The present invention relates to system and method for advanced learning. Particularly, the present invention discloses a method and system that facilitates learning system providing specialized, customized, or content specific problem resolution.
It is a well-known fact that not everybody learns in the same manner. Some people learn better visually, others learn better audibly, and yet others learn better through participation in exercises that require the person to do or perform some activity. Therefore, teachers apply plurality of techniques to improvise the learning habits and improve the learning of the students based on their ability to learn.
Traditional Technology-Enhanced Learning (TEL) systems offer very few strategies for the personalization of educational offerings. This limits the scope for providing effective TEL experiences to students. Recent developments in technology, coupled with the growing availability of low-cost or no-cost educational materials of high quality (e.g., open content) have made it possible to develop powerful, yet potentially widely available technology enhanced learning environments (TELE). Growing enhancements are providing supportive and instructional system to students. The TEL environments deliver instructional content and provide a platform designed to support student learning.
Adaptive educational hypermedia systems (AEHS) have been developed to address learner dissatisfaction by attempting to personalize the learning experience. This adaptivity is based upon various characteristics of the learner, including knowledge level, goals, or motivation. The purpose of such adaptive educational offerings is to maximize learner satisfaction, learning speed (efficiency) and educational effectiveness.
The cited prior art document U.S. Pat. No. 7,454,386B2 discloses a learning management system including a content storage unit for storing learning content, a user modeling unit in signal communication with the content storage unit and having a user model, a personalization unit in signal communication with the content storage unit for personalizing the learning content stored in the content storage unit in response to the user model, and a user interface in signal communication with the content storage unit for enabling a user to interact with the learning management system, wherein the learning management system delivers content responsive to user interaction with the learning management system. However, the cited prior art document only enlists about the process of adaptive learning and does not disclose about solving a mathematical or any problem related to a subject entered by a user. Further in the cited prior art document personalizing the content in terms of pace and content is not possible as it relates to pre-recorded/pre-stored content.
Therefore, keeping in view of the problems associated with the state of the art, there is a need for learning system that provides truly specialized, customized, personalized, or content specific problem solving to the user.
The primary objective of the present invention is to provide a specialized and customized automated learning system.
Yet another objective of the present invention is to provide a hyper-personalized learning system utilizing artificial intelligence, proprietary machine learning algorithms and components of optical character recognition and text to speech.
Yet another objective of the present invention is to provide an audio-visual aided learning module and material.
Another objective of the present invention is to provide a system that facilitates interaction between a user and the learning system.
Yet another objective of the present invention is to provide learning system embodied either in any communication device or in any handheld playback device with a display unit.
Yet another objective of the present invention is to provide a learning system which not only helps the user to solve mathematics related problems, but also to make them proficient in providing analytical solution to such problems.
Other objectives and advantages of the present invention will become apparent from the following description taken in connection with the accompanying drawings, wherein, by way of illustration and example, the aspects of the present invention are disclosed.
The present invention will be better understood after reading the following detailed description of the presently preferred aspects thereof with reference to the appended drawings, in which the features, other aspects and advantages of certain exemplary embodiments of the invention will be more apparent from the accompanying drawing in which:
The present invention relates to a method and system that facilitates online education system providing specialized, customized, or content specific problem solving. The system further facilitates a complete learning application with three integrated components—learning, assessment and revision, each component being hyper-personalized to the finest level. The hyper-personalized learning system is designed using proprietary machine learning algorithms and components of optical character recognition and text to speech. Further, at least three components of the integrated learning system not only learns about a student's current proficiency level through student's interactions with itself, but also utilize the learning from other components. This improves effectiveness of each component, no matter which component is being used by a student.
The learning component is hyper-personalized so that it can explain solution to any problem posed to it and can adjust the pace and content of the explanation to a level which is comfortable for a student to grasp/understand. The assessment component is also hyper-personalized so that it starts off with problems at a level of difficulty which is comfortable for a student to solve. The student is then gradually challenged with more difficult problems. The hyper-personalized revision module is used by a student closer to a test or examination and allows the student to specify what kind of problems they want to revise. The learning system works as a personal tutor for a student, anytime they want and for as long as they want. The learning system is available as an application (app) which can be used on any communication device.
The following detailed description and embodiments set forth herein below are merely exemplary out of the wide variety and arrangement of instructions which can be employed with the present invention. The present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. All the features disclosed in this specification may be replaced by similar other or alternative features performing similar or same or equivalent purposes. Thus, unless expressly stated otherwise, they all are within the scope of the present invention.
Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope of the invention. In addition, descriptions of well-known functions and constructions are omitted for clarity and conciseness.
The terms and words used in the following description and claims are not limited to the bibliographical meanings but are merely used to enable a clear and consistent understanding of the invention. Accordingly, it should be apparent to those skilled in the art that the following description of exemplary embodiments of the present invention are provided for illustration purpose only and not for the purpose of limiting the invention.
It is to be understood that the singular forms “a”, “an” and “the” include plural referents unless the context clearly dictates otherwise.
It should be emphasized that the term “comprises/comprising” when used in this specification is taken to specify the presence of stated features, integers, steps or components but does not preclude the presence or addition of one or more other features, integers, steps, components or groups thereof.
It should further be noted that any reference signs do not limit the scope of the claims, that the example embodiments may be implemented at least in part by means of a hardware, and that several “means”, “units” or “devices” may be represented by the same item of hardware.
In accordance with the present invention the learning system is completely automated and integrates all aspects of learning. The learning system of the present invention is based on adaptive educational hypermedia systems.
In an exemplary embodiment of the present invention the learning system is available to school or college school students to improve their proficiency in the subject of mathematics and related subjects. It has been observed that school or college students learn their basic concepts and formulae of mathematics in class, but when it comes to solving story sums or word problems described in English (or any other language for that matter), the students are not able to map the English description of a problem to the mathematics concepts they have learnt. Whereas the learning system described herein puts solving the word problems at its core and develops a complete learning system around this core concept.
In an exemplary embodiment of the present invention, the learning system provides solution to mathematics related problems put forth to it, through artificial intelligence, machine learning, and algorithms to the teacher, student, guardian, or any other user.
In accordance with the present invention, the learning system is any communication device or handheld device, which facilitates downloading and installing of said learning system application. The said handheld device is at least provided with display, camera, microphone, and speaker. The components of the communication device are discussed herein in detail:
In accordance with the present invention, the learning system uses Artificial Intelligence and machine learning algorithms to automatically generate an audio-visual explanation to the problem presented to it. Since an audio-visual explanation is generated on the fly, it can be completely hyper-personalized for pace and content for every learner. The hyper-personalization is governed by various parameters that the system learns about a particular person as the person interacts with the system. The implementation of the invention is available on any communication device to students. The software module of the present invention includes the following components:
In accordance with the present invention at least all the three modules, explainer/problem solver, assessment, and revision, are integrated such that each module uses parameters learned during user interaction with other modules for it's own hyper-personalization.
In an exemplary embodiment of the present invention hyper-personalized learning system includes at least three basic components as illustrated in
(a) Explainer Module—Basic Concepts Learning and Problem-Solving Module
(b) Assessor—Assessments/Practice Module
(c) Revisor—Revision Module
A user must be able to specify what they want to revise
In accordance with the present invention main goal of the learning system is not only to help users solve mathematics related problems, but also to make them proficient in providing analytical solution to such problems.
In accordance with the present invention a user's typical interaction with the learning system is illustrated in
In accordance with the present invention the Explainer module is the most important and core module of this learning system. An overview of the Explainer module is illustrated in
In accordance with the present invention
In accordance with the present invention
These choices provide control to the student and allows the learning system to arrive at hyper-personalized explanations suitable to that particular student.
In accordance with the present invention replaying a solution at a slower pace does not imply just re-playing a video at a slower speed. The learning system uses methods of scaffolding and handholding to modify pace and content such that the explanation gets easier. These techniques are:
These choices provide control to the student and allows the learning system to arrive at hyper-personalized explanations suitable to that particular student.
In accordance with the present invention the hyper-personalization techniques used are classified as follows:
1) Default Hyper-Personalization Techniques
The default hyper-personalization techniques are used by the learning system without learning any parameters from user interactions. These are,
2) Interaction-Based Hyper-Personalization Techniques
These hyper-personalization techniques are derived from student's interactions with the learning system. These are,
In accordance with the present invention the Explainer module is the core module of the learning system. We have described various features of the Explainer module so far. We now explain the technical details of the machine learning algorithm used to generate an explanation of any problem on-the-fly and the manner in which hyper-personalization is done.
In accordance with the present invention the block diagram of the explanation generation in the Explainer module is illustrated in
In accordance with the present invention the assessment module can be described with the help of
In accordance with the present invention at some point of time in future, the Assessor module will evaluate the final answer and intermediate steps by pointing device camera to the solution on paper that the student has worked out.
In accordance with the present invention as a student starts using the Assessor module, it uses the parameters derived during interactions in Explainer module for personalization. As a student spends more time on Assessor module, more parameters are derived for better personalization. The purpose of hyper-personalization during assessment is to start assessment at a level of difficulty which is comfortable for the student and then gradually increase the level of difficulty. The assessment personalization parameters and their interpretations are explained in the following.
The assessment module starts with asking questions at a level of difficulty which is comfortable for a student and then gradually challenges the student with more and more difficult assessment questions. Further, many of the interactions in the assessment module are used for hyper-personalization of the Explainer module as well, as a student moves between the Assessor and the Explainer modules.
3) Revisor—Revision
The Revisor for revision module is used by a student closer to a test or examination. This module is used for quick refresh of key concepts of specific topics. The revision refresher is presented as a short and quick audio-visual explanation, outlining the key concepts and steps to solve a problem. A student has multiple options of personalizing the problems that they want to revise.
While this invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, is intended to cover various modifications and equivalent arrangements included within the scope of the appended claims.
Number | Date | Country | Kind |
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202011054554 | Dec 2020 | IN | national |
Filing Document | Filing Date | Country | Kind |
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PCT/IB2021/061357 | 12/6/2021 | WO |