achievement, engagement and motivation among film character art design students in a multimedia environment. To this end, we adopted a quantitative research method. Over five weeks, we assessed 60 university students. Preliminary results indicate that the AI smart sketchpad (AISS) significantly improves students’ motivation, engagement, and performance. Student feedback indicates that the AI tool stimulates creative thinking by offering greater creative freedom and possibilities and quickly transforming sketches into high-quality design drawings. A new direction will be explored for personalized and self-learning for students.

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Institutions

Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3560021
Citations
2
Primary Topic
Digital Media and Visual Art
Type
article
Field-Weighted Citation Impact
7.08

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article

Enhancing College Students’ Achievement, Motivation, and Engagement in Film Character Design Through AI-Driven Smart Sketchpad: A Personalized Interactive Learning Model for Art Education

Norsafinar Rahim, Shuang Zeng, Songni Xu
2 citations
IEEE Access
Digital Media and Visual Art
7.08
article

Enhancing College Students’ Achievement, Motivation, and Engagement in Film Character Design Through AI-Driven Smart Sketchpad: A Personalized Interactive Learning Model for Art Education

Norsafinar Rahim, Shuang Zeng, Songni Xu
article en
2 citations

Abstract

As technologies such as artificial intelligence rapidly evolve, the traditional lecture-based class can no longer meet students’ learning needs. Previous research has demonstrated that AI can be an essential tool for improving the learning experience. However, research has also pointed out that promoting AI applications in education has been challenging. Developing domain-specific applications based on AI technology is a massive challenge for the development of AI in education. Further research has pointed out that the development of AI applications in education rarely considers students’ perceptual learning motivations. This study proposes a teaching method based on an artificial intelligence tool, the Artificial Intelligence Smart Sketchpad (AISS), to assist in teaching character art design in a multimedia environment. The artificial intelligence will identify students’ drawing sketches and make corrections. This study explores the impact of AISS on achievement, engagement and motivation among film character art design students in a multimedia environment. To this end, we adopted a quantitative research method. Over five weeks, we assessed 60 university students. Preliminary results indicate that the AI smart sketchpad (AISS) significantly improves students’ motivation, engagement, and performance. Student feedback indicates that the AI tool stimulates creative thinking by offering greater creative freedom and possibilities and quickly transforming sketches into high-quality design drawings. A new direction will be explored for personalized and self-learning for students.

IEEE AccessVol. 13
Universiti Sains Malaysia (MY), Sichuan University of Science and Engineering (CN), Southwest Minzu University (CN)
Southwest Minzu University
Quality Education
Openalex Percentile: Top 4%
Digital Media and Visual Art
7.08
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