Re: New module: org-learn, incremental reading

[Huang Tao <htbest2000@gmail.com>]

Well done! It frees me from the fully hand schedule stuff.

but i got something wrong while launch org-smart-reschedule:

  1. function org-entry-beginning-position and org-entry-end-position
doesn't exist
  2. variable learning-fraction doesn't exist.

I replace the org-entry-[beginning|end]-position with
org-back-to-heading and org-end-of-subtree, change the
learning-fraction to org-learning-fraction to get done(ugly, just
runnable).

Did some one has a better solution? Why I got this, my system is
too old(or new)?
my
 - Emacs version: GNU Emacs 23.1.50.1 (i686-pc-linux-gnu)
 - Org-mode version: 6.31a

Thanks.



On Wed, Oct 21, 2009 at 4:53 PM, John Wiegley <jwiegley@gmail.com> wrote:
> The attached file, when loaded, provides two new commands:
>
>  M-x org-smart-reschedule
>  M-x org-agenda-smart-reschedule
>
> The latter being only for the *Org Agenda* buffer.
>
> You should use these commands on a scheduled entry, with state logging
> enabled for the DONE state.  It then reschedules the item to a future date
> based on the "SM-5" algorithm and a quality factor you are prompted for.
>
> To summarize the SM-5 algorithm:
>
>  1. After you read an item on the scheduled day, you hit M-x
> org-smart-reschedule.
>
>  2. You are then asked how well you remember what you just read, from 0-5:
>
>     5 - perfect response
>     4 - correct response after a hesitation
>     3 - correct response recalled with serious difficulty
>     2 - incorrect response; where the correct one seemed easy to recall
>     1 - incorrect response; the correct one remembered
>     0 - complete blackout.
>
>  3. If your answer is 4 or 5, the item will not be repeated.  If it is
> anything
>     else, the item is rescheduled, to be read again on a future date.
>
>  4. Based on the quality of your response, AND the number of times you've
> read
>     the item so far, the amount of time being reschedulings will vary.  If
> your
>     retention is good, the gaps grow wider; if it is poor, they grow
> shorter.
>
>  5. Your "learning data" is kept in a special property called :LEARN_DATA:.
>  Do
>     not modify this, as it controls how the algorithm reschedules after
> future
>     repetitions, and based on past quality responses.
>
> More about this algorithm can be read here:
> http://www.supermemo.com/english/ol/sm2.htm.
>
> This contribution is made in honor of Russell Adams, who drove all the way
> to New Jersey from Kennedy airport to visit me today, and who brought up the
> idea of implementing it, based on an earlier proposal by Pere Quintana Seguí
> (http://article.gmane.org/gmane.emacs.orgmode/17781).
>
> John
>
>
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