Learning delivery systems and methods

Abstract

Learning delivery systems and methods A learning delivery system to deliver learning to a class of stakeholders, having more than one computer device. Each computer device comprises a processor, a memory, and a communication interface coupled to the processor and the memory. When instructions stored in the memory are executed by the processor, the system selects at least one process from a plurality of processes, obtains feedback of the at least one selected process for measuring adherence to the at least one selected process, obtains feedback for measuring effective of learning methods delivered to the class of stakeholders, obtain feedback for measuring engagement of the class of stakeholders, optimize delivery of learning by improving the adherence to process, improving the learning methods and the engagement by the class of stakeholders.

Description

Illumine-0011TITLE OF THE INVENTIONLearning delivery systems and methodsDESCRIPTION OF THE INVENTIONFIELD OF THE INVENTION

[0001] The present invention relates to learning delivery systems. Particularly, the present invention relates to systems and methods for replication of high-quality learning delivery at a large scale.DESCRIPTION OF THE BACKGROUND

[0002] There are several teaching and learning delivery systems available today, which are designed to take education on a large scale. However, these systems do not offer any guarantees of effectiveness.

[0003] At large scales, there is a wide variation in the quality of teaching. While a small group of teachers are very good, some are very bad. The difference and the range between good and bad teachers can be very wide. As illustrated in figure 1, it has been empirically that there is a bell curve of quality of teachers with bad teachers on one side and good teachers on the other side of the curve. In practical terms, when teaching is carried in several schools / colleges in a public education system, there are likely to be very wide variations in the quality of teaching and learning across the public education system. This variation in quality is not just due to variation in the input (i.e. instruction provided by teacher, teaching material, etc.), but also variation in the delivery of the teaching. Deficiencies in learning outcomes can also be attributable to variations in students and their involvement in the class.

[0004] Thus, this is a “quality at scale” challenge for learning delivery systems. This challenge has been attempted to be solved by using various methods by increasing standardizations.Illumine-0012However, this affects negatively the active engagement of providers and participants in a classroom environment. One such method is the e-leaming method. In this method, all learners see the same material by way of lecture videos. Another method is having a structured interaction environment. In this method the quality of training that all students get is standardized because the content received by the learners is uniform. An example of this method is the tailored and structured course work provided to students while preparing for competitive examinations such as the GMAT, GRE, etc. Yet another method is adaptation of content based on the learning levels of participants. In these environments, there is interactivity, and students are evaluated using multiple choice questions. One more method is structured training, where teachers are provided with a structured flow chart. This is similar to an assembly line in manufacturing plants, where steps are repeated to achieve outcomes.

[0005] However, none of these solutions offer increased student involvement to improve the students’ thinking and reflection. Further, there is no solution currently that offers a way to move the entire curve such that each teacher and each student improves during delivery of learning. Thus, there is a need to have a higher quality learning delivery system wherein there is a higher involvement of students and the gap between the students trained in bad teachers’ classrooms versus the students trained in good teachers’ classrooms is reduced.SUMMARY OF THE INVENTION

[0006] The present invention discloses a learning delivery system to deliver learning to a class of stakeholders. The learning delivery system has more than one computer device. At least one of the devices is a master device. Each computer device is communicatively connected with the other computer devices. Each computer device comprises a processor, a memory, and a communication interface coupled to the processor and the memory. The memory storesIllumine-0013 instructions which when executed by the processor (210) causes the system to perform the following steps. First, the master device selects at least one process from a plurality of processes. The selected process comprises selecting a format to be used for delivery of learning, assigning each member of the class of stakeholders one of a plurality of roles, using a tool of thinking, and using a set of protocols. The format, the plurality of roles, the tool of thinking and the set of protocols are either selected from a predefined set of formats, a predefined set of roles, a predefined set of tools of thinking, and a predefined set of protocols respectively, or are manually generated. Further, the system obtains feedback by a process feedback mechanism of the selected process for measuring adherence to the selected process. The process feedback mechanism comprises a process adherence threshold manager and a process nudge module. The process adherence threshold manager predefines a threshold for the format, the plurality of roles, the tool of thinking, and the set of protocols. The process nudge module is configured to send a nudge to at least one computer device if the adherence to the process is below the predefined thresholds. The system further obtains feedback by a learning feedback mechanism to measure effective of learning methods delivered to the class of stakeholders. The learning feedback mechanism comprises a library of diagnostic tools, a learning threshold manager, and a learning nudge module. One of the diagnostic tools is selected from the library of diagnostic tools to measure the learning delivered to the class of stakeholders objectively. The learning threshold manager predefines a threshold for the performance of the class of stakeholders for each diagnostic tool in the library of diagnostic tools. The learning nudge module to send a nudge to at least one computer device if the learning measured by the selected diagnostic tool is below the predefined threshold. The system further obtains feedback by an engagement feedback mechanism to measure engagement of the class of stakeholders. The engagement feedback mechanism comprises aIllumine-0014 stakeholder engagement manager, an engagement threshold manager, and an engagement nudge module. The stakeholder engagement manager is configured to calculate participation of the members of the class of stakeholders participating in the system. The stakeholder engagement manager is also configured to calculate distribution and frequency of participation of the members of the class of stakeholders. The stakeholder engagement manager is further configured to calculate performance of the at least one member of the class of stakeholders operating the master device. The engagement threshold manager predefines a threshold for the quality engagement parameter for the quantity engagement parameter. The engagement nudge module sends a nudge to at least one computer device if engagement is below the predefined thresholds. The system further performs a step of optimizing delivery of learning by improving the adherence to process using the feedback obtained by the process feedback mechanism. The system further performs a step of optimizing delivery of learning by improving the learning methods and the engagement by the class of stakeholders using the of the feedback from the learning engagement mechanism. The system further performs a step of optimizing delivery of learning by improving the engagement by the class of stakeholder using the feedback obtained from the engagement feedback mechanism.

[0007] The system is taken to a large scale, when a plurality of systems is used to exchange information. The information exchanged includes the feedback obtained by the process feedback mechanism, the feedback obtained by the engagement feedback mechanism, and the feedback obtained by the learning feedback mechanism.BRIEF DESCRIPTION OF THE DRAWINGS

[0008] Figure 1 illustrates an empirical bell curve suggesting the quality gap between bad teachers and good teachers.Illumine-0015

[0009] Figure 2 shows an exemplary embodiment of the various computing devices collectively forming the learning delivery system when connected communicatively.

[0010] Figure 3 shows an exemplary embodiment of each computer device that forms a part of the learning delivery system.

[0011] Figure 4 shows an exemplary embodiment of a set of processes that form part of each computer device in the learning delivery system.

[0012] Figure 5 shows an exemplary embodiment of a process feedback mechanism that forms a part of each computer device in the learning delivery system.

[0013] Figure 6 shows an exemplary embodiment of a learning feedback mechanism that forms a part of each computer device in the learning delivery system.

[0014] Figure 7 shows an exemplary embodiment of an engagement feedback mechanism that forms a part of each computer device in the learning delivery system.

[0015] Figure 8 shows a flowchart of a method for designing a learning delivery system in accordance with an embodiment of the present invention.DETAILED DESCRIPTION

[0016] In the following description, for the purposes of explanation, various specific details are set forth in order to provide a thorough understanding of the embodiments of the present invention. It will be apparent, however, that embodiments of the present invention may be practiced without these specific details. Several features described hereafter can each be used independently of one another or with any combination of other features. An individual feature may not address any of the problems discussed above or might address only some of the problems discussed above. Some of the problems discussed above might not be fully addressed by any of the features described herein. Example embodiments of the present invention are described below, as illustrated in various drawings.Illumine-0016

[0017] The ensuing description provides exemplary embodiments only, and is not intended to limit the scope, applicability, or configuration of the disclosure. Rather, the ensuing description of the exemplary embodiments will provide those skilled in the art with an enabling description for implementing an exemplary embodiment. It should be understood that various changes may be made in the function and arrangement of elements without departing from the spirit and scope of the invention as set forth.

[0018] Specific details are given in the following description to provide a thorough understanding of the embodiments. However, it will be understood by one of ordinary skill in the art that the embodiments may be practiced without these specific details. For example, circuits, systems, networks, processes, and other components may be shown as components in block diagram form in order not to obscure the embodiments in unnecessary detail. In other instances, well- known circuits, processes, algorithms, structures, and techniques may be shown without unnecessary detail in order to avoid obscuring the embodiments.

[0019] Also, it is noted that individual embodiments may be described as a process which is depicted as a flowchart, a flow diagram, a data flow diagram, a structure diagram, or a block diagram. Although a flowchart may describe the operations as a sequential process, many of the operations can be performed in parallel or concurrently. In addition, the order of the operations may be re-arranged. A process is terminated when its operations are completed but could have additional steps not included in a figure. A process may correspond to a method, a function, a procedure, a subroutine, a subprogram, etc. When a process corresponds to a function, its termination can correspond to a return of the function to the calling function or the main function.

[0020] The word “exemplary” and / or “demonstrative” is used herein to mean serving as an example, instance, or illustration. For the avoidance of doubt, the subject matter disclosedIllumine-0017 herein is not limited by such examples. In addition, any aspect or design described herein as “exemplary” and / or “demonstrative” is not necessarily to be construed as preferred or advantageous over other aspects or designs, nor is it meant to preclude equivalent exemplary structures and techniques known to those of ordinary skill in the art. Furthermore, to the extent that the terms “includes,” “has,” “contains,” and other similar words are used in either the detailed description or the claims, such terms are intended to be inclusive — in a manner similar to the term “comprising” as an open transition word — without precluding any additional or other elements.

[0021] Reference throughout this specification to “one embodiment” or “an embodiment” or “an instance” or “one instance” means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, the appearances of the phrases “in one embodiment” or “in an embodiment” in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0022] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the singular forms “a”, “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises” and / or “comprising,” when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof. As used herein, the term “and / or” includes any and all combinations of one or more of the associated listed items.Illumine-0018

[0023] As used herein, a “processor” or “processing unit” includes one or more processors, wherein processor refers to any logic circuitry for processing instructions. A processor may be a general-purpose processor, a special-purpose processor, a conventional processor, a digital signal processor, a plurality of microprocessors, one or more microprocessors in association with a DSP core, a controller, a microcontroller, a low-end microcontroller, Application Specific Integrated Circuits, Field Programmable Gate Array circuits, any other type of integrated circuits, etc. The processor may perform signal coding data processing, input / output processing, and / or any other functionality that enables the working of the system according to the present disclosure. More specifically, the processor or processing unit is a hardware processor.

[0024] As used herein, “connect”, “configure”, “couple” and its cognate terms, such as “connects”, “connected”, “configured” and “coupled” may include a physical connection (such as a wired / wireless connection), a logical connection (such as through logical gates of semiconducting device), other suitable connections, or a combination of such connections, as may be obvious to a skilled person.

[0025] As used herein, “send”, “transfer”, “transmit”, and their cognate terms like “sending”, “sent”, “transferring”, “transmitting”, “transferred”, “transmitted”, etc. include sending or transporting data or information from one unit or component to another unit or component, wherein the content may or may not be modified before or after sending, transferring, transmitting.

[0026] As used herein, “database” “memory unit”, “storage unit” and / or “memory” refers to a machine or computer-readable medium including any mechanism for storing information in a form readable by a computer or similar machine. For example, a computer-readable medium includes read-only memory (“ROM”), random access memory (“RAM”), magnetic diskIllumine-0019 storage media, optical storage media, flash memory devices or other types of machine- accessible storage media.

[0027] As used herein ‘computer readable media’ refers to both volatile and non-volatile media, removable and non-removable media, any available medium that may be accessed by the computing device. By way of example and not limitation, computer readable media comprise computer storage media and communication media.

[0028] Hereinafter, exemplary embodiments of the present disclosure will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily carry out the present disclosure.

[0029] Figure 2 of the invention shows a learning delivery system (100). The learning delivery system comprises more than one computer device. One of the devices is a master device (200M). The master device (200M) is communicatively connected with each computer device (200) in the system (100). Each computer device (200), including the master device (200M) comprises at least one processor (210), at least one memory (220), and at least one communication interface (230). Each communication interface (230) is coupled to the corresponding processor (210) and the corresponding memory (220). Each memory (220) stores instructions. When the instructions stored in the memory (220) are executed by the processor (210), the processor (210) causes the system (100) to execute one embodiment of the present invention.

[0030] The learning delivery system (100) delivers learning to a class of stakeholders. The class of stakeholders comprises at least one provider, who may be a teacher or a conductor or a trainer. The at least one provider is equipped with the master device (200M). The class of stakeholders also comprises at least one participant, who may be a student or a trainee. Each participant is equipped with a computer device (200). When the present invention isIllumine-00110 performed, it results in the improvement of the performance of the provider and the participant.

[0031] In one embodiment of the invention, as shown in figure 3, the master device (200M) selects at least one process from a plurality of processes (240) to deliver learning to a class of stakeholders optimally. In an embodiment of the invention, the selected process is optimally suited for a desired outcome. This optimally suited process in an embodiment of the invention ensures that each time the at least one selected process is carried out by any one member of the class of stakeholders, a consistent effect is obtained. In an embodiment of the invention, the teacher as a member of the class of stakeholders will obtain a consistent effect of improvement in quality of learning for each student in the classroom.

[0032] Further, as shown in Figure 3, there is a series of feedback mechanisms to check that the process selected is running efficiently. First, there is a process feedback mechanism (250) in each computer device (200, 200M). The process feedback mechanism (250) measures adherence to the selected process. Second, there is a learning feedback mechanism (260) in each computer device (200, 200M). The learning feedback mechanism (260) measures learning delivered to the class of stakeholders. Thirdly, there is an engagement feedback mechanism (270) in each computer device (200, 200M). The engagement feedback mechanism (270) measures engagement of each member of the class of stakeholders.

[0033] The feedback received from the process feedback mechanism (250), the learning feedback mechanism (260), and the engagement feedback mechanism (270) is collectively optimized. This optimization enhances the delivery of learning to the class of stakeholders.

[0034] In a further embodiment of the invention, there is a plurality of systems (100). Each system (100) has a class of stakeholders. The feedback obtained by each process feedback mechanism (250), each learning feedback mechanism (260), and each engagement feedback mechanismIllumine-00111(270) is exchanged among the plurality of systems (100). This enables the delivery of learning to be modified at two stages advantageously. Content used in learning delivery can be modified to make it more effective. Content can also be tailored to identify the weaknesses of the class of stakeholders accessing the content. Further, the feedback is used to advantageously, modify behavior of the class of stakeholders. Thus, the learning delivery system can be deployed at a large scale with increased effect.

[0035] Figure 4 of the invention shows that the selected process in one embodiment of the invention is selected from a set of processes (240). The set of processes (240) comprises selecting a format that is to be used for applying the system (100). In one embodiment of the invention, the format is selected from a predefined set of formats (242). In another embodiment of the invention, the format is a manually generated new format. The manually generated new format is then incorporated into the predefined set of formats (242) for future use.

[0036] The set of processes (240) further comprises assignment of each member of the class of stakeholders a role. In one embodiment of the invention, the role assigned to each member of the class of stakeholders is selected from a predefined set of roles (244). Each member of the class of stakeholders will know what he / she is to do based on the role assigned him / her. In another embodiment of the invention, the role is a manually generated new role. The manually generated new role is then incorporated into the predefined set of roles (244) for future use.

[0037] The set of processes (240) further comprises using a tool of thinking. Each member of the class of stakeholders uses a tool of thinking within the role assigned to each member of the class of stakeholders . In one embodiment of the invention, the tool of thinking is selected from a predefined set of tools of thinking (246). In another embodiment of the invention, the toolIllumine-00112 of thinking is a manually generated tool of thinking. The manually generated tool of thinking is then incorporated into the predefined set of tools of thinking (246) for future use.

[0038] The set of processes (240) further comprises using a set of protocols. The set of protocols provides a structure for the class of stakeholders in which to incorporate the roles assigned to each member of the class of stakeholders. The set of protocols also provides a method to the class of stakeholders as regards how to incorporate the tool of thinking. In one embodiment of the invention, the set of protocols is selected from a set of predefined protocols (248). In another embodiment of the invention, the set of protocols are manually generated new protocols. The manually generated new protocols are then incorporated into the predefined set of protocols (248) for future use.

[0039] For example, a selected format is a 40-minute session for the class of stakeholders. In the selected format, there are thirty students and one teacher. The thirty students each have individual devices (200), and the teacher has the master device (200M). Each student is divided into teams of five to six members. Each team is given a goal of building a stakeholder map for a particular task, say performing a task of a nurse in a hospital. Each team member will represent various persons affected by the task in the hospital; one represents the core role of nurses, one represents patients, one represents patients’ families, one represents doctors, and one represents hospital staff, and so on. As per a selected protocol, each member will spell out the concerns of the role that they represent. Then, each member will offer solutions regarding what the nurse can provide for the role they represent. Then each team will build the following map using the tool for thinking:Illumine-001

[0040] Figure 5 of the invention shows the process feedback mechanism (250) in one embodiment of the invention. The process feedback mechanism (250) comprises a process adherence thresholder manager (252). The process adherence threshold manager (252) is designed to predefine thresholds (set of standards / specifications / benchmarks). A predefined threshold is designed for the format, for the plurality of roles, for the tool of thinking, and for the set of protocols. The process feedback mechanism (250) also comprises a process nudge module (254). The process nudge module (254) sends a nudge to at least one of the devices (200, 200M) if the adherence to the process is below the predefined thresholds.

[0041] For example, in the above example in paragraph

[0039] , the format threshold is defined as permissible 10% variance in standards embedded in the format. Also, the role threshold defines that only relevant roles can be selected by the class of stakeholders i.e. in the example, a role of a firefighter is not relevant. Further, the tool of thinking threshold defines that each team must submit at least one completely filled exemplary map. Lastly, the protocol threshold defines that the sequence in which the roles have to be performed and the exemplary map hasIllumine-00114 to be filled has to be in serial order. In this example, the process adherence threshold manager (252) has defined the above-mentioned thresholds. In the event, the class lasts longer than 44 minutes or shorter than 36 minutes; or any one member has selected an irrelevant role; or all teams have not submitted at least one exemplary map; or any team has not followed the predefined sequence as per the protocol, then the process nudge module (254) actively sends a nudge stating that there is a lack of adherence to the process.

[0042] Figure 6 of the invention describes the learning feedback mechanism (260). In one embodiment of the invention, the learning feedback mechanism (260) comprises a library of diagnostic tools (262). At least one tool is selected from the library of diagnostic tools (262) to measure learning that has been delivered to the class of stakeholders. The learning feedback mechanism (260) also comprises a learning threshold manager (264), which predefines the expected performance of the class of stakeholders while performing the diagnostic tool. The learning feedback mechanism (260) further comprises a learning nudge module (266) to send a nudge to at least one of the devices (200, 200M) if the learning is below the predefined threshold.

[0043] For example, in the above example at paragraph

[0039] , the diagnostic tool selected is a multiple-choice questionnaire or uses an in-class poll. In this example, each student fills out the questionnaire after the activity of filling out the exemplary map is completed. Alternatively, each student answers an in-class poll. In this example, the learning threshold manager is configured to define an acceptable score to provide grades to each student via the learning nudge module. Further, the learning threshold manager and the learning nudge module are also collectively configured to identify the questions within the questionnaire which elicited the most incorrect answers in the class of stakeholders and the learning nudge module projects these questions for a more detailed discussion to enhance the learningIllumine-00115 delivered to the class of stakeholders. Further, the learning nudge module can also be configured to send feedback to individual members of the class of stakeholders identifying their strengths and weaknesses in answering the quiz questions. There is also a possibility of each member of the class of stakeholders receiving information from other classes of stakeholders regarding overall performance in the quiz.

[0044] Figure 7 of the invention describes the engagement feedback mechanism (270). The engagement feedback mechanism (270) comprises a stakeholder engagement manager (272). The stakeholder engagement manager (272) is configured to calculate participation, distribution, and frequency of the members of the class of stakeholders participating in the system (100). This is done by counting number of times each member of the class of stakeholders participates in the system (100). This is also done by counting number of times each member of the class of stakeholders participates in the system (100). The stakeholder engagement manager (272) is further configured to calculate performance of each member of the class of stakeholders that is operating the master device (200M). This is done by correlating the collective performance of the class of stakeholders with other classes of stakeholders. The engagement feedback mechanism (270) further comprises an engagement threshold manager (276) and an engagement nudge module (278). The engagement threshold manager (276) predefines the engagement threshold required for the class of stakeholders. The engagement nudge module (278) sends a nudge to send a nudge to at least one of the devices (200, 200M) if the engagement is below the predefined threshold.

[0045] In the example in paragraph

[0039] , the engagement feedback mechanism (270) comprises a stakeholder engagement manager (272). The stakeholder engagement manager calculates how often each team participates in the 40-minute session; how many members out of 30 participate in the 40-minute session, and how the teacher performs in the class compared toIllumine-00116 other classes. The engagement threshold manager (274) has set a threshold of at least 50% of the class required to participate more than once in the class and 25% required to participate multiple times in the class. Further, the engagement threshold manager (274) has also set a threshold that collectively, in a class of 30 students, there should be at least 300 participation events for the teacher to receive a positive grade. If an individual student does not participate in the class, or if more than 9 students don’t participate in the class more than once, or if a collective 300 participation events are not recorded, then a nudge is sent by the engagement nudge module (276) to one or more of the computer devices (200, 200M).

[0046] Figure 8 shows a flowchart of a method for designing a knowledge delivery system, in accordance with an embodiment of the present invention. The method is a method for designing a learning delivery system designed for a class of stakeholders. Each member of the class of stakeholders has a corresponding device. At least one member of the class of stakeholders has a master device. The method comprises a step (802) of selecting at least one process from a plurality of processes. The plurality of processes is optimally suited for delivery of learning to the class of stakeholders. On each occasion where the at least one selected process is carried out by any one member of the class of stakeholders, a consistent learning is delivered to the other members of the class of stakeholders. The method comprises a further step (804) of obtaining feedback by a process feedback mechanism of the at least one process for measuring adherence to the at least one selected process. The method comprises another step (806) of obtaining feedback by a learning feedback mechanism for measuring effectiveness of learning methods delivered to the class of stakeholders. The method comprises a further step (808) of obtaining feedback by an engagement feedback mechanism for measuring engagement of the class of stakeholders. Further, the method comprises a step (810) of optimizing delivery of learning by improving the adherence toIllumine-00117 process, improving the learning methods, and improving the engagement of the class of stakeholders. This optimization is done by using the feedback obtained by the process feedback mechanism, the learning feedback mechanism, and the engagement feedback mechanism.

[0047] In another embodiment of the invention, the method comprises a plurality of classes of stakeholders. This plurality of classes of stakeholders are not necessarily at the same place and time as each other. In this embodiment, there is a step (812) that exchanges the feedback obtained by the process feedback mechanism, the learning feedback mechanism, and the engagement feedback mechanism among the plurality of classes of stakeholders.

[0048] While considerable emphasis has been placed herein on the preferred embodiments, it will be appreciated that many embodiments can be made and that many changes can be made in the preferred embodiments without departing from the principles of the invention. These and other changes in the preferred embodiments of the invention will be apparent to those skilled in the art from the disclosure herein, whereby it is to be distinctly understood that the foregoing descriptive matter to be implemented merely as illustrative of the invention and not as limitation.

Claims

Illumine-00118Claims:

1. A learning delivery system (100) to deliver learning to a class of stakeholders, having more than one computer device (200, 200M), wherein at least one of the devices is a master device (200M), each computer device (200, 200M) communicatively connected with the other computer devices (200, 200M), each computer device (200, 200M) comprising:A processor (210);A memory (220);A communication interface (230) coupled to the processor (210) and the memory (220), wherein the memory (220) stores instructions, which when executed by the processor (210) causes the system (200) to: select, by the master device (200M), at least one process from a plurality of processes (240); obtain feedback, by a process feedback mechanism (250), in each computer device (200, 200M), of the at least one selected process for measuring adherence to the at least one selected process; obtain feedback, by a learning feedback mechanism (260) in each computer device (200, 200M), for measuring effectiveness of learning methods delivered to the class of stakeholders; obtain feedback, by an engagement feedback mechanism (270) in each computer device (200, 200M), for measuring engagement of the class of stakeholders; and optimize, by the master device (200M), delivery of learning by improving the adherence to process, improving the learning methods and the engagement by the class of stakeholders through use of the feedback obtained from the process feedback mechanismIllumine-00119(250), the feedback obtained from the learning engagement mechanism (260), and the feedback obtained from the engagement feedback mechanism (270).

2. The system (100) as claimed in claim 1, further comprising a plurality of systems (100) each having a class of stakeholders, wherein the feedback obtained by the process feedback mechanism (250), the feedback obtained by the engagement feedback mechanism (260), and the feedback obtained by the learning feedback mechanism (270) is exchanged among the plurality of systems (100).

3. The system (100) as claimed in claim 1, wherein the at least one selected process (240) comprises: selecting a format that is to be used for delivery of learning, wherein the format is selected from a predefined set of formats (242) or the format is a manually generated format; assigning each member of the class of stakeholders one of a plurality of roles, wherein the plurality of roles is selected from a predefined set of roles (244) or the plurality of roles are manually generated; using a tool of thinking, wherein the tool of thinking is selected from a predefined set of tools of thinking (246), or the tool of thinking is a manually generated tool of thinking; and using a set of protocols, wherein the set of protocols governs the rules in which the tool of thinking and the plurality of roles are to be deployed, and wherein the set of protocols is selected from a predefined set of protocols (248) or the set of protocols is a manually generated set of protocols.Illumine-001204. The system (100) as claimed in claim 3, wherein the process feedback mechanism (250) comprises a process adherence threshold manager (252) to predefine a threshold for the format, predefine a threshold for the plurality of roles, predefine a threshold for the tool of thinking, and predefine a threshold for the set of protocols; and a process nudge module (254) to send a nudge to at least one of the devices (200, 200M) if the adherence to the process is below the predefined thresholds.

5. The system (100) as claimed in claim 3, wherein the learning feedback mechanism (260) comprises a library of diagnostic tools (262), one or more of which is selected to measure the learning delivered to the class of stakeholders objectively; a learning threshold manager (264) to predefine a threshold for the performance of the class of stakeholders for each diagnostic tool in the library of diagnostic tools (262), and a learning nudge module (266) to send a nudge to at least one of the devices (200, 200M) if the learning measured by the selected diagnostic tool is below the predefined threshold.

6. The system (100) as claimed in claim 3, wherein the engagement feedback mechanism (270) comprises a stakeholder engagement manager (272) configured to calculate participation of the members of the class of stakeholders participating in the system (100), to calculate distribution and frequency of participation of the members of the class of stakeholders, andIllumine-00121 to calculate performance of the at least one member of the class of stakeholders operating the master device (200M); an engagement threshold manager (274) to predefine thresholds for the stakeholder engagement manager; and an engagement nudge module (276) to send a nudge to at least one of the devices (200, 200M) if engagement is below the predefined thresholds.

7. A method (800) for designing a learning delivery system to a class of stakeholders, wherein each member of the class of stakeholders has a corresponding device and wherein at least one member of the class of stakeholders has a corresponding master device, the method comprising: selecting (802) at least one process from a plurality of processes; obtaining feedback (804) by a process feedback mechanism of the at least one process for measuring adherence to the at least one selected process; obtaining feedback (806) by a learning feedback mechanism for measuring effectiveness of learning methods delivered to the class of stakeholders; obtaining feedback (808) by an engagement feedback mechanism for measuring engagement of at least one of the members of the class of stakeholders; and optimizing (810) delivery of learning by improving the adherence to process, the learning methods, and the engagement by the class of stakeholders through use of the feedback obtained from the process feedback mechanism, the feedback obtained from the engagement feedback mechanism, and the feedback obtained from the learning engagement mechanism.Illumine-001228. The method as claimed in claim 7, further comprising a plurality of classes of stakeholders, wherein the feedback obtained by the process feedback mechanism, the feedback obtained by the learning feedback mechanism and the feedback obtained by the engagement feedback mechanism is exchanged (812) among the plurality of the class of stakeholders.

9. The method as claimed in claim 7, wherein the at least one selected (802) process comprises: selecting a format that is to be used for delivery of learning; assigning each member of the class of stakeholders one of a plurality of roles; using a tool of thinking; and using a set of protocols, wherein the set of protocols governs the rules in which the tool of thinking and the plurality of roles are to be deployed.

10. The method as claimed in claim 9, wherein the feedback (804) is obtained by the process feedback mechanism by a nudge, received from a process nudge module, in case the adherence to the process is below a predefined threshold as set by a process adherence threshold manager.

11. The method as claimed in claim 9, wherein the feedback (806) is obtained by the learning feedback mechanism by one or more diagnostic tools selected from a library of diagnostic tools, and the learning feedback mechanism sends a nudge by a learning nudge module if the learning measured by the diagnostic tool is below a predefined threshold as set by a learning threshold manager.

12. The method as claimed in claim 9, wherein the feedback (808) is obtained by the engagement feedback mechanism by calculating participation of the members of the class of stakeholders participating in the system (100), by calculating distribution and frequencyIllumine-00123 of participation of the members of the class of stakeholders, and by calculating performance of the at least one member of the class of stakeholders operating the master device (200M), and the engagement feedback mechanism sends a nudge by an engagement nudge module if the engagement measured by the engagement feedback mechanism is below a predefined thresholder as set by an engagement threshold manager.

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