Spaced repetition systems (SRS) leverage the psychological spacing effect to optimize long-term retention. By strategically scheduling reviews of material based on increasing intervals, SRS aims to review information just as it's about to be forgotten. This strengthens memory traces more efficiently than cramming or uniform review schedules. While numerous SRS algorithms exist, they generally involve presenting information and prompting the learner to assess their recall. This feedback informs the algorithm's scheduling of the next review, with easier items being reviewed less frequently and harder items more frequently. The goal is to minimize review time while maximizing retention.
Spaced repetition software has significantly improved beyond simple Leitner box-like systems. Modern algorithms like Free Spaced Repetition Scheduler (FSRS) use a sophisticated mathematical model based on memory research to predict forgetting curves and optimize review timing for maximum retention. FSRS, being open-source and readily available, offers a robust and flexible alternative to proprietary algorithms, allowing for customization and integration into various platforms. It emphasizes stability (consistent recall rates), responsiveness (adapting to user performance), and maintainability (simple, understandable code), making it a powerful tool for efficient learning.
Hacker News users generally expressed enthusiasm for the advancements in spaced repetition systems (SRS) discussed in the linked article. Several commenters shared their positive experiences with specific SRS tools like Anki and Mochi, highlighting features such as image occlusion and LaTeX support. Some discussed the benefits of incorporating SRS into their workflows for learning programming languages, keyboard shortcuts, and even music theory. A few users offered constructive criticism, suggesting improvements like better handling of "leeches" (difficult-to-remember items) and more effective scheduling algorithms. The overall sentiment reflects a strong belief in the efficacy of SRS as a learning technique.
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https://news.ycombinator.com/item?id=44022225
HN users generally agree that spaced repetition is effective, with several sharing their positive experiences using Anki. Some discuss the importance of active recall and elaborative encoding for optimal learning. A few commenters suggest spaced repetition might not be suitable for all learning types, particularly complex or nuanced topics requiring deep understanding rather than rote memorization. Others mention alternative techniques like the Feynman Technique and emphasize the limitations of solely relying on spaced repetition. Several users express interest in Andy Matuschak's specific implementation and workflow for spaced repetition, desiring more detail. Finally, the effectiveness of different scheduling algorithms is debated, with some promoting alternative algorithms over SuperMemo's SM-2.
The Hacker News post titled "Spaced Repetition Memory System" linking to Andy Matuschak's notes has a vibrant discussion with a variety of comments. Several commenters share their personal experiences and perspectives on spaced repetition systems (SRS).
A recurring theme is the effectiveness of spaced repetition for learning various subjects, including languages, medical terminology, and even music theory. Some users highlight the importance of active recall and making connections between concepts rather than rote memorization, emphasizing that SRS is a tool to facilitate these processes, not a magic bullet. They advise against simply copying and pasting information into flashcards without understanding the underlying principles.
Several commenters discuss specific SRS software and their preferred features. Anki is frequently mentioned and praised for its flexibility and customizability. Some users advocate for simpler systems or even physical flashcards, arguing that the complexity of some software can be a distraction. There's also discussion of alternative scheduling algorithms and techniques for optimizing the spaced repetition process.
Some commenters express skepticism about the long-term benefits of SRS, questioning whether the knowledge acquired is truly retained or just temporarily accessible. Others raise concerns about the potential for burnout and the time commitment required to maintain a large collection of flashcards. The idea of "forgetting curves" and their practical implications is also debated.
One commenter offers a nuanced perspective, suggesting that SRS is most effective for foundational knowledge that serves as a building block for more complex understanding. They argue that it's less suitable for learning higher-level concepts that require deeper engagement and synthesis. Another user points out the importance of integrating spaced repetition into a broader learning strategy, emphasizing the need for varied learning methods and active application of knowledge.
The discussion also touches on the psychological aspects of SRS, with commenters discussing the motivating effect of seeing progress and the potential for gamification. Some users share tips for effective card design and strategies for avoiding procrastination. The limitations of SRS for certain types of learning, such as practical skills or creative endeavors, are also acknowledged.
Overall, the comments section offers a rich and informative discussion about the practical applications, benefits, and drawbacks of spaced repetition systems, with many users sharing their personal experiences and insights. The general consensus seems to be that SRS can be a powerful tool for learning and memorization, but its effectiveness depends on how it's implemented and integrated into a broader learning strategy.