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leveling [2022/09/23 22:57] – [Calculate level of all words in the dictionary] jhagstrandleveling [2023/01/12 11:08] (current) – removed jhagstrand
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-====== Mai Leveling ====== 
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-===== Recommendation ===== 
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-A typical recommendation engine would choose stories with similar content. 
-We leave that to the student to judge by reading the story titles. 
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-Leveling is one of the tools we use. 
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-student: vocabulary size, average level \\ 
-each story: average level, number of mastered words, number of new words, ratio, total number of words 
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-find stories with words that the student should know by now to be at this level. 
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-Goal.  Introduce vocabulary to the student gradually, more common words first, more advanced words later. \\ 
-Always reinforcing and building upon what the student already knows. 
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-totally wrong.  stories are recommended based on specific vocabulary comparison of known and unknown words. 
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-leveling is a vague way of sorting stories and words and students and choosing what to offer to the student next. 
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-the level of a student can be used to as motivational, but would be better to just use size of mastered vocabulary. 
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-controlled vocabulary.  stories or paragraphs can be designed with specific level of words. 
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-The goal of leveling is to recommend appropriate stories to a student depending on his vocabulary.  An appropriate story is one that has many known words and a few new words.  (Coach and student are expected to sometimes override these recommendations and instead choose stories based on the student's interest in the subject matter.) 
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-The "level" of a word is an index from 1 to 100. \\ 
-A lower level indicates a more common word. \\ 
-A higher level is more advanced, rarely-used word. 
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-The level of a story is the weighted average of the levels of all the words used in the story. 
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-The levels of words and stories are re-calculated on the server once each day. 
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-The level of a student is the average level of all the mastered words in his vocabulary. 
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-===== Calculate level of all words in the dictionary ===== 
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-  - Make the mean-table in memory with an entry for every word/mean in the dictionary.  Each entry in the table contains word, mean, old-count, old-level, new-count, new-level. 
-  - Read all the stories.  For each: 
-    * open the consolidated words field into an array 
-    * (the number of loc items in the array is the use-count for that word/mean) 
-    * add the use-count to the new-count in the master word table 
-  - Loop thru the mean table saving lowest and highest use-count. 
-  - Loop thru the mean table again.  For each entry: 
-    * calculate and set the level for the mean, by interpolating an index from 1 to 100 as follows: 
-      * level = 100 - (use-count * (high-low)/high) 
-      * max/min : 1/100 
-      * freq/max-min = 100-level/100 
-      * 100 * (freq/max-min) = 100-level 
-      * level + (100 * (freq/max-min)) = 100 
-      * level = 100 - (100 * (freq/max-min)) 
-    * Update mean table record setting count and level if changed. 
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-===== Calculate level of all stories ===== 
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-  - Read all stories.  For each: 
-    * open the consolidated words field into an array 
-    * get the level of each word from the dictionary 
-    * save total-use-count 
-    * save total-level as level*use-count 
-  -  Calculate average-level. 
-    * average-level = total-level / total-use-count 
-    * update the story record, setting level 
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-For each story 
-  * Num words 
-  * Num uniques 
-  * Avg level 
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-For each story per student 
-  * Num mastered 
-  * Num new words 
-  * Num working 
-  * % new / uniques 
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-Calc avg level for each user 
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-New table, story-user 
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leveling.1663988275.txt.gz · Last modified: 2022/09/23 22:57 by jhagstrand

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