Closed GoogleCodeExporter closed 9 years ago
Original comment by mrlhwlib...@gmail.com
on 18 Mar 2012 at 6:21
Original comment by mrlhwlib...@gmail.com
on 18 Mar 2012 at 6:22
To get an idea of what the message was about, I copied the text into
translate.google.com:
Author Hello,
Spent ANYMEMO some time. Before using the WM system is used when no tigers Fun
word back.
Refresher on how to improve the efficiency of the software, I had to mention
that the author of the software such a proposal, but now they want to share
with you the idea to see if there are to achieve viability.
•
I actually tested a similar supermemo This type of software to my memory
efficiency is 200 words per day, but the latter part of the review quite
time-consuming, because each word must be to review individual look and score.
•
In contrast, although not like the books back word memory software calculated
for each word as accurate review time, but compared to the memory software
there is a great advantage is that you can Yimushihang large tracts of mind,
especially memorized review words, remember the words are swept away, do not
remember the eye positioning quickly while back word software used on most of
the time actually spent waiting on, spent the tedious operation.
This is why more people in the back when the GRE vocabulary prefers to use such
books Yang Peng 17 days in combination with a similar approach to the review of
the word back. You and I are over people, I believe this point you are also
deep.
•
So I think our memory software in addition to regular review by one, you also
need to add a "quick learning mode." On one page review time according to the
order of words in the list displays the specified number of words (by swiping
up or down to navigate entire list ..) the entire page design itself can
anymemo similar effect diagram UI (Note: renderings are based on no tiger Fun
word back designed).
•
In the review, they can quickly place the election you have forgotten the words
below view detailed explanation of the point is to pronounce the word itself,
the point is to jump to the normal detailed review of the card (not viewed in
bold, viewed becomes into a fine traditional characters), etc. After a browse
list, directly point at the bottom of all remember to complete the remaining
pages of this review it.
Through this approach, we use our limited time in the body of an unknown word,
without having to understand the words to do anything to save a lot of time, is
a paper book review experience the perfect combination of software and memory.
• In fact, this quick method has been widely used in the RSS reader being,
and you can your android phone installed with a google
reader and subscribe to experience some of the content. should be able to
understand what I present here a list of the advantages of review mode.
I want to know whether you have developed interest in this idea, if anything,
ready to welcome you to this review model for a more in-depth discussion.
Limited time this email directly written in Chinese.
Original comment by caviness...@gmail.com
on 23 Jun 2013 at 3:27
Oh yea, I like the basic idea of using list mode to do some learning.
Personally, I'd like to get it working like this:
1. User can mark already learned card in the list.
2. User can mask the answer and click to reveal.
3. User can filter out the already learned card in the list.
I don't know if it makes sense for you. I'd like to keep implementation simple
and works for most of the users.
Original comment by mrlhwlib...@gmail.com
on 25 Jun 2013 at 3:25
This is done in today's nightly build.
Original comment by mrlhwlib...@gmail.com
on 18 Dec 2013 at 7:55
Original issue reported on code.google.com by
mrlhwlib...@gmail.com
on 18 Mar 2012 at 6:16