Evidence-based strategies from Masterful Learning.
Master elaborative encoding—the study method that transforms raw input into retrievable knowledge through targeted questions, meaningful links, and prior knowledge activation.
A research-backed method for solving physics problems effectively, from decoding to reflection.
Highlighting feels active but doesn't build recall or transfer. Here's why it fails—and what to do instead that actually improves learning.
Hint and Try blends pretesting, worked-example hints, self-explanation, and posttesting to accelerate learning without wasting time stuck or copying solutions.
Stop making 'one fact' flashcards. Learn how to use Anki for elaborative encoding, retrieval practice, and self-explanation in physics and math—and when a dedicated system starts to make more sense.
Use AI and ChatGPT to learn physics and math faster—by strengthening elaborative encoding, retrieval practice, self-explanation, and problem solving instead of replacing them.
Cut passive input, highlighting, and note-copying. Replace them with the four core learning strategies—elaborative encoding, retrieval practice, self-explanation, and problem-solving.
Interleaving beats blocking. Learn what interleaving is, why it works, and exactly how to mix topics and problem types to maximize long-term learning.
Unisium is not a homework solver or video library. It’s for students who want to master physics and math, perform on exams, and are willing to think, try, fail, and improve.
Evidence-based learning research: ACT-R, retrieval practice, spacing, interleaving, self-explanation. Curated readings behind Masterful Learning.
Learning styles, talent, perfect explanations, and neat notes sound comforting—but they quietly wreck your progress in math and physics. Here’s what the research says—and what to do instead.
Most exam prep in math and physics builds either note-based knowledge or blind calculation habits. Learn what written exams test, why your current strategies stall, and how to prepare instead.
From evolution and religion to anime and cognitive science, learn why names have power in math and physics—and how Unisium makes you use the real vocabulary.
Note-taking during lectures teaches transcription, not understanding. Learn why this popular strategy fails and discover evidence-based alternatives that actually improve learning.
Pretesting—trying before you know—sharpens attention and upgrades encoding. Use it to amplify elaborative encoding, self-explanation, and problem solving.
Learn how to organize knowledge into powerful mental frameworks that accelerate understanding and retention through hierarchical structures and retrieval practice.
Use problem solving as a deliberate learning strategy—not just a homework chore—to convert principles into fluent skills in physics and math.
A curated collection of books spanning physics, learning science, and critical thinking - from foundational texts to cutting-edge research.
Retrieval practice makes principles fast and durable. Learn how to do it—tables, structures, flashcards, spacing, and session flow.
Transform worked examples into reliable problem-solving skill through principle-driven explanation and retrievable solution rules.
Build a weekly self-study system for math and physics using four core strategies—elaborative encoding, retrieval practice, self-explanation, and problem-solving—guided by the Unisium Study System.
Stop cramming. Spaced learning builds durable memory, better transfer, and calmer exams. Learn why spacing works—and the exact schedules to use.
Testing yourself isn't just measuring learning—it creates it. Use posttesting + spacing to lock in knowledge and move it to long-term memory.
If AI can already solve problems and write code, is there any point in learning math and physics? Yes—because deep quantitative thinking is the superpower that AI can't replace.
The study system for physics, math, & programming that works: encoding, retrieval, self-explanation, principled problem solving, and more.