EduTech is a concept that goes beyond traditional E-Learning or smart learning, referring to the convergence of education and technology. To enhance learning effectiveness, EduTech integrates new technologies such as Virtual Reality (VR), Augmented Reality (AR), Artificial Intelligence (AI), and big data with content, solutions, devices, and Learning Management Systems (LMS), delivering an innovative learning experience distinct from previous methods.
In particular, there is a rapidly growing global demand for intelligent EduTech in public education, private education, and corporate training, making it a market with strong growth potential. LG CNS's EduTech platform business leverages core technologies—such as assessment, diagnosis, and recommendation—developed through years of service experience. These technologies are applied across various fields including language education, corporate training, and public education, enabling both teachers and learners to benefit. The business is centered on platforms and services that support the digital transformation of domestic and international educational institutions with limited
The AI digital textbook platform being developed by LG CNS is a large-scale education platform designed to process digital textbooks produced by all publishers in Korea, along with 121.9 billion learning data records. Based on AI and big data technologies, it diagnoses each student’s learning level, recommends personalized content, and supports policymakers in establishing education policies grounded in learning data. As a platform used by all students and teachers in Korea, it ensures stable operation under any circumstances and is designed with expert-driven services for smooth utilization. The AI digital textbook is the new standard for future education.
Leveraging its advanced big data analytics capabilities, LG CNS delivers personalized learning experiences to all students. The AI digital textbook platform built by LG CNS is designed to provide 5 million customized textbooks for 5 million students.
By precisely analyzing each student’s learning level and offering optimized learning content, the platform maximizes educational effectiveness. Furthermore, through online-based education, it overcomes regional and infrastructure limitations, enabling students nationwide to receive the same high-quality education. This contributes to bridging the education gap and driving innovation in public education through digital technology.
LG CNS is leading the digital transformation (DX) of education not only in Korea but also on the global stage. Partnering with Company A, Japan’s top language education provider in a market three times the size of Korea’s, LG CNS is exporting DX technologies across Japan’s edutech sector. This includes building an AI English conversation tutor app for public education, establishing an online learning management platform, and integrating and analyzing online and offline learning data. In addition, LG CNS’s AI Digital Class solution, which combines with various devices to build digital classrooms, has been selected as a World Bank-recognized digital innovation education solution and is being deployed where education DX is needed around the world.
Teachers can use the class creation feature to select textbooks and register students. Students can access the classes created by their teachers through the app and begin learning. The learning process follows a sequence of reading, listening, speaking, and role-play. Learning outcomes are evaluated based on similarity, fluency, and pronunciation, and students can view personalized feedback directly in the app. Teachers can monitor students’ progress and weaknesses through a dashboard and use this data to recommend personalized content, enabling customized instruction and learning support.
AI Digital Class is an EduTech platform equipped with AI-powered learning features and generative AI-based assessment and feedback functions. It provides achievement analytics, such as completion rates, learning progress, and weakness analysis, based on AI and big data analysis, allowing for personalized learning content tailored to each student’s level. Additionally, it supports class and content management for students, and offers detailed individual reports and dashboards for teachers. These features enhance teacher convenience and allow them to focus more on instruction, contributing to overall innovation in education.
A⁺CE generates customized AI scripts in real time for customer interactions. It can generate situation-specific scripts on an ongoing basis, such as scripts for sales and consultations, one-minute speeches, and content to share with customers in advance. Built on a Retrieval-Augmented Generation (RAG) architecture that leverages the proven know-how of top performers and unstructured data, A⁺CE delivers highly accurate scripts. It can respond immediately to rapid changes, such as new product launches or policy updates.
Realistic AI conversations ease the pressure of customer meetings and improve employees' ability to handle different situations. With over 80 AI personas and real-time digital human synthesis technology that replicates lip movements, facial expressions, and gestures, A⁺CE provides an immersive experience that feels like talking to a real person. Text-to-Speech (TTS) technology tailored to the customer's emotional state and multilingual environments supports a range of role-play modes, including practice, real-world, and free-form conversations.
A⁺CE assesses individual competencies through mock interviews, speaking tests, and multiple-choice and open-ended tests, while providing fast and objective feedback via voice- and video-based multimodal AI evaluation. Evaluation sets, including KPIs, scores, and grades, are compiled for each business domain and ready for immediate use. The platform also supports personalized coaching based on the analysis of individual weaknesses.
A⁺CE is not just a training tool. It is an AI-powered learning asset that becomes more refined the more it is used. Built on the following three strengths, it helps drive training innovation for your organization.
1. A Virtuous Cycle That Improves with Use
The results of content creation, learning, and assessment feed back into content improvement, creating a virtuous cycle in which the platform becomes more refined the longer it is in use.
2. A Single Engine Proven Across Multiple Industries
We have extended the same engine across diverse industries, including insurance, manufacturing safety, and pharmaceutical quality control. Organizations new to A⁺CE can choose proven technology instead of taking on the risks of being the first to try it.
3. A Flexible and Stable Architecture Based on AI Technology
Using Retrieval-Augmented Generation (RAG) technology, A⁺CE incorporates your organization's latest data and trends in real time and supports both SaaS and on-premises deployments. By adapting flexibly to your security requirements and evolving technology, A⁺CE lays the foundation for a long-term partnership.
A⁺CE is a modular platform that can be applied across the entire workflow of various business functions, including sales, customer service, and human resources (HR). Rather than aiming for a company-wide rollout from the start, we recommend starting with a pilot in teams or roles where the benefits will be felt quickly. For example, starting with areas that have clear business challenges, such as training new sales representatives where turnover is high or addressing recurring customer service quality issues, can help deliver early results.
A⁺CE is LLM-agnostic by design, so it is not locked into any specific model. Depending on your environment and security requirements, it supports both SaaS-based and on-premises LLMs, allowing you to choose the model that best fits your needs from multiple options.
Yes, it can. By enabling A⁺CE to learn from your existing training materials and the proven know-how of top performers, we can create scripts and evaluation criteria tailored to specific industries and roles. Thanks to its flexible, modular design, you can also choose and deploy only the features you need.
In the early stages of adoption, we recommend running a small-scale pilot to gather real performance data, then working with business units to flesh out the rollout plan. This approach helps build buy-in across the organization and ensure the service takes hold smoothly.
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