AI for Learning Means Pedagogy Before Technology
Studiosity has been designed for learning outcomes - discover why it matters for your educators and students.
Studiosity has been designed for learning outcomes - discover why it matters for your educators and students.
THE DIFFERENCE
THE DIFFERENCE
General-purpose AI is built to automate the lower tiers of Bloom’s Taxonomy (Remember and Understand); in contrast, Studiosity is engineered to validate student learning holistically and meaningfully for higher education - including mastery of higher tiers, Apply, Analyse, and Create, that underpin degrees.
Bloom, B. S. (1956). Taxonomy of educational objectives, handbook I: The cognitive domain. New York: David McKay Co Inc.
LW, Anderson & DR, Krathwohl & PW, Airasian & KA, Cruikshank & Mayer, Richard & PR, Pintrich & Raths, J. & MC, Wittrock. (2001). A Taxonomy for Learning, Teaching, and Assessing: A Revision of Bloom's Taxonomy of Educational Objectives.
See how universities are sustainably growing student success with Studiosity's ethical, AI for Learning.
"Impeccable analytical rigour and academic integrity...a pedagogically sound, rich and varied set of learning opportunities."
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Grades improved by 11.1% for first and third year students, with an even greater increase of 21.5% for second year students.
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The fastest gains were seen in lower-performing and less confident students, narrowing the "hidden curriculum" gap by up to 11 points in text analysis.
"Our academics have embraced Studiosity because at last we have an ethical AI tool."
Give your students integrated, defensible writing feedback support for core academic skills and content, to show critical thinking, learning gain, and sense of belonging.