Description:TECHNICAL FIELD
The present disclosure relates generally to the field of data curation and more specifically, to a system and a method for curating relevant and unique data set for a user in real-time.
BACKGROUND
In today's digital age, there is a huge demand for digital resources such as digital documents, online training materials, educational videos, and the likes by individuals, business organizations, schools, educational institutions, and governmental organizations. The pandemic that wreak havoc throughout the world, further bolstered the demand for digital resources, especially, related to online training materials, videos, online assessments etc. Learning and education are one of the most important factors in today’s world, where new technologies are emerging so rapidly. One needs to keep abreast of the current and emerging technologies to enable him/her to succeed and prosper. Taking advantage of this, numerous small and medium businesses started creating and offering standard training materials to be consumed by individuals, schools, colleges, and educational institutions for a premium cost.
Conventionally, individuals, schools, colleges, and educational institutions would subscribe or license such materials, and use it to conduct online classes. The training materials can be consumed either individually or in groups in a conference call, with an instructor available to answer any questions based on the training materials. Online assessments are then undertaken by the students to judge their understanding on the various subjects, topics that have been introduced. These assessments are generally multiple-choice questions (MCQ), where a student needs to choose an answer from a choice of answers ranging from 1 to 5. The grading of these assessments have also become easier and faster, as the student selected choice is compared to a pre-defined correct choice of answer and a score assigned. However, once these assessments are completed, there is no, or little feedback provided to the students on what was the correct choice and why, to complete the learning curve. The student just proceeds with his/her next topics in their syllabus. There are no subsequent follow up sessions/materials, to aid the students with helping them understand the topics/subjects in which they scored low. They can go back and repeat the same session to help them understand better, however, the effectiveness of such repetition poses a huge question on the learning curve of a student. Thus, there is an immediate need to come up with solutions that will help the students improve their learning curve. These solutions need to be tailored/curated for the needs of each student or a small group of students and not provide a standard solution, which again might not be effective in improving the learning curve.
Therefore, in light of the foregoing discussion, there exists a need to overcome the aforementioned drawbacks associated with the conventional systems and methods for curating relevant and unique data set for users in real-time.
SUMMARY
The present disclosure provides a system and a method for curating relevant and unique data set for users in real-time. The present disclosure provides a solution to the existing problem of how to improve the learning curve of students efficiently and effectively. Further, the present disclosure provides a solution to improve the learning curve, by curating the data content specific to the needs of a student or a small group of students. An objective of the present disclosure is to provide a solution that overcomes at least partially the problems encountered in the prior art and provide an improved system and a method for curating relevant and unique data set for users in real-time.
One or more objectives of the present disclosure are achieved by the solutions provided in the enclosed independent claims. Advantageous implementations of the present disclosure are further defined in the dependent claims.
In one aspect, the present disclosure provides a system to curate a relevant and unique data set for a user. The system includes at least one server arrangement comprising at least one processing unit and at least one database arrangement in communication with the at least one server arrangement, wherein the database arrangement comprises at least one data repository. The server arrangement is configured to receive, via a network, at least one input from one or more users using an electronic device. The server arrangement then using the one or more processors assigns a score to the at least one input received from each of the one or more users. The at least one input is scored based on at least one pre-defined parameter. Then the server arrangement proceeds to rank the at least one input received from each of the one or more users based on the score of the at least one input received from a first user, and at least one input received from another user from the one or more users. It then identifies at least one data set relevant to each of the one or more users from the data repository, based on the ranking of the user input. The server arrangement then proceeds to curate in real time the at least one data set relevant to each of the one or more users based on the ranking of the user input, and wherein the curated relevant data set is unique for each user. The one or more processing unit in the server arrangement uses an adaptive continuation-passing style algorithm to rank the at least one input received from each of the one or more users. The electronic devices comprise at least one of a portable wireless communication device, a personal computer, and a kiosk machine, and provides an interactive user interface to the user. The at least one input from each of the one or more users is received in a tangible form where receiving in tangible form comprises at least one user input received using at least one optical mark recognition (OMR). The at least one user input received in the tangible form is processed by the one or more processing unit in the server arrangement using image processing and is synchronized with the server arrangement. The one or more processing unit in the server arrangement is configured to curate in real time, the at least one data set relevant to each of the one or more users, based on the ranking of the user input.
The system improves the learning curve of a user/student by identifying and curating in real-time a relevant and unique data set related to the score and ranking of the user/student. The identification of relevant data set from the data repository is based on the score and/or ranking of user input pertaining to a subject, topic, sub-topic, sub-sub-topic, level of difficulty and so on. Once the relevant data set is identified, the score and/or ranking of each individual user input pertaining to each of the subject, topic, sub-topic is utilized to curate the additional and subsequent follow up training materials, videos, study material, sessions immediately or in real-time suggested to the user/student that is unique to each user/student. The user/student can then utilize this unique and relevant suggestions, to improve on the subject, topic, sub-topic, sub-sub-topic to effectively and efficiently improve the learning curve.
In another aspect, the present disclosure provides a method for curating relevant and unique data set in real time for users. The method comprises receiving at least one input from one or more users using an electronic device. The method further comprises, using the one or more processors assigning a score to the at least one input received from each of the one or more users, where the scoring is based on at least one pre-defined parameter, ranking the at least one input received from each of the one or more users based on the score of the at least one input received from a first user, and at least one input received from another user from the one or more users. The method then identifies at least one data set relevant to each of the one or more users from the data repository, based on the ranking of the user input, and proceeds to curate in real time the at least one data set relevant to each of the one or more users based on the ranking of the user input, where the curated relevant data set is unique for each user. The method uses an adaptive continuation-passing style algorithm to rank the at least one input received from each of the one or more users. The electronic devices comprise at least one of a portable wireless communication device, a personal computer, and a kiosk machine, and provides an interactive user interface to the user. The at least one input from each of the one or more users is received in a tangible form where receiving in tangible form comprises at least one user input received using at least one optical mark recognition (OMR) and processes the received input using image processing techniques and is synchronized with a server arrangement. The method then proceeds to curate in real time, the at least one data set relevant to each of the one or more users, based on the ranking of the user input..
It has to be noted that all devices, elements, circuitry, units and means described in the present application could be implemented in the software or hardware elements or any kind of combination thereof. All steps which are performed by the various entities described in the present application as well as the functionalities described to be performed by the various entities are intended to mean that the respective entity is adapted to or configured to perform the respective steps and functionalities. Even if, in the following description of specific embodiments, a specific functionality or step to be performed by external entities is not reflected in the description of a specific detailed element of that entity which performs that specific step or functionality, it should be clear for a skilled person that these methods and functionalities can be implemented in respective software or hardware elements, or any kind of combination thereof. It will be appreciated that features of the present disclosure are susceptible to being combined in various combinations without departing from the scope of the present disclosure as defined by the appended claims.
Additional aspects, advantages, features and objects of the present disclosure would be made apparent from the drawings and the detailed description of the illustrative implementations construed in conjunction with the appended claims that follow.
BRIEF DESCRIPTION OF THE DRAWINGS
The summary above, as well as the following detailed description of illustrative embodiments, is better understood when read in conjunction with the appended drawings. For the purpose of illustrating the present disclosure, exemplary constructions of the disclosure are shown in the drawings. However, the present disclosure is not limited to specific methods and instrumentalities disclosed herein. Moreover, those in the art will understand that the drawings are not to scale. Wherever possible, like elements have been indicated by identical numbers.
Embodiments of the present disclosure will now be described, by way of example only, with reference to the following diagrams wherein:
FIG. 1 is flow chart depicting the steps involved in curating a unique and relevant data set for a user in real-time;
FIG. 2 illustrates a block diagram of the system components involved curating a unique and relevant data set for a user in real-time.
In the accompanying drawings, an underlined number is employed to represent an item over which the underlined number is positioned or an item to which the underlined number is adjacent. A non-underlined number relates to an item identified by a line linking the non-underlined number to the item. When a number is non-underlined and accompanied by an associated arrow, the non-underlined number is used to identify a general item at which the arrow is pointing.
DETAILED DESCRIPTION OF EMBODIMENTS
The following detailed description illustrates embodiments of the present disclosure and ways in which they can be implemented. Although some modes of carrying out the present disclosure have been disclosed, those skilled in the art would recognize that other embodiments for carrying out or practicing the present disclosure are also possible.

In an embodiment of the invention, a system to curate a relevant and unique data set for a user is described. The system includes at least one server arrangement comprising at least one processing unit and at least one database arrangement in communication with the at least one server arrangement, wherein the database arrangement comprises at least one data repository. The server arrangement is configured to receive, via a network, at least one input from one or more users using an electronic device. The server arrangement then using the one or more processors assigns a score to the at least one input received from each of the one or more users. The at least one input is scored based on at least one pre-defined parameter. Then the server arrangement proceeds to rank the at least one input received from each of the one or more users based on the score of the at least one input received from a first user, and at least one input received from another user from the one or more users. It then identifies at least one data set relevant to each of the one or more users from the data repository, based on the ranking of the user input. The server arrangement then proceeds to curate in real time the at least one data set relevant to each of the one or more users based on the ranking of the user input, and wherein the curated relevant data set is unique for each user. The one or more processing unit in the server arrangement uses an adaptive continuation-passing style algorithm to rank the at least one input received from each of the one or more users. The electronic devices comprise at least one of a portable wireless communication device, a personal computer, and a kiosk machine, and provides an interactive user interface to the user. The at least one input from each of the one or more users is received in a tangible form where receiving in tangible form comprises at least one user input received using at least one optical mark recognition (OMR). The at least one user input received in the tangible form is processed by the one or more processing unit in the server arrangement using image processing and is synchronized with the server arrangement. The one or more processing unit in the server arrangement is configured to curate in real time, the at least one data set relevant to each of the one or more users, based on the ranking of the user input.
The term “optical mark recognition (OMR)", refers to the automatic detection, capturing, and analysis of marked data on paper forms and/or documents. OMR is generally used collecting survey responses, grading multiple-choice exams, and processing questionnaires.
OMR works by utilizing specialized scanning devices or optical scanners equipped with optical sensors. These sensors detect and interpret marks made on predefined areas known as "bubbles" or "checkboxes" on the form. The marks are typically made using a pencil or a pen, and they are designed to be easily recognizable by the OMR system.
In another embodiment of the invention, a method for curating relevant and unique data set in real time for users is described. The method comprises receiving at least one input from one or more users using an electronic device. The method further comprises, using the one or more processors assigning a score to the at least one input received from each of the one or more users, where the scoring is based on at least one pre-defined parameter, ranking the at least one input received from each of the one or more users based on the score of the at least one input received from a first user, and at least one input received from another user from the one or more users. The method then identifies at least one data set relevant to each of the one or more users from the data repository, based on the ranking of the user input, and proceeds to curate in real time the at least one data set relevant to each of the one or more users based on the ranking of the user input, where the curated relevant data set is unique for each user. The method uses an adaptive continuation-passing style algorithm to rank the at least one input received from each of the one or more users. The electronic devices comprise at least one of a portable wireless communication device, a personal computer, and a kiosk machine, and provides an interactive user interface to the user. The at least one input from each of the one or more users is received in a tangible form where receiving in tangible form comprises at least one user input received using at least one optical mark recognition and processes the received input using image processing techniques and is synchronized with a server arrangement. The method then proceeds to curate in real time, the at least one data set relevant to each of the one or more users, based on the ranking of the user input.
The term “data repository", refers to a database or storage space that is capable of storing educational materials. Educational materials comprises online videos, pre-recorded content, online assessment questions and the likes. It should be noted that, these educational materials have associated along with the original content additional information e.g. meta-data, that provides some context to the original content stored. One of the additional information stored is the topic/subject, sub-topic, or the sub-sub-topic the original content is associated with. For example, Physics could be the main topic/subject pertaining to an original educational material content. However, it will be appreciated by people well know in the art that, there are numerous topics and sub-topics that fall under the umbrella of the main topic Physics. So each and every content is associated with information pertaining to sub-topic, then topics and then the main topic. In a broadest sense, the educational content can be associated with additional information in the form of an index or taxonomy, while being stored in the data repository.
The term “curating in real-time”, refers to a set of steps performed to identify and suggest a unique and relevant data set to each of the one or more user, based on their score/rank in real-time. The following example would clearly explain how the curation of relevant and unique data set is performed in real time. Assume we are having 2 users USER 1 and USER 2 in the same class/institution and have enrolled for the same course Mathematics as subject/topic. Now as part of the educational process, they would be introduced to various topics, sub-topics and sub-sub-topics, by way of educations materials, videos etc. Depending on the schedule of the class/institution, they would then have to take an assessment test to help the authorities properly understand their learning curve in each of the subject/topic and provide additional support to help improve their learning curve. USER 1 and USER 2, would provide their inputs to the questions posed by the assessment tool, using an electronic device of their choice. Once they have provided their inputs to all the questions posed by the assessment tool, a score and subsequently a rank is determined, based on their responses. The table below is just an illustrative example of how the scores of both USER 1 and USER 2 can be represented. It should be noted that, there are other ways to capture the score and the example should not be construed to limit the scope spirit of the invention as depicted in the claims. In an alternate embodiment, the input can also be provided in tangible form by way of an optical mark recognition system, and the scores captured.
TABLE 1
User Overall Topic score Sub – Topic 1 Score Sub- Sub topic 1 score … …
USER 1 8 7 9
USER 2 9 12 6
…
USER N
It can be easily ascertained from the above representative scores that, USER 1 needs further support in sub-topic 1 and USER 2 needs further support in sub-sub-topic 1. The invention takes these scores into consideration and then proceeds to identify and curate a relevant and unique data set, which in this case will try and cover more concepts, educational materials related to sub-topic 1 for USER 1 and sub-subtopic 1 related content for USER 2. Further, some of the topics, sub-topics can be related conceptually, such that to understand sub-subtopic 1, it becomes impervious to have understood sub-topic 1. The step of identifying will ascertain all such related topics to help the user better understand a concept fully. The information related to the related topics can also be stored in the data repository as additional information. Thus, each user would receive a relevant and unique data set, that is curated in real time, immediately after the scores have been ascertained for that particular user. Thus applicants believe such a system would be more effective and efficient in improving the learning curve of each individual student/user.
The term “tangible form”, refers to an input form that is not electronic and is recorded or input in physical form. One kind of tangible form of receiving input for assessment in educational arena is an Optical Mark Recognition (OMR) system. The users provide their inputs by way of shading the corresponding choice in a specially designed sheet to receive their inputs. Once the inputs are received , image processing techniques are used to assess the inputs provided by the users and a score determined.
FIG. 1 is flow chart depicting the steps involved in curating a unique and relevant data set for a user in real-time with respect to an embodiment of the invention. With reference to FIG. 1, at step 102 input from one or more users is received. The input is received in one embodiment using an electronic device in possession of the user. The received input is then transmitted via a network to a server arrangement. It should be noted that, considering the security concerns related to the use of electronic devices more recently, the electronic device is contemplated to be equipped with the latest security measures so as to prevent data loss and raise privacy concerns when the user is using the device. Further, in an alternate embodiment the user input can also be received in a tangible form, via an Optical Mark Recognition system (OMR). OMR is well known to a person of skill in the art and widely used and hence is not described further. At step 104, a score is assigned to the user input received. Each and every user who has provided an input is assigned a score. This score is based on a pre-defined parameter. Pre-defined parameters, can be a correct answer, score assigned to same question previously answered by another user, partial score based on a selected option. At step 106, the score assigned to each user is ranked based on comparing the score of a particular user, with the score assigned to another user and/or each of the user for whom a score is assigned. At step 108, the ranking score is used to identify a relevant and unique data set from a data repository for each of the user. Identifying, in an embodiment refers to identifying, the topics, sub-topics and related topics a particular user needs to revise or understand further to help improve his/her learning curve. At step 110, the identified relevant and unique data set is curated on real-time, immediately after the scores are ascertained and data set identified.
It should be noted that, the ranking of the score is performed using the Continuation-Passing Style (CPS) technique. The CPS converts a program into a form where every computation result is explicitly passed as a parameter to a continuation function, which represents the next step in the program's execution. The basic idea behind CPS is to avoid using the stack for maintaining the execution context. Instead of using the stack to keep track of function calls and return addresses, CPS transforms a program into a sequence of function calls, each passing the result to the next function as a parameter. This allows for a more explicit and flexible control flow. However, CPS can introduce additional complexity and so used in specific situations where explicit control flow is needed, such as the case with this invention.
FIG. 2 illustrates a block diagram of the system components involved curating a unique and relevant data set for a user in real-time. With reference to FIG 2, there is shown a system 200 comprising users 202. The users 202, utilizing their respective electronic devices 204 and 206, provide input that is captured by the electronic device. These inputs are then shared with a server arrangement 208, via a network 206. The server arrangement is connected to a data repository 210.
The users 202, utilize electronic devices 204, 206, to provide input to the questions posed by the assessment tool. The electronic device comprises at least one of a portable wireless communication device, a personal computer, and a kiosk machine, and wherein the electronic device is configured to provide an interactive user interface to each of the one or more users. The response of the users can be stored in a memory storage of the electronic device. Alternatively, the responses can be sent via a network 208, to a server arrangement 210. Once the responses have been received by the server arrangement, using one of the processing units available in the server arrangement, the server arrangement assigns a score to each user input based on pre-defined parameters, ranks the score based on the responses received from other users, identifies topics/sub-topics that are unique and relevant to each of the users and curates in real time, a unique and relevant dataset for each user. This curated unique and relevant dataset is transmitted back to each user, via the network. The advancements in technology give rise to new devices and interfaces that continue to emerge, enhancing the ways in which users interact with electronic systems and services. Smartphone, tablets, laptops, POS, Wearable devices, Game consoles, portable wireless communication devices are examples of some types of electronic devices.

In the present examples, the processing arrangement may include components such as memory, a processor, a network adapter and the like, to store, process and/or share information with other computing components, such as, a user interface, a user device, a remote server unit, a database arrangement. Optionally, the processing arrangement includes any arrangement of physical or virtual computational entities capable of enhancing information to perform various computational tasks. Further, it will be appreciated that the processing arrangement may be implemented as a hardware processor and/or plurality of hardware processors operating in a parallel or in a distributed architecture.

It will be appreciated that, data repository refers to any type of storage system that is currently being used to store large amounts of data. One such storage system is cloud storage, where data is stored and managed on remote servers, typically provided by a third-party cloud service provider. Instead of storing data on local storage devices, cloud-based storage allows users and organizations to store their files, documents, and other data in a virtual storage environment accessible over the internet. General advantages of cloud-based storage is remote storage, scalability, easy of access, data redundancy and security among other benefits. Most common cloud storage providers include Amazon Web Services (AWS) S3, Microsoft Azure Blob Storage, Google Cloud Storage. These providers offer different storage options, pricing models, and additional features, catering to a wide range of storage needs for individuals and businesses.
Modifications to embodiments of the present disclosure described in the foregoing are possible without departing from the scope of the present disclosure as defined by the accompanying claims. Expressions such as "including", "comprising", "incorporating", "have", "is" used to describe and claim the present disclosure are intended to be construed in a non-exclusive manner, namely allowing for items, components or elements not explicitly described also to be present. Reference to the singular is also to be construed to relate to the plural. The word "exemplary" is used herein to mean "serving as an example, instance or illustration". Any embodiment described as “exemplary” is not necessarily to be construed as preferred or advantageous over other embodiments or to exclude the incorporation of features from other embodiments. The word "optionally" is used herein to mean "is provided in some embodiments and not provided in other embodiments". It is appreciated that certain features of the present disclosure, which are, for clarity, described in the context of separate embodiments, may also be provided in combination in a single embodiment. Conversely, various features of the invention, which are, for brevity, described in the context of a single embodiment, may also be provided separately or in any suitable combination or as suitable in any other described embodiment of the disclosure.
, Claims:CLAIMS
1. A method (100) of curating a relevant and unique data set for a user, the method comprising:
- receiving (102), from an electronic device, at least one input from one or more users;
- assigning (104), a score to the at least one input received from each of the one or more users, wherein the at least one input is scored based on at least one pre-defined parameter;
- ranking (106), the at least one input received from each of the one or more users based on the score of the at least one input received from a first user and the score of at least one input received from another user
- identifying (108), a data set relevant to each of the one or more users from a data repository, based on the ranking of the user input, and;
- curating in real time (110), at least one data set relevant to each of the one or more users based on the ranking of the user input, and wherein the curated relevant data set is unique for each user.
2. The method (100) as claimed in claim 1, wherein the method steps are performed by one or more processing units in a server arrangement using an adaptive continuation-passing style algorithm to rank the at least one input received from each of the one or more users.
3. The method (100) as claimed in claim 1, wherein the electronic device comprises at least one of a portable wireless communication device, a personal computer, and a kiosk machine, and wherein the electronic device is configured to provide an interactive user interface to each of the one or more users.
4. The method (100) as claimed in claim 1, wherein the at least one input from each of the one or more users is received in a tangible form and wherein the tangible form comprises the at least one user input received using at least one optical mark recognition.
5. The method (100) as claimed in claim 4, wherein the at least one user input received in the tangible form is processed by the one or more processing unit in the server arrangement using image processing, and wherein the processed user input, received in the tangible form, is synchronized with the server arrangement.
6. The method (100) as claimed in claim 1, wherein the one or more processing unit in the server arrangement is configured to curate in real time the at least one data set relevant to each of the one or more users, based on the ranking of the user input.
7. A system (200) to curate a relevant and unique data set for a user, wherein the system comprises:
- at least one server arrangement (210) comprising at least one processing unit;
- at least one database arrangement (212) in communication with the at least one server arrangement, wherein the database arrangement comprises at least one data repository;
wherein the server arrangement is configured to:
- receive, via a network (208), at least one input from one or more users (202) using an electronic device (204, 206);
- assign a score to the at least one input received from each of the one or more users, wherein the at least one input is scored based on at least one pre-defined parameter;
- rank the at least one input received from each of the one or more users based on the score of the at least one input received from a first user, and at least one input received from an another user;
- identify at least one data set relevant to each of the one or more users from the data repository, based on the ranking of the user input, and;
- curate in real time the at least one data set relevant to each of the one or more users based on the ranking of the user input, and wherein the curated relevant data set is unique for each user.
8. The system (200) as claimed in claim 7, wherein the one or more processing unit in the server arrangement uses an adaptive continuation-passing style algorithm to rank the at least one input received from each of the one or more users.
9. The system (200) as claimed in claim 7, wherein the electronic device comprises at least one of a portable wireless communication device, a personal computer, and a kiosk machine, and wherein the electronic device is configured to provide an interactive user interface to the user.
10. The system (200) as claimed in claim 7, wherein the at least one input from each of the one or more users is received in a tangible form and wherein the tangible form comprises the at least one user input received using at least one optical mark recognition.
11. The system (200) as claimed in claim 10, wherein the at least one user input received in the tangible form is processed by the one or more processing unit in the server arrangement using image processing, and wherein the processed user input, received in the tangible form, is synchronized with the server arrangement.
12. The system (200) as claimed in claim 7, wherein the one or more processing unit in the server arrangement is configured to curate in real time, the at least one data set relevant to each of the one or more users, based on the ranking of the user input.