OLJJun 1, 2026
Introduction to the Special Issue: Higher Education in an AI-Transformed World
Generative AI is rapidly reshaping higher education, forcing institutions to rethink teaching, learning, and institutional strategy.
International Journal of Designs for LearningApril 3, 2026
[Re]Producing Gendered Space and the Male Gaze: Experimentation With AI Image Generation in an Interior Design Studio
Barbara Young
AI image generators speed up design ideation but introduce gender stereotypes, highlighting the need for critical visual literacy.
What it found
An interior design studio integrated the Midjourney AI tool to help students rapidly generate visual concepts and atmospheres for a campus mental health project. While the software accelerated early-stage ideation, the generated images frequently reproduced gendered stereotypes and biased representations. This outcome demonstrated that using text-to-image tools requires integrating explicit critical analysis and visual literacy instruction.
What it means for your work
When incorporating AI image generation tools into courses, instructional designers must build in activities that help students critically evaluate output for bias and stereotypes. Rather than treating AI tools as neutral utilities, curricula should explicitly teach digital literacy and prompt engineering that counters default algorithmic biases.
Related studies
OLJJun 1, 2026
Artificial Intelligence and Digital Learning: Architecture, Hallucinations, Information, Findability, The First Rung, and The Arts of Inquiry
As AI automates entry-level jobs, instructional designers must shift focus from teaching basic answers to cultivating deep inquiry skills.
ET&SJul 1, 2026
Construction and application of a crowdsourcing-based model for digital textbooks in higher education
Building digital textbooks using a crowdsourced model of professionals, students, and AI produces highly rated, deep learning resources.
CEDTECHAug 12, 2026
Factor structure of artificial intelligence use in university teaching pedagogy
Researchers have validated a reliable 30-item scale to measure how university instructors adopt and use AI in their teaching.
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