Systems and methods for analyzing learner's roles and performance and for intelligently adapting the delivery of education

Abstract

A computer-aided educational system and method to further a student's understanding of a subject matter through analyzing data captured in an electronic learning system so as to determine correlation data corresponding to variables or trends which are determined to enhance, optimize, and / or improve one's learning abilities or understanding of educational content. The system and method generates reports based on the correlation data, develops statistical models that highlight learning and behavioral trends, and / or provides recommendations for adapting the learning system based on the correlation data and statistical models.

Description

RELATED APPLICATIONS[0001]This application claims the benefit of U.S. Provisional Patent Application Ser. No. 61 / 363,605 filed Jul. 12, 2010 and entitled “SYSTEMS AND METHODS FOR ANALYZING LEARNER'S ROLES AND PERFORMANCE AND FOR INTELLIGENTLY ADAPTING THE DELIVERY OF EDUCATION”, the entire contents of which are hereby incorporated by reference herein for all purposes.FIELD[0002]The embodiments herein relate to the field of electronic learning, and in particular to systems and methods for analyzing information relating to an organization and its members so as to report on various trends or measurables. In addition, the systems and methods adapt the delivery of organizational programs or education based on the analyzed trends and measureables so as to enhance the effectiveness and / or efficiency of the educational delivery.INTRODUCTION[0003]Electronic learning (also called e-Learning or eLearning) generally refers to education or learning where users engage in education related activit...

AI Technical Summary

Benefits of technology

[0010]Electronic learning systems may help facilitate the capture of information or data relevant to the learning environment, the organization, and various stakeholders in the organization (e.g., administrators, instructors, students, etc.). Information relevant to these parties may be, for example, historical usage data, performance of various stakeholders, and demographic profiles of the organization and its various stakeholders. Electronic learning systems can thus store and capture organizational and stakeholder profiles which may be carried with the respective stakeholder throughout that stakeholder's career or life.

[0011]Electronic learning systems may be made more effective by analyzing at least a part of the aggregate captured data. Analysis of such data may reveal, for example, trends or measureables meeting threshold targets. Because trends and measurables may be used in predictive models, the analysis of the aggregate captured data has value in that organizations may integrate workflows or systems which react (or act in concert with) to predictive modeling.

Problems solved by technology

Despite the effectiveness of electronic learning systems, some users of an electronic learning system are unable to perform as well as their peers.

Electronic learning systems have heretofore been unable to determine the factors associated with some users poor performance, and if current educational delivery mechanisms are ineffective for such users, electronic learning systems are unable to alter the delivery mechanism on a student by student basis.

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