Daniel Marsh
Learning Science Researcher · Study Tools Reviewer · EdTech Writer
“Most students don’t have a studying problem — they have a studying method problem. The difference between re-reading your notes and actively testing yourself with flashcards isn’t marginal. It’s the difference between recognizing material on the day you study it and actually recalling it three weeks later when it matters.”
— Daniel Marsh, Studley AILearning scientist turned study tools obsessive
Daniel Marsh is an EdTech writer and learning science researcher with five years of experience covering AI study tools, spaced repetition systems, and memory science. He holds a Bachelor’s degree in Cognitive Science from UC San Diego, where he spent four years studying how retrieval practice, interleaving, and spaced repetition affect long-term memory retention — the same principles that underpin effective flashcard study.
Before joining the Studley AI team, Daniel worked as a curriculum design consultant for two online learning platforms, helping build adaptive quiz systems and spaced repetition algorithms grounded in cognitive load theory. That work gave him a rare double perspective: he understands both how memory consolidation works neurologically, and what it actually takes to build tools that students will use consistently under exam pressure.
At Studley AI, Daniel tests AI flashcard generators, study apps, and active recall tools with a single question in mind: does this actually help students retain information, or does it just feel like studying? His reviews are grounded in memory science, ruthlessly practical, and skeptical of edtech marketing that prioritizes engagement over measurable learning outcomes.