Navigating the future of education requires a pedagogical approach to AI, not a panic-driven one.
This article, featured in The Chronicle of Higher Education, makes a powerful case for moving beyond AI as a shortcut and embracing it as a tool for genuine learning. It reinforces our belief that true "AI for Learning" must be grounded in evidence, develop proof of higher-order thinking, and protect the value of a degree.
Read more about how university leaders are intentionally using AI to protect degrees and empower students.
Professor Judyth Sachs, Chief Academic Officer, Studiosity: "Pedagogically-sound “AI for Learning” requires that any solution be built on an established evidence base, provide educators with full and transparent access to student activities, and that all functionality be engineered to foster development of students’ higher-order thinking skills."
Above: Bloom's Taxonomy is one way to show how AI for Learning should provide post-secondary feedback that moves beyond basic understanding and recall delivered by non-education AI. Institutional leaders can ensure AI implementations support and provide evidence for students’ development of higher-order skills like applying, analysing, evaluating, and creating. Bloom, B. S. (1956). Taxonomy of educational objectives, handbook I: The cognitive domain. New York: David McKay Co Inc.
As Studiosity CEO Mike Larsen reflects, “Colleges want students to be graduating with a strong set of higher order cognitive skills, a strong sense of who they are, and how to think for themselves. Society and employers want this too. Demand it, in fact.”
“College leaders and educators are moving toward AI tools that improve more than just the bottom rungs of Bloom’s learning hierarchy - that is, beyond basic recall and understanding as an end game. Robust AI for Learning will help develop evaluation and analysis skills, for all students equally. All of this can be powered, enabled - indeed accelerated - using fit-for-purpose AI for Learning tools, like Studiosity.”
Learn more in the full article:
