Sheng Kuan Chung

1.12 Integrating AI Tools in Undergraduate Visual Culture Analysis (Paper) – virtual

Sheng Kuan Chung – University of Houston, Houston, Texas, USA – virtual

Abstract:

This paper explores an innovative AI-assisted visual analysis assignment in an undergraduate critical visual culture course. In our visually saturated arena, developing students’ ability to critically analyse images is crucial. This study investigates how integrating AI tools into visual analysis tasks enhances students’ critical thinking skills, deepens their understanding of visual culture, and prepares them for an AI-driven future. The research employs a mixed-methods approach, examining a three-step assignment: students conduct a personal image analysis, use AI tools for further analysis, and integrate insights from both perspectives. Data collection includes qualitative analysis of student work and surveys. This study contributes to the discourse on AI integration in humanities education, offering educators a viable lens for AI-assisted assignments and pedagogical insights into fostering 21st-century skills in visual culture studies.

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