Best time to study Stemp subjects 🥰
Finding the sweet spot for studying STEM subjects can be a game-changer, and trust me, I've tried every method out there! After countless hours, I've finally cracked the code on not just when to study, but how to maximize each session, especially for those tricky Math and Physics problems, and even how to make my afternoon study desk work for me. For me, mornings are sacred for Math, Physics, and Computer Science. From 6 AM to 10 AM, my brain is fresh, and tackling problem sets feels less daunting. My study desk during these hours is all about focus. I ensure it's decluttered, with only my textbook, notebook, calculator, and a refillable water bottle. For Physics, I often have a small whiteboard nearby to sketch out diagrams and visualize concepts. It's not just about solving problems, but understanding the 'why' behind them, so I dedicate time to conceptual learning. If I get stuck, I don't just move on; I make a note and revisit it after a short break, or check a specific online resource I trust. This focused approach drastically improved my grasp of complex theories. Now, for my afternoon study desk routine, from 12 PM to 4 PM, I shift gears to Chemistry and Environmental Science. This is when my energy naturally dips a little, so I adapt my strategy. Instead of intense problem-solving, I focus on synthesizing information. This is where tools like Feynman AI mind maps really shine for summarizing lab content or dense readings. I make sure my desk has a bit more space for spreading out materials, maybe a small plant, and a healthy snack like nuts or fruit to keep my energy up. I've found that breaking down complex topics into visual representations helps me retain information far better than just re-reading. It feels less like 'studying' and more like 'organizing information,' which keeps me engaged during those post-lunch slumps. As for evenings, 7 PM to 10 PM is prime time for Tech revision and Coding practice. My desk setup changes slightly again; it's more about my laptop, external monitor, and a comfortable chair. This is when Feynman AI flashcards come into play for active recall. I use them to quickly test myself on coding syntax, algorithms, or key tech concepts. Practicing coding isn't just about writing lines of code; it's about debugging, understanding different approaches, and reviewing my past projects. This active engagement right before winding down helps solidify everything I've learned throughout the day, ensuring that 'YOUR TIME' spent studying is truly effective and leads to lasting knowledge.



