WO2019049176A1

WO2019049176A1 - System and method for a technology enabled personalized and practice-based pedagogy

Info

Publication number: WO2019049176A1
Application number: PCT/IN2018/050585
Authority: WO
Inventors: Vivek Kumar VARSHNEY
Original assignee: Teevra Edutech Pvt Ltd
Current assignee: Teevra Edutech Pvt Ltd
Priority date: 2017-09-09
Filing date: 2018-09-10
Publication date: 2019-03-14
Anticipated expiration: 2020-03-09

Abstract

The embodiments herein provide a system and method for a technology enabled, personalized and practice-based learning. Current methods of teaching and learning do not enable a teacher to provide personalized feedback and inputs to most of the students. The embodiments herein provide a hybrid system of physical and virtual infrastructure 102s for personalized and practice-based learning. The virtual infrastructure 102 comprises modules and processes for enabling an automated guidance and monitoring of a personalized learning mechanism. The student's handwritten and/or digital notes and recording of classroom sessions are processed by the system for automatically preparing customized study-aid tools based on a student's requirements. An artificial intelligence engine recognizes and understands a student's notes and provides a learning map to the student. The method comprises a process to enable a customized learning method that is designed by an artificial intelligence engine based on a student's requirements.

Description

SYSTEM AND METHOD FOR A TECHNOLOGY ENABLED PERSONALIZED AND PRACTICE-BASED PEDAGOGY

CROSS-REFERENCE TO RELATED APPLICATIONS

[0001] The embodiments herein claim the priority of the Indian Provisional Patent Application with the serial number. 201721008275 and entitled, "SYSTEM AND METHOD FOR A TECHNOLOGY ENABLED PERSONALIZED AND PRACTICE BASED PEDAGOGY" filed on March 09, 2017 and subsequently Post-dated by 6 months to September 09, 2017 and the contents of which are included entirely as reference herein.

BACKGROUND

Technical Field

[0002] The embodiments herein are generally related to a system and method to enable personalized teaching pedagogy through a technology-enabled platform. The embodiments herein are particularly related to a system and method for a technology enabled, personalized and practice-based teaching pedagogy. The embodiments herein are more particularly related to a system and method that comprises artificial intelligence enabled process for personalized and practice-based teaching pedagogy.

Description of the Related Art

[0003] For centuries, the teaching methodologies have always been one-to-many and classroom lecture based where the teachers are the source of knowledge. Currently, the teacher to student ratio in most of the educational processes is ranges between 1:20 to 1:60 in India. The current situation and framework do not allow a teacher to provide much personalized feedback and inputs to most of the students.

[0004] A plurality of learning behavior research suggests that a combination of three things, including (1) personalized attention, (2) practice-based learning and (3) artificial intelligence and analytics driven insights, significantly improve the learning and academic performance of the students. Though the use of online learning applications and software provide practice and analytics to the students, there are certain inherent shortcomings associated with online learning. The shortcomings include (1) lack of interaction; (2) a lack of discussion with a teacher to clarify the doubts; and, (3) advanced automated insights to personalize the feedback and study plan for each student under the guidance of a teacher. As a result, most of the doubts for majority of the students are never addressed because they don't get opportunity and time to discuss them with the teachers. The reasons could be shyness, fear on the student's side and also the time constraints on the teacher's side. Additionally, more often than not, there is a common one-size-fits-all study plan to all the students without personalization. This eventually adversely affects the students' motivation and overall learning behavior. These shortcomings have impacted the learning and future of most of the students because they are not able to learn and perform to the fullest of their potential.

[0005] Hence, there is a need for a system for a technology enabled, personalized and practice-based teaching pedagogy. There is also a need for methods that enable an artificial intelligence driven technology enabled personalized and practice-based teaching pedagogy.

[0006] The above mentioned shortcomings, disadvantages and problems are addressed herein, which will be understood by reading and studying the following specification.

OBJECT OF THE EMBODIMENTS HEREIN

[0007] The primary object of the embodiments herein to provide a system and method for a technology enabled, personalized and practice-based teaching pedagogy. [0008] Another object of the embodiments herein to provide a system and method for personalized insights and practice-based learning that comprises an artificial intelligence enabled process.

[0009] Yet another object of the embodiments herein are to provide an online and offline hybrid model for practice-based teaching that comprises a physical infrastructure (including classroom for lecture and practice lab), an online platform and/or a technology enabled virtual infrastructure.

[0010] Yet another object of the embodiments herein are to provide a learning method of building a practice-focused learning platform that comprises a step-wise process for every question to link the key steps that influence a learning behavior customized to a student.

[0011] Yet another object of the embodiments herein are to provide a process spread over a fixed period and over multiple personalized insights to enable a customized learning method that is designed by an artificial intelligence engine based on a student's requirements.

[0012] Yet another object of the embodiments herein are to provide a technology platform that comprises multiple touch-points to consolidate the learning in steps from short- term memory to long-term memory personalized for each student.

[0013] Yet another object of the embodiments herein are to provide a system for recording a student's handwritten and/or digital notes and recording classroom sessions for automatically preparing customized study-aid tools based on a student's requirements.

[0014] Yet another object of the embodiments herein are to provide a method to decentralize a teacher's time to benefit more number of students and breakdown a practice process into multiple steps so that the teacher provides the effective inputs to each students separately, where the present system and teaching pedagogy helps the teachers in the schools and other supplementary education providers. [0015] Yet another object of the embodiments herein are to provide a system for recognizing a student's notes and/or practice performance analytics; and to provide a learning map to the student that is automatically created by an artificial intelligence engine.

[0016] Yet another object of the embodiments herein are to provide a system to intelligently identify the improvement areas of a student during and after each practice session and provide specific assistance to the student during the practice process and after the practice session as next revision.

[0017] These and other objects and advantages of the embodiments herein will become readily apparent from the following detailed description taken in conjunction with the accompanying drawings.

SUMMARY

[0018] The various embodiments herein provide a system and method for a technology enabled, personalized and practice-based teaching pedagogy. The invention also provides a system and method for personalized and practice-based learning that comprises an artificial intelligence enabled process and customized insights.

[0019] According to one embodiment herein, an online and/or offline hybrid system for personalized and practice-based learning is provided. The system comprises a physical infrastructure (including classroom for lecture and practice lab), an online practice platform and/or a technology enabled virtual infrastructure. The physical infrastructure comprises conventional classroom for lecture and practice lab with computer aided tools to assist a teacher and students during the practice process as per the structure proposed by the invention. The virtual infrastructure comprises modules and processes for enabling an automated guidance and monitoring of a personalized learning mechanism. This also includes analytics after the practice session for each student. [0020] According to one embodiment herein, a method of building a practice-focused learning platform is provided. The method comprises a step-wise process to link the steps that influence a learning behavior customized to a student. The method comprises a process spread over a fixed period over a plurality of interventions to enable a customized learning method that is designed by an artificial intelligence engine based on a student's requirements.

[0021] According to one embodiment herein, a technology platform for personalized and practice-based learning is provided. The platform comprises a plurality of touch-points to consolidate learning in steps from short-term memory to long-term memory. The platform also comprises a method to decentralize a teacher' s time to benefit more number of students and breakdown a practice process into multiple steps. The platform also intelligently identifies the improvement areas of a student during a practice session and provides specific assistance to the student during a practice process. After the practice sessions, these identified improvement areas are sent to that students for further learning effort so that such improvement areas are covered methodically.

[0022] According to one embodiment herein, a system for recording and verifying a student's notes is provided. The student's handwritten and/or digital notes and recording of classroom sessions are processed by the system for automatically preparing customized study-aid tools based on a student's requirements. An artificial intelligence engine recognizes and understands a student's notes and provides a learning map and next steps in terms of practice and revision plans to the student in personalized remote access to the online platform.

[0023] According to one embodiment herein, a system for providing a technology enabled, personalized and practice-based learning platform is provided. The system comprises a physical infrastructure, including classroom for lecture and practice lab, an online practice and revision platform, a virtual infrastructure and a student. [0024] According to one embodiment herein, a virtual infrastructure that enables an automated, personalized and practice-based learning platform is provided. The virtual infrastructure comprises an authentication module, an artificial intelligence engine, a central server, a practice module, a revision module, an examination module, a plurality of teaching devices and a plurality of remote devices.

[0025] According to one embodiment herein, a method to enable an automated, personalized and practice-based learning is provided. The method comprises interactive lecture and teaching in small groups, including a concept based discussion in the classroom lecture format; followed by a personalized revision on online platform, comprising access to teacher for clearing doubts, tagging important concepts for future revision; personalized practice enabling continuous improvement along with assisted practice under guidance of a mentor and access to a teacher to discuss doubts and questions in real-time; personalized remote revision plan, where an artificial intelligence system identifies the areas where a student is to focus more and identifying areas where there is a gap in the student's learning; and, personalized remote assignment, based on performance in past practice sessions and remote revision, to consolidate the learning process and provide additional practice to achieve learning objective.

[0026] These and other aspects of the embodiments herein will be better appreciated and understood when considered in conjunction with the following description and the accompanying drawings. It should be understood, however, that the following descriptions, while indicating the preferred embodiments and numerous specific details thereof, are given by way of illustration and not of limitation. Many changes and modifications may be made within the scope of the embodiments herein without departing from the spirit thereof, and the embodiments herein include all such modifications. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The other objects, features and advantages will occur to those skilled in the art from the following description of the preferred embodiment and the accompanying drawings in which:

[0028] FIG. 1 illustrates a block diagram of a system for providing a technology enabled, personalized and practice-based learning platform, according to one embodiment herein.

[0029] FIG. 2 illustrates a block diagram of a virtual infrastructure that provides an automated, personalized and practice-based learning platform, according to one embodiment herein.

[0030] FIG. 3 illustrates a flow-diagram comprising a method to enable an automated, personalized and practice-based learning, according to one embodiment herein.

[0031] Although the specific features of the embodiments herein are shown in some drawings and not in others. This is done for convenience only as each feature may be combined with any or all of the other features in accordance with the embodiment herein.

DETAILED DESCRIPTION OF THE EMBODIMENTS HEREIN

[0032] In the following detailed description, a reference is made to the accompanying drawings that form a part hereof, and in which the specific embodiments that may be practiced is shown by way of illustration. These embodiments are described in sufficient detail to enable those skilled in the art to practice the embodiments and it is to be understood that other changes may be made without departing from the scope of the embodiments. The following detailed description is therefore not to be taken in a limiting sense.

[0033] The various embodiments herein provide a system and method for a technology enabled, personalized and practice-based teaching pedagogy. The invention also provides a system and method for personalized and practice-based learning that comprises an artificial intelligence enabled process and customized insights.

[0034] According to one embodiments herein, an online and/or offline hybrid system for personalized and practice-based learning is provided. The system for providing a technology enabled, personalized and practice-based pedagogy comprises a scanner (not shown) for reading a machine-readable code associated with a student, a physical infrastructure for delivering physical discourse and facilitating real time interaction, based on the machine-readable code and performing assessment of the student based on the physical discourse; and a virtual infrastructure for enabling personalized and practice-based pedagogy. The virtual infrastructure comprises an online practice and revision platform for enabling practice-based learning and providing on-demand personalized attention, the online platform selectively functioning in conjunction with the physical infrastructure for delivering physical discourse and a virtual classroom for delivering virtual discourse based on the performance of the student recorded by the online platform.

[0035] According to one embodiments herein, a method of building a practice- focused learning platform is provided. The method comprises a step-wise process to link the steps that influence a learning behavior customized to a student. The method comprises a process spread over a fixed period over a plurality of interventions to enable a customized learning method that is designed by an artificial intelligence engine based on a student's requirements.

[0036] According to one embodiments herein, a technology platform for personalized and practice-based learning is provided. The platform comprises a plurality of touch-points to consolidate learning in steps from short-term memory to long-term memory. The platform also comprises a method to decentralize a teacher' s time to benefit more number of students and breakdown a practice process into multiple steps. The platform also intelligently identifies the improvement areas of a student during a practice session and provides specific assistance to the student during a practice process. After the practice sessions, these identified improvement areas are sent to that students for further learning effort so that such improvement areas are covered methodically.

[0037] According to one embodiments herein, a system for recording and verifying a student's notes is provided. The student's handwritten and/or digital notes and recording of classroom sessions are processed by the system for automatically preparing customized study-aid tools based on a student's requirements. An artificial intelligence engine recognizes and understands a student's notes and provides a learning map and next steps in terms of practice and revision plans to the student in personalized remote access to the online platform.

[0038] FIG. 1 illustrates a block diagram of a system for providing a technology enabled, personalized and practice-based learning platform, according to one embodiment of the embodiments herein. The system comprises a Physical infrastructure 101, a Virtual infrastructure 102, a Student 103 and an.

[0039] The system 100 for providing a technology enabled, personalized and practice-based pedagogy comprises a scanner (not shown) for reading a machine-readable code associated with a student 103, a physical infrastructure 101 for delivering physical discourse and facilitating real time interaction, based on the machine-readable code and performing assessment of the student 103 based on the physical discourse; and a virtual infrastructure 102 for enabling personalized and practice-based pedagogy. The virtual infrastructure 102 comprises an online practice and revision platform 104 for enabling practice-based learning and providing on-demand personalized attention, the online platform 104 selectively functioning in conjunction with the physical infrastructure 101 for delivering physical discourse and a virtual classroom 102a for delivering virtual discourse based on the performance of the student recorded by the online platform 104.

[0040] FIG. 2 illustrates a block diagram of a virtual infrastructure 102 that provides an automated, personalized and practice-based learning platform, according to one embodiment of the embodiments herein. The Virtual infrastructure 102 comprises an Authentication module 102a, an Artificial Intelligence Engine 102b, a Central server 102c, an Examination module 102d, a plurality of Teaching Devices 102e, a plurality of Remote Devices 102f, a Practice Module 102g, a Revision Module 102h and a Personalized Improvement Plan Module 102L

[0041] The central server 102c is configured for generating a student profile and associating a machine-readable code for each student enrolled at the system.

[0042] The authentication module 102a is configured for authenticating the student based on the machine-readable code. The machine-readable code is one of a Quick Response (QR) code, a bar code and a Radio Frequency Identification (RFID) code. A QR code is a two-dimensional (2D) barcode created that can be scanned regardless of scanning direction or damage caused to the QR code. A bar code comprises a pattern of parallel lines of varying widths, printed on a commodity. RFID (Radio Frequency Identification) stores data in the form of radio waves in a tiny circuitry.

[0043] The examination module 102d is configured for performing assessment of the student based on the physical discourse.

[0044] The central server 102c is configured for coordinating between the physical infrastructure 101 and the virtual infrastructure 102. Further, the central server 102c is configured for selectively engaging the virtual infrastructure 102 based on assessment of the student based on the physical discourse. [0045] The central server 102c is configured for storing, processing and providing information to a student. For this purpose, the central server 102c may include memory, a processor and a communication module. The processor may be a general-purpose processor, a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), and/or the like. The processor may be configured to retrieve data from and/or write data to the memory. The memory may be, for example, a random-access memory (RAM), a memory buffer, a hard drive, a database, an erasable programmable read only memory (EPROM), an electrically erasable programmable read only memory (EEPROM), a read only memory (ROM), a flash memory, a hard disk, a floppy disk, cloud storage, and/or so forth. In one embodiment, the server may include one or more hardware- based modules (e.g., DSP, FPGA, ASIC) and/or software- based modules (e.g., a module of computer code stored at the memory and executed at the processor, a set of processor- readable instructions that may be stored at the memory and executed at the processor) associated with executing an application.

[0046] Further, the central server 102c may include a database (e.g., in memory and/or through a wired and/or a wireless connection) for storing data received from the multiple physical and virtual infrastructure 102 coupled to the central server 102c via a communication network.

[0047] Any database discussed herein may include relational, hierarchical, graphical, or object-oriented structure and/or any other database configurations. Common database products that may be used to implement the databases include DB2 by IBM (White Plains, N.Y.), various database products available from Oracle Corporation (Redwood Shores, Calif.), Microsoft Access or Microsoft SQL Server by Microsoft Corporation (Redmond, Wash.), MySQL, or any other suitable database product. Moreover, the databases may be organized in any suitable manner, for example, as data tables or lookup tables. Each record may be a single file, a series of files, a linked series of data fields or any other data structure. Association of certain data may be accomplished through any desired data association technique such as those known or practiced in the art.

[0048] The artificial intelligence engine 102b is configured for verifying students' notes. The student notes in one of a hand written and digital form. The students note is prepared based on the physical discourse and real time interaction of the student with the teacher. The artificial intelligence engine 102b is further configured for generating a concept gap data and learning map for the student. The learning map is generated upon processing the students' notes.

[0049] The practice module 102g is configured for providing at least one assignment and a learning material based on the assessment of the student in the physical discourse.

[0050] Each of the assignment and the learning material is in at least one of textual, audio and video format and delivered in one of an online and offline mode.

[0051] The revision module 102h is configured for generating a virtual performance data, the virtual performance data comprising recording presence of the student and conducting assessment of the student based on the virtual discourse. The online platform 104 is configured for synchronizing the virtual performance data generated for a student with the data stored in the student profile associated with the student.

[0052] The personalized improvement plan module 102i is configured for generating a set of personalized improvement questionnaire based on the overall performance of the assessed so fare through examination module 102d and revision module 102h. The personalized improvement questionnaire can be can be answered in an online or an offline mode. The answers may further be uploaded in the system. The personalized improvement plan module 102i is configured for processing answers provided by the student for the personalized improvement questionnaire and determining if the student has fulfilled the personalized potential for learning. Additional set of personalized improvement questionnaire may further be provided if the determination is in negative.

[0053] FIG. 3 illustrates a flow-diagram comprising a method to enable an automated, personalized and practice-based learning, according to one embodiment herein. The method comprises: interactive lecture and teaching in small groups, including a concept based discussion in the classroom lecture format (301); personalized revision on online platform, comprising access to teacher for clearing doubts, tagging important concepts for future revision (302); personalized practice enabling continuous improvement along with assisted practice under guidance of a mentor and access to a teacher to discuss doubts and questions in real-time (303); personalized remote revision plan, where an artificial intelligence system identifies the areas where a student is to focus more and identifying areas where there is a gap in the student's learning (304); and, personalized remote assignment, based on performance in past practice sessions and remote revision, to consolidate the learning process and provide additional practice to achieve learning objective (305).

[0054] Further, the method can be incorporated as a web application or a mobile application that can be installed in a user device. The user device may be a personal computing device, among other things for example, a desktop computer, a laptop computer, a notebook, a netbook, a tablet personal computer (PC), a control panel, a smart phone, a mobile phone, a personal digital assistant (PDA), and/or any other suitable device operable to send and receive data and display data. Applications, as used herein, include any set of computing instructions. Applications instruct an electronic device to perform specified functions. Applications typically contain logic and methods for accessing, manipulating, and storing data. Examples of applications include word processors, web browsers, email clients, games (e.g., chess games, etc), and media players. Applications may contain instructions on displaying and formatting data. For example, an application may instruct an electronic device to access certain data and display it in a specified format and/or at a specified time.

[0055] Applications may be transported via any method suitable for such purpose. For example, the applications may be downloaded to the user device via a Web browser or may be transported to the user device using a "push" type operation via a network protocol over a cable or wireless infrastructure. Possible means for pushing an application or application reference include, but are not limited to, email, embedding in a Web page, part of an RSS feed, a WAP.TM. push, or a Bluetooth. TM. transmission. The system for deploying applications to the user devices may optionally include a runtime environment for the application. A runtime environment is software that allows a user device to execute application code.

[0056] The functions described herein may be implemented in hardware, software executed by a processor, firmware, or any combination thereof. If implemented in software executed by a processor, the functions may be stored on or transmitted over as one or more instructions or code on a computer- readable medium. Other examples and implementations are within the scope and spirit of the disclosure and appended claims. For example, due to the nature of software, functions described above can be implemented using software executed by a processor, hardware, firmware, hardwiring, or combinations of any of these. Features implementing functions may also be physically located at various positions, including being distributed such that portions of functions are implemented at different physical locations.

[0057] In addition, any disclosure of components contained within other components or separate from other components should be considered exemplary because multiple other architectures may potentially be implemented to achieve the same functionality, including incorporating all, most, and/or some elements as part of one or more unitary structures and/or separate structures. [0058] Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage medium may be any available medium that can be accessed by a general purpose or special purpose computer. By way of example, and not limitation, computer- readable media can comprise RAM, ROM, EEPROM, flash memory, CD-ROM, DVD, or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code means in the form of instructions or data structures and that can be accessed by a general - purpose or special -purpose computer, or a general -purpose or special -purpose processor. Also, any connection is properly termed a computer- readable medium. For example, if the software is transmitted from a website, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of medium. Disk and disc, as used herein, include compact disc (CD), laser disc, optical disc, digital versatile disc (DVD), floppy disk and Blu-ray disc where disks usually reproduce data magnetically, while discs reproduce data optically with lasers. Combinations of the above are also included within the scope of computer- readable media.

[0059] In another embodiment, a computer program product stored in a computer readable media, the computer program product having instructions that when executed by a processor cause the processor to perform the method depicted by the flowchart shown in FIG. 3.

[0060] Although the embodiments herein are described with various specific embodiments, it will be obvious for a person skilled in the art to practice the embodiments herein with modifications. [0061] The embodiments herein provide a system and method for a technology enabled, personalized and practice-based learning. The embodiments herein invention aim to bring a fundamental shift in the teaching pedagogy that is not the most effective for the 21^st century students. The embodiments herein also provide a system and method for personalized and practice-based teaching and learning that comprises an artificial intelligence enabled process to provide the personalized education for each student and to provide effective improvement in the academic performance of the students. Current methods of teaching and learning do not enable a teacher to provide personalized feedback and inputs to most of the students. The embodiments herein provide an online and offline hybrid system of physical infrastructure 101, including a classroom for lecture and practice lab, and virtual infrastructure 102 for personalized and practice-based learning. The virtual infrastructure 102 comprises modules and processes for enabling an automated guidance and monitoring of a personalized learning mechanism. The system also comprises a method to decentralize a teacher's time to benefit more number of students and breakdown a practice process into multiple steps. The teacher's time and intervention are key aspects of the overall process; however the role of the teacher is expected to change from a pure knowledge provider to a learning enabler. The platform also intelligently identifies the improvement areas of a student during a practice session and provides specific assistance to the student during a practice process. The student's handwritten and/or digital notes and recording of classroom sessions are processed by the system for automatically preparing customized study-aid tools based on a student's requirements. An artificial intelligence engine recognizes and understands a student's notes and provides a learning map to the student. The embodiments herein also provide a method that comprises a step-wise process to link the steps that influence a learning behavior customized to a student. The method comprises a process spread over a fixed period to enable a customized learning method that is designed by an artificial intelligence engine based on a student's requirements.

[0062] The foregoing description of the specific embodiments will so fully reveal the general nature of the embodiments herein that others can, by applying current knowledge, readily modify and/or adapt for various applications such as specific embodiments without departing from the generic concept, and, therefore, such adaptations and modifications should and are intended to be comprehended within the meaning and range of equivalents of the disclosed embodiments.

[0063] It is to be understood that the phraseology or terminology employed herein is for the purpose of description and not of limitation. Therefore, while the embodiments herein have been described in terms of preferred embodiments, those skilled in the art will recognize that the embodiments herein can be practiced with modifications. However, all such modifications are deemed to be within the scope of the claims.

[0064] The scope of the embodiments will be ascertained by the claims listed below.

Claims

CLAIMS What is claimed is:

1. A system for providing a technology enabled, personalized and practice-based pedagogy, the system comprising:

a scanner for reading a machine-readable code associated with a student;

a physical infrastructure 101 for delivering physical discourse and facilitating real time interaction, based on the machine-readable code and performing assessment of the student based on the physical discourse; and

a virtual infrastructure 102 for enabling personalized and practice-based pedagogy, the virtual infrastructure 102 comprising:

an online platform for enabling practice-based learning and providing on-demand personalized attention, the online platform selectively functioning in conjunction with the physical infrastructure 101 for delivering physical discourse; and

a virtual setup for delivering virtual discourse based on the performance of the student recorded by the online platform.

2. The system as claimed in claim 1, further comprising an authentication module for authenticating the student based on the machine-readable code.

3. The system as claimed in claim 2, wherein the machine-readable code is one of a Quick Response (QR) code, a bar code and a Radio Frequency Identification (RFID) code.

4. The system as claimed in claim 1, wherein the physical infrastructure 101 comprises an examination module configured for performing assessment of the student based on the physical discourse.

5. The system as claimed in claim 1, further comprising a central server coupled to the virtual infrastructure 102, the central server configured for coordinating between the physical infrastructure 101 and the virtual infrastructure 102.

6. The system as claimed in claim 5, wherein the central server is configured for selectively engaging the virtual infrastructure 102 based on assessment of the student based on the physical discourse.

7. The system as claimed in claim 5, wherein the central server is configured for generating a student profile and associating a machine-readable code for each student enrolled at the system.

8. The system as claimed in claim 1, wherein the online platform comprises an artificial intelligence engine configured for generating a concept gap data and learning map for the student.

9. The system as claimed in claim 8, wherein the artificial intelligence engine is further configured for processing students notes, the students note depicting physical discourse and real time interaction, for at least one of recording and verifying the students notes and generating the learning map based on the students notes.

10. The system as claimed in claim 9, wherein the student notes is in one of a hand written and digital form.

11. The system as claimed in claim 1, wherein the online platform comprises a practice module configured for providing at least one assignment and a learning material based on the assessment of the student post the physical discourse.

12. The system as claimed in claim 11, wherein each of the assignment and the learning material is in at least one of textual, audio and video format.

13. The system as claimed in claim 11, wherein each of the assignment and the learning material is delivered in one of an online and offline mode.

14. The system as claimed in claim 1, wherein the online platform comprises a revision module configured for generating a virtual performance data, the virtual performance data comprising recording presence of the student and conducting assessment of the student based on the virtual discourse.

15. The system as claimed in claim 14, wherein the online platform is configured for synchronizing the virtual performance data generated for a student with the data stored in the student profile associated with the student.

16. The system as claimed in claim 1, further comprising a web application module for use in a user device, the user device being communicatively coupled to the central server via a communication network, the web application module providing an interface for the user with the central server.

17. A method for providing a technology enabled, personalized and practice-based pedagogy, the method comprising:

interactive lecture and teaching in small groups, including a concept based discussion in the classroom lecture format;

personalized revision on online platform, comprising access to teacher for clearing doubts, tagging important concepts for future revision;

personalized practice enabling continuous improvement along with assisted practice under guidance of a mentor and access to a teacher to discuss doubts and questions in real-time;

personalized remote revision plan, where an artificial intelligence system identifies the areas where a student is to focus more and identifying areas where there is a gap in the student's learning; and

personalized remote assignment, based on performance in past practice sessions and remote revision, to consolidate the learning process and provide additional practice to achieve learning objective.

18. A computer readable medium storing computer readable instructions which when executed by a processor cause the processor to perform a method comprising the following steps:

interactive lecture and teaching in small groups, including a concept based discussion in the classroom lecture format; personalized revision on online platform, comprising access to teacher for clearing doubts, tagging important concepts for future revision;