The hottest Study Techniques Substack posts right now

Good learning should be pleasurable, triggering your dopamine system.
Utilize spaced repetition to reinforce knowledge over time.
Master learning by starting with basic building blocks, spending time, applying, and teaching.

Learners do better when instructors show positive emotions. It's important for teachers to be happy or excited during lessons.
Creating your own digital flashcards helps you learn better than using pre-made ones. Making them yourself can improve your memory and understanding.
Positive energy during teaching can make students pay more attention and feel more engaged. This shows how important the instructor's mood can be for learning.

Retrieval practice helps all students remember what they learned better, whether they know a lot or a little about a topic. It involves recalling information, like through quizzes, and boosts memory retention.
Studying over spaced intervals is more effective than cramming all at once. Mixing up different subjects or topics during study sessions can also improve learning by making it more engaging.
Many college students don't realize how beneficial spacing and mixing subjects can be for their studying. Teaching them about these techniques can help them study smarter and remember better.

Balancing hobbies, family commitments, health, and career with self-study is achievable with proper time management.
Setting aside time for consistent study while juggling various obligations requires actionable steps to avoid burnout.
Creating a life structure that fosters continuous growth and learning involves implementing strategies to find time for self-improvement.

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Logs and exponents are essential for understanding time/space complexity and optimizing numerical computations. They are fundamental for advanced math and important for fields like Machine Learning.
To get good at logs and exponents, practice on Khan Academy. It offers lectures and problems to help you master the basics efficiently.
For those interested in AI/Data Science, mastering log transformations is crucial. Utilize resources like Brilliant's questions and focus on deep learning concepts involving logs to advance your skills.