KR-20260066825-A - Customized Job Training and Certification Support System and Method for Career Transitioners

Abstract

The present invention relates to a customized job training and certification acquisition support system for career changers. It is characterized by automatically generating a personalized learning path by analyzing the user's learning goals and current competencies, and by providing practice-based mock exams and real-time learning performance analysis functions for certification exam preparation. The system supports users in systematically acquiring the theoretical knowledge and practical skills required for a job transition and enables the sharing of learning experiences and mutual learning through community functions among users. Through this, users can increase their likelihood of obtaining certifications and efficiently acquire the essential competencies for a successful job transition.

Inventors

• 오보라

Assignees

• 오보라

Dates

Publication Date

20260512

Application Date

20241105

Claims (5)

1. Customized job training and certification acquisition support system for job transitions
2. AI-based learning path generation system that designs customized learning paths based on users' job goals and certification requirements
3. A system that includes practice-based mock exam features for obtaining certifications and provides an environment similar to the actual exam.
4. A feature that allows users to visually check their learning progress and receive feedback through real-time learning performance analysis.
5. A system that supports mutual learning through user-to-user learning community features

Description

Customized Job Training and Certification Support System and Method for Career Transitioners Customized Job Training and Certification Support System and Method for Career Transitioners The present invention relates to an online learning system and method that integrally provides an optimized, customized job training program and a certification acquisition process within a single system for users aiming to transition to a specific job role. The system is designed to support certification acquisition by presenting a personalized learning path through a comprehensive analysis of each user's individual learning goals, competencies, and the qualification requirements of the target job, and by providing real-time feedback on learning progress and practice performance. In particular, the system utilizes artificial intelligence (AI) and machine learning (ML) to collect and analyze user learning data in real time, and includes functions for designing and automatically adjusting user-customized learning paths. Through this, learners can effectively acquire the knowledge and skills required for their target job and obtain certifications, thereby facilitating a successful career transition. Traditionally, learners transitioning to a new job have had to complete various training courses and participate in different certification programs. However, existing online education platforms often limited themselves to providing fragmentary educational content rather than comprehensively covering the skills required for a specific role. Furthermore, job changers requiring certifications frequently failed to acquire sufficient practical skills related to their positions because they lacked access to practical training opportunities, mock exams, and performance analysis during the learning process. This invention aims to provide a comprehensive and systematic learning environment suitable for the job by including not only the theoretical knowledge necessary for transitioning but also a practice environment, mock exam functions, and performance analysis and feedback capabilities. Through this, the invention seeks to improve the inefficiencies inherent in existing learning processes and enable job changers to effectively acquire the necessary competencies. The system of the present invention is implemented as a web-based platform and a mobile application, allowing users to set career transition goals and certification acquisition goals after signing up. Once a user sets career goals and certification requirements, the system automatically designs a suitable learning path through machine learning and proposes a learning course tailored to the user's current capabilities. The learning process is divided into stages of theoretical foundation learning, practical skill improvement, and certification preparation, and users can check their progress and performance in real time at each stage. The certification preparation stage provides opportunities to adapt to the actual exam environment through practice-based mock exams, and additional customized learning materials necessary for the user are provided through real-time feedback and learning performance analysis tools. Furthermore, it continuously provides feedback on areas where the user is lacking, enabling the user to improve their learning performance independently. The present invention also includes a community function among users, creating an environment where learners can share their learning experiences and engage in mutual learning.