KR102623619B1 - System and method for providing leadership coaching using artificial intelligence - Google Patents

Abstract

The leadership coaching provision system using artificial intelligence can maximize the effectiveness of leadership coaching education by systematically accumulating and managing the level differences and learning level achievement of individual service users and providing optimized educational coaching and feedback to each individual. In addition, it provides an optimized coaching service model for Korean workers and provides applications, AI, database, and notification functions so that coaches matched with customers can conduct convenient and effective coaching sessions.

Description

System and method for providing leadership coaching using artificial intelligence {SYSTEM AND METHOD FOR PROVIDING LEADERSHIP COACHING USING ARTIFICIAL INTELLIGENCE}

This disclosure relates to a system and method for providing leadership coaching, and specifically, to a platform that continuously provides a data-based structured leadership coaching process and accumulates data necessary for artificial intelligence data learning.

Unless otherwise indicated herein, the material described in this section is not prior art to the claims of this application, and is not admitted to be prior art by inclusion in this section.

In the ‘post-corona’ era, untact (non-face-to-face) distance education has become routine. It has been over a year since video classes became popular in elementary, middle, high schools, and universities. From educational publishing companies to neighborhood tutoring academies, real-time video education is being provided. Internet lecture (in-person lecture) companies and study materials companies are moving beyond online education to artificial intelligence (AI) education. With the expansion of video education, business solution companies are also gaining influence in the education market.

A year has passed since distance learning was introduced in April last year. New and old education companies are busy developing edutech that supports individually tailored learning. The foundation for private education, such as academies and tutoring, is already moving online. According to the '2020 Elementary, Middle and High School Examination Expenses Survey' conducted jointly by the Ministry of Education and the National Statistical Office, the total amount of private education expenses last year was KRW 9.2849 trillion. Due to restrictions on operations such as academies due to COVID-19, it decreased by 11% compared to 2019. The industry predicted that the decline in private education expenses is a 'temporary phenomenon' and that demand for tutoring and online learning will increase further due to concerns about learning gaps.

The education industry predicted that the size of the related market would grow rapidly as offline education, such as schools and academies, rapidly moved to online and digital. As of 2019, the size of the e-learning market is KRW 3.9516 trillion in sales. The e-learning market has grown mainly around companies specializing in online education and e-learning. Since educational informatization began from books to computers (CD-ROMs) in the 1990s, a new education market is opening with the spread of high-speed Internet in the early 2000s and the development of digital technology in 2021.

The movement of visiting learning companies such as Kyowon, Woongjin, and Daekyo, as well as Mega Study, Etoos, and Emergency Education, which focus on entrance exams and online lectures, is also accelerating. In addition, educational publishing companies such as Cheonjae Textbook and Geumseong Publishing are investing heavily in digital education. Since Ice Cream Media introduced Korea's first smart learning service in 2011, competition in the related market has intensified. Global companies such as Google, Microsoft (MS), and Zoom, as well as domestic internet platform companies such as Naver and NHN, are also expanding their scope in the education market. Classroom, a Google remote learning support tool, and Zoom, a video solution, are known to be used by more than half of high school teachers. It has emerged from an auxiliary means of supporting the digital education environment to a core infrastructure. Naver launched ‘Whale Space for Education’, and NHN Edu expanded its services from school notifications to learning evaluation diagnosis. The joint alliance to become the winner of digital education is in full swing. Woongjin ThinkBig acquired a stake in 'Kid Aptive', a Silicon Valley AI startup, and signed an exclusive business license agreement in Korea for the US-based online education platform 'Udemy'. The teacher partnered with Lux Robot for coding education and developed related products. Following the acquisition of math startup 'Nori', Daekyo also acquired 'Education', a school management program company. Cheonjin Education opened an edtech center early on and started discovering startups. Ice Cream Edu is also preparing to collaborate with AI-specialized startups and enhance its AI learning program.

Thanks to the characteristics of the MZ generation that values self-directed life and the expansion of the online education market, the growth of the open education platform market is expected to further accelerate. However, current online education platforms are focused only on providing educational content for elementary, middle, and high school students, and education platforms that focus on worker education such as leadership are insufficient.

1. Korean Patent No. 10-1591799 (2016.01.29) 2. Korean Patent No. 10-2021425 (2019.09.06)

The leadership coaching provision system using artificial intelligence according to the embodiment continuously provides a data-based structured leadership coaching process and accumulates data necessary for artificial intelligence big data learning. In the embodiment, the DLDP (Data-driven Leadership Development Platform) data-driven leadership development platform continuously manages productivity and competitiveness issues faced by organizations, teams, and individuals.

Additionally, in the embodiment, appropriate coaching is provided by connecting professional coaches and workers through an application installed on the smart terminals of customers and coaches. In addition, AI is used to analyze customer information and diagnosis results, identify and select candidate coaches to be matched, so that a coach suitable for the customer is selected. In addition, based on AI technology, it reports diagnosis results and provides regular feedback through scheduling, video calls, and recording.

A leadership coaching provision system using artificial intelligence according to an embodiment includes a matching module that collects customer profile data from the customer's smart terminal and calculates a coach matching candidate based on the customer profile data diagnosis results; Notification module that stores matching information between customers and coaches, generates coaching schedule data, and notifies customers and coaches of the coaching schedule; A content provision module that recommends educational content including video calls, external materials, and test data based on customer analysis results, and provides recommended coaching education content; and a coaching result analysis module that collects customer response information to effectiveness questions after completion of coaching training, compares customer response information with the initial diagnosis, analyzes changes, and calculates training performance; Includes.

A method of providing leadership coaching using artificial intelligence according to another embodiment includes the steps of: (A) the matching module collects customer profile data from the customer's smart terminal and calculates a coach matching candidate based on the customer profile data diagnosis results; (B) the notification module stores matching information between the customer and the coach, generates coaching schedule data, and notifies the customer and coach of the coaching schedule; (C) The content provision module recommends educational content including video calls, external materials, and test data according to customer analysis results, and provides recommended coaching education content; and (D) the coaching result analysis module collects the customer's response information to the effectiveness question after the end of the coaching training, compares the customer's answer information with the initial diagnosis, analyzes changes, and calculates the training performance as a coaching result. analysis module; Includes.

The leadership coaching provision system using artificial intelligence as described above can maximize the effectiveness of leadership coaching education by systematically accumulating and managing the level differences and learning level achievement of individual service users and providing optimized educational coaching and feedback to each individual. You can. In addition, it provides an optimized coaching service model for Korean workers and provides applications, AI, database, and notification functions so that coaches matched with customers can conduct convenient and effective coaching sessions.

The effects of the present invention are not limited to the effects described above, and should be understood to include all effects that can be inferred from the configuration of the invention described in the detailed description or claims of the present invention.

Figure 1 is a diagram showing the configuration of a leadership coaching provision system using artificial intelligence according to an embodiment
Figure 2 is a diagram showing a data processing block of the coaching providing server 200 according to an embodiment.
Figure 3 is a diagram showing a customer information card, which is one of customer profile data according to an embodiment.
Figure 4 is a diagram showing a holistic leadership chart, which is one of customer profile data according to an embodiment.
Figure 5 is a diagram showing the current point of the holistic leadership chart according to an embodiment
Figure 6 is a diagram showing the target point score of the holistic leadership chart according to an embodiment
Figure 7 is a signal flow diagram of a leadership coaching providing system using artificial intelligence according to an embodiment

The advantages and features of the present invention and methods for achieving them will become clear by referring to the embodiments described in detail below along with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and may be implemented in various different forms. The present embodiments are merely provided to ensure that the disclosure of the present invention is complete and to provide common knowledge in the technical field to which the present invention pertains. It is provided to fully inform those who have the scope of the invention, and the present invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout the specification.

In describing embodiments of the present invention, if it is determined that a detailed description of a known function or configuration may unnecessarily obscure the gist of the present invention, the detailed description will be omitted. The terms described below are terms defined in consideration of functions in embodiments of the present invention, and may vary depending on the intention or custom of the user or operator. Therefore, the definition should be made based on the contents throughout this specification.

Figure 1 is a diagram showing the configuration of a leadership coaching provision system using artificial intelligence according to an embodiment.

Referring to FIG. 1, a leadership coaching providing system according to an embodiment may be configured to include a customer's smart terminal 100 and a coaching providing server 200.

In the coaching system according to the embodiment, customers receiving coaching may include knowledge workers, young people, entrepreneurial college students, graduate students, etc., and people (coaches) who provide coaching services include international certified coaches, domestic certified coaches, field experts, professors, etc. May include instructors, etc. Since conventional coaching services have provided high-cost, cumbersome, and unstructured coaching, leadership coaching requires many tasks that coaching participants and providers must perform themselves, such as advance preparation, meetings, log file management, and document organizing.

However, the coaching system according to the embodiment provides a new low-cost and convenient structured coaching service by building a data-based leadership development platform, and is equipped with a Korean coaching model to provide knowledge materials that reflect customer needs. In addition, the coaching provision system application according to the embodiment can support AI, database, and notification services so that coaches can conduct convenient and effective coaching sessions. In addition, the leadership coaching provision system using artificial intelligence according to the embodiment continuously provides a data-based structured leadership coaching process and accumulates data necessary for learning coach and customer data and artificial intelligence big data. Additionally, in the embodiment, the DLDP (Data-driven Leadership Development Platform) data-driven leadership development platform allows organizations, teams, and individuals to continuously manage productivity and competitiveness issues facing them.

In particular, in the embodiment, appropriate coaching is provided by connecting professional coaches and workers through an application installed on the smart terminal of the customer and coach, and AI is used to analyze customer information and diagnosis results and identify and select a candidate coach to be matched. , ensures that a coach suitable for the client is selected. In addition, based on AI technology, it reports diagnosis results and provides regular feedback through scheduling, video calls, and recording.

In one embodiment, by building and providing an innovative platform equipped with data management and artificial intelligence technology, customers can connect with coaches anytime, anywhere via the Internet. In addition, by building data related to the overall capabilities of customers and professional coaches, we provide various services necessary to strengthen customers' capabilities, and the in-house AI provided in the example includes scheduling, video calls, recording, diagnosis report, and regular feedback. Create and deliver it to customers so that coaching can be conveniently done with one application.

In addition, the leadership coaching provision system using artificial intelligence according to the embodiment builds a coaching service model optimized for the Korean context. For example, we build and provide a coaching feedback cycle and method suitable for Korean workers, a coaching process, and UX/UI that takes users into consideration. Additionally, in an embodiment, knowledge materials for holistic growth needed by customers and professional coaches can be shared and continuously provided in connection with an external network, and a content pool in the field of knowledge technology can be built for this purpose.

Figure 2 is a diagram showing a data processing block of the coaching providing server 200 according to an embodiment.

Referring to FIG. 2, the data processing block according to the embodiment will include a matching module 210, a notification module 220, a content provision module 230, a coaching result analysis module 240, and a database 250. You can. The term 'module' used in this specification should be interpreted to include software, hardware, or a combination thereof, depending on the context in which the term is used. For example, software may be machine language, firmware, embedded code, and application software. As another example, hardware may be a circuit, processor, computer, integrated circuit, integrated circuit core, sensor, Micro-Electro-Mechanical System (MEMS), passive device, or a combination thereof.

The matching module 210 collects customer profile data from the customer's smart terminal and calculates coach matching candidates based on the customer profile data diagnosis results. In the embodiment, the matching module 210 identifies the customer's strengths and weaknesses based on the customer profile data diagnosis results, generates a coaching matching candidate ranking according to the competency information that the customer wants to strengthen, and provides the coaching matching candidate ranking information to the customer. Can be provided together. Through this, the optimal match between customers and coaches can be achieved, and data on matched customers and coaches can be secured and utilized to provide convenient coaching anytime, anywhere. In embodiments, customer profile data may include a Client's Whole-person Card and a Whole-person Leadership Chart.

The notification module 220 stores matching information between the customer and the coach, generates coaching schedule data, and notifies the customer and coach of the coaching schedule. For example, the notification module 220 stores matching information in a database, stores scheduling data when a customer selects a schedule, and provides notifications to the customer and coach according to the saved schedule.

The content provision module 230 recommends educational content including video calls, external materials, and test data according to customer analysis results, and provides recommended coaching education content. In an embodiment, coaching education content recommended from various web sources such as Google, YouTube, and TED may be provided through an API (Application Programming Interface).

In addition, the content provision module 230 performs structured leadership coaching according to a global coaching model based on the individual profile data analysis results, competency analysis results, and customer response information analysis results. For example, the content provision module 230 can analyze customer data to generate a report, and search for and provide coaching content needed by the customer using artificial intelligence-based keywords.

Additionally, the content provision module 230 is equipped with a Korean coaching model and can provide knowledge materials that reflect customer needs. In addition, artificial intelligence reflects customer needs, provides regular feedback, and guides customer continuous growth support. In addition, the content provision module 230 supports activities related to customer relationships, which were previously handled directly by coaches, based on artificial intelligence, in order to continuously secure and manage customers. For example, the content provision module 230 analyzes customer data, generates a report, and searches and provides necessary knowledge information to customers using artificial intelligence-based keywords. Additionally, during the coaching session, we provide necessary feedback to customers and support their growth, allowing them to become long-term customers rather than one-time customers. In addition, the coaching process using artificial intelligence supports educators to handle a larger number of customers.

The coaching result analysis module 240 collects the customer's answer information to the effectiveness question after the coaching training is completed, compares the customer's answer information with the initial diagnosis, analyzes changes, and calculates the training performance. In the embodiment, the answers to the effectiveness questions include competency evaluation results, coaching satisfaction, coach satisfaction, content satisfaction, intention to proceed with future coaching, willingness to recommend to acquaintances, and wishes for improvement, etc. of customers who actually received coaching. Coaching evaluation information may be included.

Additionally, the coaching result analysis module 240 presents future necessary training and education processes to the customer according to the calculated training performance information. For example, the coaching result analysis module 240 may analyze the customer's coaching evaluation information included in the pre- and post-coaching competency evaluation results and effectiveness questions to extract training and education processes required for the customer in the future.

The coaching provision system using artificial intelligence according to the embodiment allows providing an optimized coach and leadership training process to customers through adaptive feedback learning. Additionally, by allowing clients to choose how and at what pace they progress through coaching content, the learning environment remains flexible and allows clients to focus on their individual learning goals. Adaptive feedback learning according to embodiments is based on customer data and, in some cases, takes a non-linear approach to training and correction. In embodiments, the customer may be able to predict the type of content and resources the customer needs at a particular point in time after adjusting to customer interactions and demonstrated levels of performance. Adaptive feedback learning can align courses to state standards and allow customers to master difficult content before moving on, rather than simply covering it and moving on. Additionally, some coaching processes are adjusted based on the results of digital assessments at the end of classes, and clients' work can be monitored in real time and content tailored to the client's coaching performance.

Figure 3 is a diagram showing a customer information card, which is one of customer profile data according to an embodiment.

Referring to Figure 3, the holistic card is a card that organizes the customer's holistic data into one card, and the app platform according to the embodiment saves time and effort by coaches previously manually creating customer profiles and managing data. Save money so you can organize it all at once. The Jeonin Card can be used by coaches regardless of the type of coaching, and customers can also refer to their cards at any time to promote self-growth and development.

The main components of the holistic card are personality, strengths, interests, job values, vision, and mission, and each content can be created by taking the contents of existing diagnostic sheets that can be used. In an embodiment, a customer may receive and fill out a separate paid or free diagnosis, or may fill out the card contents through a paid or free link provided on the app. In an embodiment, the customer writes all of the content on the card, and coaches can add or modify the content of the paid or free diagnostics they use to the card. Customer diagnostic tools according to the embodiment include MBTI, Enneagram, and Berkman diagnosis for personality diagnosis, three customer self-presentation strengths for strength diagnosis, multiple intelligence diagnosis, VIA strength virtue diagnosis, occupational interest test for interest diagnosis, and occupational values. Diagnosis may include a job value test, etc. For vision diagnosis, the customer may present a sentence of his or her vision, or for mission diagnosis, the customer may present a sentence of his or her life's mission, or the customer may present an autobiographical statement or slogan. You can.

The Whole-person Leadership Chart is a tool for leadership diagnosis and development used during coaching in the example. In the example, the whole-person leadership chart is divided into five areas to provide customers with an understanding of leadership. Implement by specifying. For evidence-based coaching based on examples, the holistic leadership chart can clearly show that the client has achieved leadership development and specifically shows which areas will be improved from the current point to the future target point. The holistic leadership card is continuously updated, allowing customers who initially had low leadership to see their leadership develop as the area of leadership expands over time.

Figure 4 is a diagram showing a holistic leadership chart, which is one of customer profile data according to an embodiment.

Referring to FIG. 4, the holistic leadership chart according to the embodiment may be composed of Oneness, Competency, and Character parts. Competency is the domain of doing, character is the domain of being, and unity measures the degree to which the customer has the same interests as the group to which he or she belongs. This is a measurement index to provide basic conditions for the customer and the group to coexist, regardless of which group the customer belongs to. Examples of measurement details include the group's mission, vision, core values, formal standard behavior for the entire group, informal standard behavior, operational goals, each member's personal profile, character, strengths and weaknesses, working style, communication style, and expectations of each other. It may include content, etc.

Competencies in a leadership chart may include technical skills and relational skills. Technical skills are specifications and refer to various certifications or the ability to perform specific tasks. Technical skills are technical capabilities that customers must use for work performed in the group, and may include financial management, accounting, PM, HRM, design thinking, MS Office, planning, strategy, and digital marketing. Relational skills are interpersonal skills that must be used to achieve the customer's role, purpose, and goals, and include detailed items such as listening, questioning, feedback, conflict management, expectation management, stress management, and delegation.

The characteristics of the leadership chart are divided into identity and relational characters. Identity is information that corresponds to the essence of who you are, and is information that becomes the standard for your beliefs and actions, and determines your life. It can include details of purpose, mission, vision, vision description, values, and core values. Relational character refers to the character that should be considered most important when interacting with a customer's group, and may include detailed items such as transparency, honesty, patience, resilience, gratitude, trustworthiness, empathy, creativity, and sincerity.

In the embodiment, the leadership chart is converted into data as current (As-Is) and goal point (To-Be) and output to customers and coaches on the app. In the embodiment, everything can be displayed on a 5-point scale, and the current point is diagnosed by the client and coach through a coaching session. The score at the target point is the score the customer wants to achieve through coaching. Depending on the embodiment, the scale score may vary from 10 to 100 points.

Figure 5 is a diagram showing the current point of the holistic leadership chart according to an embodiment, and Figure 6 is a diagram showing the target point score of the holistic leadership chart according to the embodiment.

The customer described in the leadership chart shown in Figure 5 has a very high technical skill of 5 points, so he has sufficient technical capabilities to perform the given task, but his relational skills are average at 3 points, and his relational personality is low at 2 points. This means that there is a high possibility of not being able to demonstrate leadership in tasks that require collaboration, and the unity value is as low as 2 points, so it is difficult to say that the customer is consistent with the organization, and the organization is unlikely to evaluate the customer as having leadership. However, through the coaching provided in the embodiment, the customer can grow his or her holistic leadership, as shown in FIG. 6. Referring to Figure 6, the customer plans efforts to complement other elements while maintaining technical skills, which are his strengths, at 5 points. Accordingly, a plan is created to achieve holistic growth to demonstrate higher leadership by further supplementing relational skills, consistency with the organization, relational character, and identity.

In an embodiment, when a customer and a coach decide on a schedule, if the customer wants to receive coaching, he or she can view the schedules of recommended coaches on the app and select a time that is convenient for him or her. Because coaches deal with multiple clients, they frequently update their schedules, and these updated schedules allow future clients to check and set their own schedules. That is, in the embodiment, real-time schedule availability is updated and displayed on the calendar on the application so that it can be shared with potential customers.

Below, we will sequentially explain how to provide leadership coaching using artificial intelligence. Since the operation (function) of the method for providing leadership coaching using artificial intelligence according to the embodiment is essentially the same as the function of the system for providing leadership coaching using artificial intelligence, descriptions overlapping with FIGS. 1 and 2 will be omitted.

Figure 7 is a signal flow diagram of a leadership coaching provision system using artificial intelligence according to an embodiment.

Referring to FIG. 7, in the embodiment, in step S10, the customer's basic profile information including the customer's education, career, employment status, desired occupation, desired field of coaching, etc. is collected from the customer's smart terminal and sent to the coaching providing server 200. send. In step S20, the coaching server diagnoses strengths and weaknesses based on the customer's basic profile information received, and calculates a diagnosis report in step S30. Thereafter, in step S40, coach matching candidates and matching candidate rankings are generated according to the report calculation results and transmitted to the smart terminal 100. In step S50, when a coach included in the matching candidates received from the smart terminal is selected, in step S60, the coaching provision server provides coaching content for the customer and conducts coaching. At step S70, the coaching provision server can recommend feedback and learning materials to customers. After coaching is completed, in step S80, answer information to effectiveness questions is collected from the customer on the smart terminal. In the embodiment, the answers to the effectiveness questions include competency evaluation results, coaching satisfaction, coach satisfaction, content satisfaction, intention to proceed with future coaching, willingness to recommend to acquaintances, and wishes for improvement, etc. of customers who actually received coaching. Coaching evaluation information may be included. The coaching evaluation information collected from the smart terminal is transmitted to the coaching provision server, and in step S90, the coaching provision server analyzes the coaching evaluation information and the customer's pre- and post-coaching competency evaluation results to diagnose the customer's coaching results and recommend future training and education processes. do. In step S100, the smart terminal checks the competency evaluation results and future training and education process recommendation information from the coaching provision server.

Additionally, in the embodiment, the coaching provision server receives customer information and stores it in the member information database, and when the customer registers the app on his or her smart terminal and answers the diagnostic questions, artificial intelligence analyzes the customer's competency diagnosis results. . The diagnosis results are stored in the database and the customer can check the diagnosis results. Afterwards, the coaching provision server analyzes customer and coach information through artificial intelligence to extract matching candidate coaches, and the customer confirms and selects the matching candidate coaches. Afterwards, the matching information is stored in the database. When a customer selects a schedule, the scheduling database is saved and the server notifies the customer and coach according to the schedule, and the customer and coach can conduct a video call according to the selected schedule. In addition, the coaching provision server periodically delivers feedback notifications to customers, and external materials such as YouTube, Google Ted, etc. are provided to customers through API. Coaching materials according to the embodiment can be recommended by artificial intelligence by analyzing member information. At the end of the coaching training, clients can answer effectiveness questions and artificial intelligence analyzes the answers and compares them to the initial diagnosis to suggest change analysis, performance and future training needs.

The disclosed content is merely an example, and various modifications and implementations may be made by those skilled in the art without departing from the gist of the claims, so the scope of protection of the disclosed content is limited to the above-mentioned specific scope. It is not limited to the examples.

Claims (7)

In a leadership coaching provision system using artificial intelligence,
A matching module that collects customer profile data from the customer's smart terminal and calculates coach matching candidates based on the customer profile data diagnosis results;
A notification module that stores matching information between customers and coaches, generates coaching schedule data, and notifies customers and coaches of the coaching schedule;
A content provision module that recommends educational content including video calls, external materials, and test data based on customer analysis results, and provides recommended coaching education content; and
After the coaching training is completed, a coaching result analysis module that collects the customer's answer information to the effectiveness question, compares the customer's answer information with the initial diagnosis, analyzes changes, and calculates the training performance; contains
The customer's response information to the above effectiveness question is
As coaching evaluation information of customers who received coaching
It includes competency evaluation results, coaching satisfaction, coach satisfaction, content satisfaction, intention to continue coaching in the future, willingness to recommend it to acquaintances, and wishes for improvement.
the coaching result analysis module; silver
Based on the calculated training performance information, we present the necessary training and education processes to customers in the future.
the content provision module; silver
Provides recommended coaching education content through API (Application Programming Interface),
Leadership coaching is performed by creating a structured coaching process according to the global coaching model based on the individual profile data analysis results, competency analysis results, and customer response information analysis results,
We analyze customer data to create reports, search for and provide the coaching content customers need using artificial intelligence-based keywords, and
During the coaching session, we regularly provide necessary feedback to the customer.
the coaching process; Is
Adaptive Feedback Learning, which adapts based on the results of a digital assessment conducted at the end of a lesson, adjusts based on coaching outcomes achieved by monitoring the client's work in real time, and predicts the type of content and resources the client needs at any given point in time. is adjusted according to
the content provision module; silver
A leadership coaching provision system that provides a Whole-person Leadership Chart that records customer profile information and a Whole-person Leadership Chart for leadership diagnosis. delete delete delete delete delete delete