spaced-repetition | periodic table of elements

 by   TCHayes HTML Version: Current License: No License

kandi X-RAY | spaced-repetition Summary

kandi X-RAY | spaced-repetition Summary

spaced-repetition is a HTML library. spaced-repetition has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

The Periodic Repetition app provides easy learning of the periodic table of elements by implementing spaced repetition. Spaced repetition is a learning technique that incorporates increasing intervals of time between subsequent review of previously learned material in order to exploit the psychological "spacing effect". Essentially learning happens in spaced repetition much like flash cards. The information that you are more familiar with is pushed to the back of the flash card stack, while the information you are unfamiliar stays at the front so you repeatedly see it more times, therefore increasing learning. In this application we decided to apply these same principles of spaced repetition to help students learn the periodic table of elements.
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              spaced-repetition has a low active ecosystem.
              It has 5 star(s) with 0 fork(s). There are 1 watchers for this library.
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              It had no major release in the last 6 months.
              spaced-repetition has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of spaced-repetition is current.

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              spaced-repetition has no bugs reported.

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              spaced-repetition has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

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              spaced-repetition does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              spaced-repetition releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            spaced-repetition Key Features

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            spaced-repetition Examples and Code Snippets

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            Community Discussions

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            QUESTION

            Spaced repetition algorithm from SuperMemo (SM-2)
            Asked 2019-Dec-14 at 17:20

            In order to make a vocabulary practice app in Android, I want to implement the SuperMemo (SM-2) algorithm in Java. This is a popular choice for spaced repetition software and Anki even adopts it as I understand. The source code example given here was difficult (for me) to follow because of the lack of code formatting and because it is written in Delphi.

            The author of SuperMemo states:

            1. Split the knowledge into smallest possible items.
            2. With all items associate an E-Factor equal to 2.5.
            3. Repeat items using the following intervals: I(1):=1
              I(2):=6
              for n>2: I(n):=I(n-1)*EF
              where:
              I(n) - inter-repetition interval after the n-th repetition (in days),
              EF - E-Factor of a given item
              If interval is a fraction, round it up to the nearest integer.
            4. After each repetition assess the quality of repetition response in 0-5 grade scale: 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.
            5. After each repetition modify the E-Factor of the recently repeated item according to the formula:
              EF':=EF+(0.1-(5-q)*(0.08+(5-q)*0.02))
              where:
              EF' - new value of the E-Factor,
              EF - old value of the E-Factor,
              q - quality of the response in the 0-5 grade scale.
              If EF is less than 1.3 then let EF be 1.3.
            6. If the quality response was lower than 3 then start repetitions for the item from the beginning without changing the E-Factor (i.e. use intervals I(1), I(2) etc. as if the item was memorized anew).
            7. After each repetition session of a given day repeat again all items that scored below four in the quality assessment. Continue the repetitions until all of these items score at least four.

            Here are some related (but different) questions on Stack Overflow:

            How do you implement this in Java?

            (I've been working on this recently and I think I have an answer, so I am submitting this as a Q&A pair to help other people doing the same thing.)

            ...

            ANSWER

            Answered 2019-Dec-14 at 17:20
            SuperMemo algorithm

            Here are some terms that we will deal with when impementing the SuperMemo (SM-2) algorithm of spaced repetition.

            • repetitions - this is the number of times a user sees a flashcard. 0 means they haven't studied it yet, 1 means it is their first time, and so on. It is also referred to as n in some of the documentation.
            • quality - also known as quality of assessment. This is how difficult (as defined by the user) a flashcard is. The scale is from 0 to 5.
            • easiness - this is also referred to as the easiness factor or EFactor or EF. It is multiplier used to increase the "space" in spaced repetition. The range is from 1.3 to 2.5.
            • interval - this is the length of time (in days) between repetitions. It is the "space" of spaced repetition.
            • nextPractice - This is the date/time of when the flashcard comes due to review again.
            Default values

            Source https://stackoverflow.com/questions/49047159

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

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            Install spaced-repetition

            You can download it from GitHub.

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            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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