In "Scaling Evidence-based Instructional Design Expertise Using AI," the research spearheaded by Gautam Yadav's team at Carnegie Mellon University examines the transformative potential of AI in instructional design, particularly using Large Language Models (LLMs) like GPT-4 to bridge the gap between educational theory and practical application. The central thesis revolves around the capability of AI to scale evidence-based instructional practices traditionally limited by resources. Through two pivotal experiments, the study showcases AI’s ability to streamline the development of educational...... read more >
I've just explored Ethan Mollick's eye-opening analysis of recent AI advancements. The pace of change in AI, from models like GPT-4 becoming accessible on personal devices to groundbreaking problem-solving capabilities, challenges what we thought about AI's role in our lives. Mollick's insights into AI's integration might reshape how we perceive technology's potential impact on work and research. The implications are profound and deserve our attention.
"Ethan Mollick articulates a transformative shift in AI development, noting that GPT-4 level intelligence, once a source of significant... read more >
