PERSONALIZED ONLINE LEARNING MANAGEMENT SYSTEM AND METHOD
First Claim
1. A method for generating student-specific online course content, said method comprising:
- generating an electronically represented student profile vector of a student based on attributes representative of one or a combination of a demographic profile, psychographic profile, learning style, personality traits, interests, social networking profile, social media interactions, online interaction characteristics, social networking circle attributes, prerequisite knowledge assessments, social profile, skill, and performance of said student, wherein said student profile vector comprises one or more of said attributes along with associated quantitative values thereof for said student;
generating an electronically represented learning objects matrix based on one or more learning objectives of at least one course, wherein each learning objective comprises a plurality of learning objects, and wherein each learning object comprises an electronically represented vector of one or more of said attributes along with weights thereof;
processing said student profile vector with said learning objects matrix for said one or more learning objectives to generate an electronically represented student-specific list of learning objects, wherein said student-specific list of learning objects is generated based on values of attributes of said student and weights of corresponding attributes of said learning objects of said learning objects matrix;
evaluating said student-specific list of learning objects to select a set of final learning objects from said student-specific list of learning objects;
assembling said final list of learning objects;
generating said student-specific online course content for said student based on the assembled final list of learning objects; and
delivering said student-specific online course content to said student through an online content transmission means.
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Abstract
A system and method for adaptive online learning management for creating and/or publishing customized, personalized, adaptive, and student-specific online course content to enable and provide an efficient learning environment to each student based on the dynamically changing self-evolving student'"'"'s profile. A student'"'"'s profile can be created based on factors such as demographic profile, psychographic profile, learning style, personality traits, interests, social networking profile, social media interactions, online interaction characteristics, social networking circle attributes, prerequisite knowledge assessments, social profile, skill, and performance of the student, wherein the student'"'"'s profile can be processed with respect to a learning object repository to generate a defined set of student-specific learning objects that best suit the profile of the student. A online course content can accordingly be generated based on the defined set of student-specific learning objects.
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Citations
41 Claims
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1. A method for generating student-specific online course content, said method comprising:
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generating an electronically represented student profile vector of a student based on attributes representative of one or a combination of a demographic profile, psychographic profile, learning style, personality traits, interests, social networking profile, social media interactions, online interaction characteristics, social networking circle attributes, prerequisite knowledge assessments, social profile, skill, and performance of said student, wherein said student profile vector comprises one or more of said attributes along with associated quantitative values thereof for said student; generating an electronically represented learning objects matrix based on one or more learning objectives of at least one course, wherein each learning objective comprises a plurality of learning objects, and wherein each learning object comprises an electronically represented vector of one or more of said attributes along with weights thereof; processing said student profile vector with said learning objects matrix for said one or more learning objectives to generate an electronically represented student-specific list of learning objects, wherein said student-specific list of learning objects is generated based on values of attributes of said student and weights of corresponding attributes of said learning objects of said learning objects matrix; evaluating said student-specific list of learning objects to select a set of final learning objects from said student-specific list of learning objects; assembling said final list of learning objects; generating said student-specific online course content for said student based on the assembled final list of learning objects; and delivering said student-specific online course content to said student through an online content transmission means. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20)
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21. A system for generating and delivering student-specific online course content for a student, said system comprising:
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a student profile vector generation module that generates an electronically represented student profile vector of said student based on attributes representative of one or a combination of a demographic profile, psychographic profile, learning style, personality traits, interests, social networking profile, social media interactions, online interaction characteristics, social networking circle attributes, prerequisite knowledge assessments, social profile, skill, and performance of said student, wherein said student profile vector comprises one or more of said attributes along with associated quantitative values thereof for said student; a first database that stores said student profile vector; an electronically represented learning object matrix creation module that creates a learning objects matrix based on one or more learning objectives of at least one course, wherein each learning objective comprises a plurality of learning objects, and wherein each learning object comprises an electronically represented vector of one or more of said attributes along with weights thereof; a second database that stores said learning objects matrix; a processing module that processes said student profile vector retrieved from said first database with said learning objects matrix retrieved from said second database for said one or more learning objectives to generate a student-specific list of learning objects, wherein said student-specific list of learning objects is generated based on values of attributes of said student and weights of corresponding attributes of said learning objects of said learning objects matrix; and a course content generation module that generates said student-specific online course content for said student based on said student-specific list of learning objects, and delivers said student-specific online course content to said student at a client device through an online content transmission means. - View Dependent Claims (22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37)
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38. A method for creating adaptive student-specific online course content, said method comprising:
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generating an electronically represented student profile vector of a student based on attributes representative of one or a combination of a demographic profile, psychographic profile, learning style, personality traits, interests, social networking profile, social media interactions, online interaction characteristics, social networking circle attributes, prerequisite knowledge assessments, social profile, skill, and performance of said student, wherein said student profile vector comprises one or more of said attributes along with associated quantitative values thereof for said student; generating an electronically represented learning objects matrix based on one or more learning objectives of at least one course, wherein each learning objective comprises a plurality of learning objects, wherein each learning object comprises an electronically represented vector of one or more of said attributes along with weights thereof, and wherein said plurality of learning objects are selected based on one or a combination of inputs from third-party content providers, content from publishers, online content, shared notes of other students, core course material, supplemental content, case studies, teacher-authored material, curated material, existing literature, student feedback, dynamically retrieved stakeholder content, and dynamically generated relevant content; processing said student profile vector with said learning objects matrix for said one or more learning objectives to generate an electronically represented student-specific list of learning objects, wherein said student-specific list of learning objects is generated based on values of attributes of said student and weights of corresponding attributes of said learning objects of said learning objects matrix; generating said student-specific online course content for said student based on said student-specific list of learning objects; adapting and updating said student-specific online course content based on one or a combination of changes in said values of said attributes for said student profile vector and changes in said weights of said attributes for learning objects of said learning objects matrix; and presenting said student-specific online course content through a communications network. - View Dependent Claims (39, 40, 41)
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Specification