Building a Contextual Flashcard App to Overcome Anki Burnout
The author shares their journey of building a new flashcard app, MindDory, after experiencing burnout with the traditional Anki approach. The app uses AI to generate contextual stories around target vocabulary to improve learning.
Why it matters
This project highlights the limitations of traditional flashcard-based learning approaches and demonstrates how AI can be leveraged to create more effective language learning tools.
Key Points
- 1Anki's isolated flashcard approach leads to rote memorization rather than true learning
- 2MindDory uses AI to embed target words in short contextual stories for better retention
- 3The hardest part was understanding why people fail at language learning, not the technical implementation
- 4Stripping features back to the core loop was key to improving user experience
Details
The author explains that while Anki's flashcard system was effective in the past, it fails to account for the importance of contextual encoding in memory formation. By simply drilling isolated word-definition pairs, the brain forms weak, isolated links rather than the deeper associations needed for real-world usage. To address this, the author built MindDory, an app that uses AI to generate short stories around the target vocabulary, allowing the words to be learned in context. The app also incorporates memory cues and spaced repetition. Building the app taught the author that the hardest part was understanding the psychology of language learning, not the technical implementation. Stripping the app back to its core functionality also proved crucial for improving the user experience.
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