Gardner Campbell, Chuck Dziuban, Colm Howlin, Mark Smith
As AI automates entry-level jobs, instructional designers must shift focus from teaching basic answers to cultivating deep inquiry skills.
This conceptual paper explores how AI and Large Language Models are reshaping digital learning, information search, and career paths. The authors explain that AI acts as an "answer machine" that threatens to eliminate entry-level jobs traditionally used by graduates to build foundational skills. Consequently, they argue that education must shift its focus from simple information retrieval to fostering human creativity, critical wisdom, and advanced inquiry.
Move assessments away from simple factual recall or basic tasks, as AI easily replicates these entry-level skills. Instead, design learning experiences that emphasize critical evaluation, complex problem-solving, and metacognitive inquiry. Help learners develop the skills needed to critically analyze and guide AI-generated outputs.
AI image generators speed up design ideation but introduce gender stereotypes, highlighting the need for critical visual literacy.
Integrating generative AI into 3D educational game design enables rapid prototyping of personalized and adaptive learning experiences.
Grounding GenAI training in hands-on, playful experimentation helps faculty build literacy, but some still crave structured guidance.
Generative AI is rapidly reshaping higher education, forcing institutions to rethink teaching, learning, and institutional strategy.
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