Mnemosyne (software)
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| Mnemosyne | |
|---|---|
| Developed by | Peter Bienstman |
| Initial release | February 8th, 2006 |
| Written in | Python |
| OS | Windows, Linux, Mac OS X |
| Platform | Cross-Platform |
| Available in | Multi-language |
| Development status | Active |
| Genre | Accelerated Learning & Memory Software |
| License | GPL v2 |
| Website | Mnemosyne |
Mnemosyne (named for the Greek goddess of memory, Mnemosyne) is spaced repetition software developed from 2003 until the present. The software is similar to SuperMemo, commercial software developed by Piotr Wozniak.
Mnemosyne uses an early version of the SuperMemo algorithm, SM-2[1], with some modifications that deal with early and late repetitions.[2]
Proponents of spaced repetition software claim that by allowing algorithmic scheduling of learning reviews, long-term memorization of items is aided.
Mnemosyne also voluntarily collects data from its users. This data is made freely available and is a research project on long-term memory.
Contents |
[edit] Features
- Supports pictures, sound, HTML, and LaTeX
- Can be installed on a USB key
- Allows for categorization of cards
- Keeps statistics on a user's progress
[edit] Software implementation
Mnemosyne is written in Python, which allows for its use on Microsoft Windows, Linux, and Mac OS X. Users of the software usually make their own database of cards, although some pre-made databases are available.
Each day, the software displays each card that is scheduled for repetition. The user then grades their recollection of the card's answer on a scale of 0-5. The software then schedules the next repetition of the card in accordance with the user's rating of that particular card and the database of cards as a whole. This produces an active, rather than passive, review process.
[edit] See also
[edit] References
[edit] External links
- Mnemosyne project website
- Review of Mnemosyne and comparison with other open source memory software
