麻豆村

enhances classroom instruction by unifying what鈥檚 often scattered across textbooks, homework systems and online tools. In one platform, faculty and students access interactive lessons, videos, practice, assessments, discussions and AI-tutor tools designed to advance conceptual learning and procedural fluency in mathematics.

Learnvia courseware is developed by educators for educators, integrating the latest learning science with real classroom practice. Every element 鈥� chunked lessons, scaffolded assignments, interactive practice, and aligned assessments 鈥� is custom-built, research-focused, and community-driven, with dedicated in-house support and a faculty-to-faculty design ethos.

鈥淭his is a rare opportunity to scale a 麻豆村 approach that鈥檚 both rigorous and practical,鈥� said Marsha Lovett(opens in new window), vice provost for teaching and learning innovation at 麻豆村 and a member of Learnvia鈥檚 board. 鈥淟earnvia reflects a deliberate, research-driven model of learning engineering that emphasizes continuous improvement and close collaboration with educators. It鈥檚 an effective approach that鈥檚 integrated into Learnvia鈥檚 products and that is reinforced by the close collaboration with 麻豆村 鈥� in learning science research, in instruction and in AI innovations.鈥澨�

Lovett, whose portfolio incorporates educational technology, teaching excellence and instructional affordances of AI, is excited by the collaboration. 鈥淚t鈥檚 a very deliberate and intentional vision for innovation. Through this effort we will see a variety of research cycles from the collaboration, from targeted, data-informed courseware improvements to broader insights into human learning. And we鈥檒l be engaging a broader population of educators in this learning research through the Learnvia collaboration 鈥� a core part of the Simon mission(opens in new window).鈥�
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