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 analyze 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.
Presenters
Sheng Kuan ChungProfessor, Curriculum and Instruction, University of Houston, Texas, United States
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
Critical Thinking, Visual Analysis, Art Education, Visual Culture, Artificial Intelligence
