Methods, media, and systems for computer-based learning

Abstract

Methods, systems, and media for computer-based learning are provided. In some embodiments, methods for leaching a student in a computer-based learning environment are provided, the methods comprising: identifying a concept to be taught to the student; accessing a learning profile for the student, wherein the learning profile identifies at least one category of content as being more successful than other categories in teaching the student; selecting content based on the student learning profile, the concept to be taught, and a categorization of the content; and presenting the content to the student.

What is claimed is: 
     
         1 . A method for teaching a student in a computer-based learning environment, comprising:
 identifying, using at least one processing device, a first concept that was learned by a first student and that is related to a second concept to be learned by the first student;   identifying, using the at least one processing device, a first type of content used to teach the first concept to the first student;   identifying, using the at least one processing device, at least one other student that learned the first concept from the first type of content;   identifying, using the at least one processing device, a second type of content through which the at least one other student learned the second concept;   selecting, using the at least one processing device, content corresponding to the second concept and the second type of content; and   causing to be presented, using the at least one processing device, the content corresponding to the second concept and the second type of content to the first student, wherein the content is part of a strategy that includes a plurality of pieces of content that are scored.   
     
     
         2 . The method of  claim 1 , wherein the type of content is at least one of video, audio, text, problem solving, and case study. 
     
     
         3 . The method of  claim 1 , further comprising automatically categorizing content. 
     
     
         4 . The method of  claim 3 , further comprising identifying a categorization for the content based on a comparison of the content to other content. 
     
     
         5 . The method of  claim 3 , further comprising identifying a categorization for content based on a comparison of the content to tags. 
     
     
         6 . The method of  claim 1 , further comprising updating a student learning profile based up an assessment. 
     
     
         7 . The method of  claim 6 , wherein the assessment is an adaptive assessment. 
     
     
         8 . The method of  claim 7 , further comprising selecting a question to be asked in the assessment based upon a previous answer. 
     
     
         9 . The method of  claim 1 , wherein:
 at least one of selecting the content and presenting the content are based on at least one of:
 the frequency with which content for the first concept was presented to the first student; and 
 the length of time in a session in which content for the first concept was presented to the first student. 
   
     
     
         10 . The method of  claim 1 , wherein selecting the content is based on the length of time the first student spends learning with a type of content corresponding to the first content. 
     
     
         11 . The method of  claim 1 , further comprising determining if pre-requisites corresponding to the content have been met by the first student before presenting the content. 
     
     
         12 . The method of  claim 1 , further comprising:
 determining a first score associated with the at least one other student learning the second concept from the second type of content; and   comparing the first score with at least one other score associated with learning the second concept.   
     
     
         13 . The method of  claim 1 , wherein the causing to be presented the content corresponding to the second concept and the second type of content to the first student, wherein the content is part of a strategy that includes a plurality of pieces of content that are scored, is a first strategy for teaching the second concept to the first student, the method further comprising:
 administering an assessment of how well the first student learned the second concept from the second type of content; and   selecting another piece of content from the plurality of pieces of content that are scored as part of a second strategy of teaching the second concept to the first student based on the first strategy.   
     
     
         14 . A non-transitory computer-readable medium containing computer-executable instructions that, when executed by a processor, causes the processor to perform a method for teaching a student in a computer-based learning environment, the method comprising:
 identifying a first concept that was learned by a first student and that is related to a second concept to be learned by the first student;   identifying a first type of content used to teach the first concept to the first student;   identifying at least one other student that learned the first concept from the first type of content;   identifying a second type of content through which the at least one other student learned the second concept;   selecting content corresponding to the second concept and the second type of content; and   causing to be presented the content corresponding to the second concept and the second type of content to the first student, wherein the content is part of a strategy that includes a plurality of pieces of content that are scored.   
     
     
         15 . The non-transitory computer-readable medium of  claim 14 , wherein the type of content is at least one of video, audio, text, problem solving, and case study. 
     
     
         16 . The non-transitory computer-readable medium of  claim 14 , wherein the method further comprises automatically categorizing content. 
     
     
         17 . The non-transitory computer-readable medium of  claim 16 , wherein the method further comprises identifying a categorization for the content based on a comparison of the content to other content. 
     
     
         18 . The non-transitory computer-readable medium of  claim 16 , wherein the method further comprises identifying a categorization for content based on a comparison of the content to tags. 
     
     
         19 . The non-transitory computer-readable medium of  claim 14 , wherein the method further comprises updating a student learning profile based up an assessment. 
     
     
         20 . A system for teaching a student in a computer-based learning environment, comprising:
 at least one processor that:
 identifies a first concept that was learned by a first student and that is related to a second concept to be learned by the first student; 
 identifies a first type of content used to teach the first concept to the first student; 
 identifies at least one other student that learned the first concept from the first type of content; 
 identifies a second type of content through which the at least one other student learned the second concept; 
 selects content corresponding to the second concept and the second type of content; and 
 causes to be presented the content corresponding to the second concept and the second type of content to the first student, wherein the content is part of a strategy that includes a plurality of pieces of content that are scored.