Core Courses (Free/Audit)
- https://www.coursera.org/learn/learning-how-to-learn (Learning How to Learn: Barbara Oakley, 19 hours, 5M+ enrolled)
- https://www.coursera.org/learn/mindshift (Mindshift: Oakley on breaking obstacles)​
- https://www.coursera.org/learn/scienceofwellbeing (Yale Science of Well-Being, learning focus)​
- https://codesignal.com/learn/paths/learning-how-to-learn (CodeSignal with Oakley techniques)​
- https://www.open.edu/openlearn/free-courses (Open University free learning courses)​
- https://barbaraoakley.com/dr (Oakley’s free full Learning How to Learn version)​
Books & Summaries (Free Excerpts/Summaries)
- https://mindmylearning.com/blog/make-it-stick-book-summary (Make It Stick: Retrieval, spacing, interleaving)​
- https://pdfdrive.com.co/make-it-stick-pdf (Make It Stick full PDF/science of learning)​
- https://www.academia.edu/64985110/A_mind_for_Numbers_Barbara_Oakley_Ph_D (A Mind for Numbers: Oakley on math/science)​
- https://barbaraoakley.com (Oakley’s site: Books/resources on learning)​
- https://www.ec-undp-electoralassistance.org/index.jsp/browse/jk2JVN/Ultralearning%20By%20Scott%20Young%203.pdf (Ultralearning: Scott Young principles)​
- https://fs.blog/ultralearning (Farnam Street Ultralearning summary)​
Guides & Roadmaps
- https://www.masterhowtolearn.com/2020-02-25-how-to-learn-about-meta-learning-my-resource-list (Meta-Learning resource list: Papers/books)​
- https://www.techclass.com/resources/lifelong-learning/learning-to-learn-meta-skills-that-make-you-a-better-learner (Meta-skills: Adaptability/self-awareness)​
- https://www.datacamp.com/blog/meta-learning (Meta-learning in ML context)​
- https://uvadlc-notebooks.readthedocs.io/en/latest/tutorial_notebooks/tutorial16/Meta_Learning.html (PyTorch meta-learning tutorial)​
- https://cs.nyu.edu/shasha/outofmind/lenat.html (Doug Lenat’s Learn to Reason)​
Communities & Notes
- https://www.reddit.com/r/learnprogramming/comments/50hgic/what_i_learned_from_courseras_learning_how_to (Reddit: Oakley’s course applied to coding)​
- https://www.reddit.com/r/GetMotivated/comments/5950tm/text_i_just_finished_the_online_coursera_course (Reddit: Course summary/notes)​
- https://www.reddit.com/r/learnmachinelearning/comments/14oth9s/condensed_notes_on_meta_learning_how_to_learn (ML meta-learning notes)​
Practice Tools & Apps
- https://apps.ankiweb.net (Anki: Spaced repetition flashcards)​
- https://obsidian.md (Obsidian: Knowledge chunking/note-taking)​
- https://duolingo.com (Duolingo: Gamified learning science)​
- https://www.remnote.com (RemNote: SRS + outlining)​
Videos & Playlists
- https://www.youtube.com/user/barbaraoakley (Oakley’s YouTube: Talks/clips)​
- https://www.ted.com/talks/barbara_oakley_learning_how_to_learn (TED: Oakley’s TED Talk)​
Advanced AI/Meta-Learning
- https://www.fast.ai (Practical meta-learning for DL)​
Key Techniques
- Retrieval practice: Test yourself over re-reading​
- Spaced repetition: Review at increasing intervals​
- Interleaving: Mix topics for better retention​
- Pomodoro + diffuse mode: Focused work + breaks​
- Feynman technique: Explain simply​
Begin with Oakley’s Coursera course—it’s transformative for AI studies—then apply via Anki for your resource lists.