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 >
In an insightful piece by Buyan Thyagarajan, explore how leveraging GenAI can transform student inquiries in higher education. The article delves into using large language models to enhance self-service, manage unstructured data, and implement feedback loops with radical transparency. This is a forward-thinking approach that aligns with how technology can drive efficiency and innovation in educational settings. Dive into this thought-provoking strategy for digital transformation in academia.
"Universities dealing with student inquiries must handle them promptly, and they should be prepared...... read more >
