In South Korea,a burgeoning edtech company is making waves with its approach to personalized learning. Linamond, founded by kim Eun-hye, CEO of the Korea AI Future Research Institute, is leveraging artificial intelligence to tailor education to individual needs, spanning from early childhood to doctoral research. The company’s initiatives are grabbing attention, with over 35,000 doctoral candidates following Kim’s insights.

Linamond’s rise reflects South Korea’s broader push for AI-driven innovation. As highlighted in a 2022 report, “The Korean government has implemented various policies to support software (SW) and artificial intelligence (AI) education to secure national competitiveness since 2015.” This commitment provides fertile ground for companies like Linamond to flourish.

The company’s flagship offering focuses on assisting doctoral researchers in utilizing AI to enhance their research capabilities effectively and ethically. Kim Eun-hye stated, “We will open a new possibility of Korean education through AI-based customized education services.”

Linamond’s Origin and Vision

Kim eun-hye’s background is a blend of academic rigor and practical experience. holding a Ph.D. from KAIST (korea Advanced Institute of Science and Technology) and prior experience as a data analyst at samsung SDS, she realized her knack for simplifying complex concepts and guiding others through research.

I earned a Ph.D. from KAIST, worked as a data analyst at Samsung SDS, analyzed various data, and performed AI modeling based on machine learning. Afterwards, I realized that I would easily explain a arduous concept to someone and see the other person’s positive change. I had an excellent idea of ​​writing and researching a thesis. the research method used in the form of AI information and the know -how of the graduate school in the form of a graduate school, and as a result, 35,000 doctoral researchers were followed by the graduate school. We offer seminars and coffee chat.

That insight led to the creation of Linamond, which quickly amassed a ample following on Instagram. The company offers seminars and informal “coffee chats” to foster a community and share knowledge.

Kim envisions AI reshaping education across all age groups.

I believe that AI can change education by maximizing the possibility of individuals from infants to adults and graduate researchers. In early childhood education, children’s behavioral data can be analyzed, identifying interest and talent, and providing fedbacks.In addition, the adult learner and researchers are able to focus on creative thinking by replacing repetitive work.

This vision aligns with the growing trend of personalized learning in the U.S., where adaptive learning platforms like Khan Academy and Coursera are gaining traction. these platforms use algorithms to tailor content and pacing to each student’s individual needs, providing a more effective and engaging learning experience.

Current Projects and Future Directions

Linamond is currently focused on several key projects:

• Developing personalized educational services applicable across all ages and learning stages.
• creating personalized AI tutors through natural language instructions. Imagine a student being able to ask an AI questions in plain English and receive tailored guidance.
• Establishing an AI-powered mentoring platform leveraging its existing network of doctoral researchers.

these projects underscore the potential of AI to address some of the key challenges facing education systems worldwide, including the need for more personalized learning experiences and greater access to quality mentoring.

Kim also highlights the importance of “Emotion AI” and “Multimodal” technology in the future of education.

One of the technologies I pay attention to is ‘Emotion AI’.As AI recognizes human expressions, voice tones, and nuances of horse, it is possible to understand and respond to emotions, so it is possible to design educational design considering the emotions and motivations of learners. If the ‘Multimodal’ technology is being developed, the diversity and accessibility of the educational contents will be expanded to this, and the more precise personalized education will be made to reflect the learning route in real time. We are preparing for an era where the reflected educational experience is everyday.

Emotion AI, which analyzes facial expressions and voice tones, could revolutionize how educators understand and respond to students’ emotional states.Multimodal technology,incorporating various forms of media,will make learning more engaging and accessible. The implications extend beyond K-12, impacting corporate training programs and professional development. Imagine AI systems adjusting training modules based on an employee’s real-time emotional responses, ensuring optimal learning and retention.

Addressing Concerns and Challenges

While AI offers enormous potential, its integration into education isn’t without its critics. Concerns about data privacy,algorithmic bias,and the potential for over-reliance on technology are frequently raised.

For example, some educators worry that AI-driven personalized learning could lead to a “filter bubble” effect, where students are only exposed to information that confirms their existing beliefs. Others are concerned about the potential for AI to perpetuate existing inequalities if algorithms are trained on biased data.

To address these concerns, it’s crucial that AI systems are developed and deployed ethically and transparently. This includes ensuring data privacy,mitigating algorithmic bias,and providing educators with the training and support they need to effectively integrate AI into their classrooms.

The Future of AI in Education

Linamond’s work exemplifies the transformative potential of AI in education. However, successful integration requires a balanced approach that prioritizes ethical considerations, data privacy, and educator training.

Linamond’s Courses: An Overview

Linamond’s AI courses,especially “How to write a paper using AI,” have proven incredibly popular,selling out within a day of opening registration.

How to write a paper using AI is closed only in one day, the core of the lecture is not just a tool to use it, but it deals with how to effectively use AI based on the understanding of the essence and principle of the thesis. this is because of this point of view from the literature search and summary.

The course’s appeal lies in its focus on the underlying principles of academic writing, combined with practical guidance on leveraging AI tools for literature reviews and data analysis. This approach resonates with researchers who want to use AI to enhance, not replace, their critical thinking skills.

Linamond’s Broader Vision

Kim Eun-hye envisions a future where AI empowers individuals to discover and cultivate their unique talents.

Our education system so far has been evaluated and led by children in certain standards and frameworks,which have not only suppressed the creativity and personality of children,but also led to a problem that makes it difficult for graduate researchers to find creative and new research topics. The uniform educational system is transformed into AI technology to discover and grow its own talents and potential for all individuals. It is my final goal to create an environment.

This vision aligns with a growing movement to personalize education and empower students to take ownership of their learning journeys. As AI continues to evolve, it will likely play an increasingly significant role in helping educators achieve this goal.

Advice for Those Interested in AI

Kim offers advice to those venturing into the world of AI.

As the AI era opens, I feel that it is difficult to have a competitive edge to meet the average standards. Each person’s unique strengths and directions have become more important. The person who defines the problem and solves it in his own way than the person who solves the problem given the answer will have a greater influence. As a person who finds it, believes in it, and starts the journey first, I support you to make your own way with AI.

Her viewpoint emphasizes the importance of creative problem-solving. In a world increasingly shaped by AI, the ability to define problems and devise innovative solutions will be more valuable than simply knowing how to find the “right” answer.