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Asked 157 months ago by
ribenguniang
I've a question concerning how progress is computed with your app.
This question has been viewed 22 times.
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Thinking about it you are right, we should not move on with the sleeping time if there were obvious difficulties in passing the current training.
After some thought we are considering the following: Before sending to sleep we will check the way the card was trained. If during the current training session there were some \'Do not know\' the idea would be not to increase the sleeping time further, rather keep it as it was and make sure that the training modes which included some \'Do not know\' would be trained again (those modes which passed correcthy without any \'Do not know\' would not be trained in that repetition. Should a user have a problem again during the repetition of a word then we can even go further and reduce the sleeping time by half. We think that a pop-up message as you suggest would be quite interfering and prefer a \"automatic\" method - think that above described method would address your issue and even would be training mode specific (thus avoiding to show things the user would anyhow know). What do you think? |
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Hi folks,
I like the suggestion & prefer the \"automatic\" slowing down if I keep having trouble after it wakes from sleep! -Rebecca
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Hi Klaus, Actual method: XXXX <-- T --> XXX <-- T --> XXXX |
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May be the explanation given before was not clear enough.
- The proposed system will be differentiating between modes. So if you had slight difficulties when checking a word in a certain mode, then after waking up it will only show that more difficult modes. Additionally the sleeping time is adjusted (and not automatically increased). - A card either will be sleeping or waked up. If it woke up, it will be necessary to be trained in all of the relevant modes. As you may know the training sequence is random - that is both the sequence in which cards are shown is completely random, and also the mode used is random (as long as they are different that the \"Initial training mode\". - Something I did not mention here before: Based on input form other users (made about 6 weeks ago), we already have prepared to include a certain correction on the sleeping times which takes into account the overall difficulty the user had with a given word (that is the whole history the user has with training that word in the different modes and with special consideration of the the last round of training). The correction time can vary between 50% and 150% of the \'original\' sleeping time. Implementation: The above method of calculating sleeping times and handling modes which were considered \"difficult\" will be implemented on our servers - it will be done in such a way that it will be working with the newest versions of our iOS, Android, Desktop and Java Phone applications - But! the information within the app on how long a card still is sleeping and also the list of cards memorized only will be accurate after an \"Update Cards\". Informations given at the time a card goes to sleep will be right in most cases but it can not be assured. The advances method method with adjustments will be an option users will need to set in their settings page (online). We expect that we can finish the last test of that option within the next days and provide that option by first of July. |
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Hi Klaus, Well, this is really a good news, because I think that the \'long term\' memory is not trained very well at the moment. I am really excited to get the new version, as actually I am \'intensively\' leaning, and I have quite a lot of words in the 32 days level, I have not really assimilated yet. I need this new \'brake\' feature (as Rebecca calls it). As for the 150%, that would only apply if the card is trained at least in 3 modes and all of the tests passed without any one of them being considered "do not know" even once. Sorry this cannot be, it cannot be a longer waiting interval if you don't know anything. 50% would be in the case you don't know anything, while 150% would be in the case you know all modes, so actually the normal case, and this is much too long. I would say 33% to 100% is a better proportion. The 150% would only apply if you have Never! chosen a "not know",(never meaning over all the learning history of that word) so it will only apply for those cases where you actually already know the word. The doubling of time for next sleeping period is a "standard". In any case those time periods will change quite strongly form case to case based on the planned algorithm. |
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That being said I am wondering if this has been implemented yet and if not how soon do you think the new version of the software will be ready? Thanks Klaus! We are currently working on the Advanced algorithm. It still may take a couple of days to make it available (hopefully less than one week) . Once available users who would like to use the advanced algorithm can switch that on using the Settings of this website. The handling of the sleeping time will be made on the server so there will be no need to change anything on the devices. |
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Hi Kaus, I am really eager to start using this new system and was wondering how much longer till it is implemented as here you said it should be no more than 1 week away, Now it\'s been over 3 almost 4 weeks I think?
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Hi we are nor life with the new sleeping algorithm including the new function which repeats specific problematic training modes with words.
As it is a mayor change in the way cards are handled we still are in \"Beta\" mode on this. we have been testing it as thoroughly as we could but having thousands of users with potentially different situations we just want to \'warn\' that it may still have problems. To enable the new function, please go to the Settings page and select the Advanced Algorithm there. The applications will handle the modes and sleeping time correctly - but as it is calculated on the server it requires frequent \"Update Cards\". And as stated also on another Q&A seems that the calculation of sleeping cards on the App is not correct. |
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Great!! Thanks I\'ll give it a test :-) |
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Yes! From now on I will train only with the Advanced Algorithm (I hope) !!!
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