Methods and systems for modifying a learning path for a user of an electronic learning system

US10733898B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10733898-B2
Application numberUS-201514729472-A
CountryUS
Kind codeB2
Filing dateJun 3, 2015
Priority dateJun 3, 2015
Publication dateAug 4, 2020
Grant dateAug 4, 2020

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Abstract

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Methods and systems for modifying a learning path for a user of an electronic learning system. The methods can include: retrieving a set of learning objectives assigned to the user; retrieving the path data associated with the learning path defined for the user, the learning path including a series of actions in respect of one or more resources accessible via the electronic learning system and each action corresponds to at least one learning objective assigned to the user; receiving user response inputs from the user in respect of at least one learning objective; evaluating the received user response inputs to determine a competence level of the user in respect of the at least one learning objective, the competence level indicating a proficiency of the user with the at least one learning objective; and modifying the learning path for the user based on the competence level determined for the user.

First claim

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We claim: 1. A method for modifying a learning path for a user of an electronic learning system, the electronic learning system including a processor and a memory in electronic communication with the processor, the memory storing, at least, path data associated with a plurality of learning paths, the method comprising: receiving a resource for satisfying at least one learning objective of one or more learning objectives; sectioning content data of the resource into one or more content portions based on an analysis of at least one of the content data and one or more resource property fields of the resource, wherein the one or more resources comprises content data including text data, video data, image data, and one or more combinations thereof and a resource property field, the resource property field comprising information indicating a corresponding content structure of the content data, wherein the analysis of the one or more resources comprises obtaining the information indicating the content structure for the corresponding resource, the information indicating the content structure being obtained from the resource property field of the corresponding resource; assigning at least one content portion to at least one learning objective; retrieving, from a storage component, a set of learning objectives assigned to the user, the storage component being in electronic communication with the processor and the memory; retrieving, from the memory, the path data associated with the learning path defined for the user, the learning path including a series of actions in respect of one or more resources accessible via the electronic learning system and each action of the series of actions corresponding to at least one learning objective of the set of learning objectives assigned to the user, wherein the one or more resources are determined by the electronic learning system to be associated with the at least one learning objective based on an analysis of the one or more resources, wherein the analysis of the one or more resources comprises an analysis of one or more of a content structure, and a measure of relevance of a corresponding resource with respect to the at least one learning objective; receiving one or more user response inputs from the user in respect of at least one learning objective of the set of learning objectives; evaluating the received one or more user response inputs to determine a competence level of the user in respect of the at least one learning objective, the competence level indicating a proficiency of the user with the at least one learning objective; and modifying the learning path for the user based on the competence level determined for the user in respect of the at least one learning objective, the modifying the learning path comprising: determining whether the at least one learning objective is identified as being a mandatory learning objective; in response to determining that the at least one learning objective corresponds to a mandatory learning objective, maintaining the at least one learning objective in the learning path for the user; and in response to determining that the at least one learning objective does not correspond to a mandatory learning objective, removing the at least one learning objective from the learning path for the user. 2. The method of claim 1 , wherein, in response to determining the competence level of the user in respect of the at least one learning objective is a mastery level, modifying the learning path for the user based on the competence level determined for the user in respect of the at least one learning objective comprises: assigning the at least one learning objective with a mastery status, the mastery status indicating the user is proficient with the at least one learning objective; and modifying the learning path for the user based on a status of each learning objective. 3. The method of claim 2 , wherein assigning the at least one learning objective with the mastery status comprises: determining whether the at least one learning objective is assigned a mandatory status, the mandatory status indicating the actions in the series of actions corresponding to the at least one learning objective assigned the mandatory status are required for the user; and in response to determining the at least one learning objective is assigned the mandatory status, retaining the at least one learning objective assigned the mandatory status, otherwise, assigning the at least one learning objective the mastery status. 4. The method of claim 1 , wherein: receiving the one or more user response inputs from the user comprises receiving the one or more user response inputs via an evaluation tool accessible via the electronic learning system, the evaluation tool including one or more questions representing the at least one learning objective and one or more respective response fields for receiving the one or more user response inputs corresponding to the respective one or more questions; and evaluating the received one or more user response inputs to determine the competence level of the user in respect of the at least one learning objective comprises: for each learning objective of the set of learning objectives, generating a score for the respective one or more user response inputs; and in response to determining the generated score satisfies a mastery threshold, indicating the competence level of the user in respect of that learning objective is a mastery level, otherwise, indicating the competence level of the user in respect of that learning objective is a satisfactory level. 5. The method of claim 4 further comprises: in response to determining the generated score fails to satisfy the mastery threshold, determining whether the generated score satisfies a satisfactory threshold, the satisfactory threshold being less than the mastery threshold; and in response to determining the generated score satisfies the satisfactory threshold, indicating the competence level of the user in respect of that learning objective is the satisfactory level, otherwise, indicating the competence level of the user in respect of that learning objective is a deficient level. 6. The method of claim 1 , wherein, in response to determining the competence level of the user in respect of the at least one learning objective is a deficient level, modifying the learning path for the user based on the competence level determined for the user in respect of the at least one learning objective comprises: identifying, via the electronic learning system, one or more additional actions related to the at least one learning objective, the one or more additional actions being different from each action in the series of actions; assigning each of the one or more additional actions with a recommended indicator, the recommended indicator indicating that the respective one or more additional actions is suggested for improving the competence level of the user for the at least one learning objective; and modifying the learning path for the user to include the one or more additional action. 7. An electronic learning system comprising: a memory for storing, at least, path data associated with a plurality of learning paths; and a processor in electronic communication with the memory, the processor operating to: receive a resource for satisfying at least one learning objective of one or more learning objectives; section content data of the resource into one or more content portions based on an analysis of at least one of the content data and one or more resource property fields of the resource, wherein the one or more resources comprises content data including text data, video data, image data, and one or more combinations thereof and a resource property field, the re

Assignees

Inventors

Classifications

  • G09B7/00Primary

    Electrically-operated teaching apparatus or devices working with questions and answers (mechanically operated G09B3/00; computing arrangements G06F) · CPC title

  • Electrically-operated educational appliances (working with questions and answers G09B7/00; simulators G09B9/00; advertising or displaying in general G09F) · CPC title

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What does patent US10733898B2 cover?
Methods and systems for modifying a learning path for a user of an electronic learning system. The methods can include: retrieving a set of learning objectives assigned to the user; retrieving the path data associated with the learning path defined for the user, the learning path including a series of actions in respect of one or more resources accessible via the electronic learning system and …
Who is the assignee on this patent?
D2L Corp
What technology area does this patent fall under?
Primary CPC classification G09B7/00. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Aug 04 2020 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).