In February, Professor Cho Young-hwan, the director of the Institute for Learning Sciences, conducted an interview with the Korean HRD Association's "Monthly HRD" magazine. Through the interview, he shared a deep understanding of the institute's goals and activities, emphasizing the need for personalized education centered on learning science. The discussion also covered how technology could be applied to corporate HRD, in addition to innovating education centered on learners.

Professor Cho clarified the fundamental difference between the often-confused concepts of 'education' and 'learning.' While 'education' requires the presence of an 'instructor,' learning can occur with the 'learner' alone. This highlights the importance of the learner's capabilities, with factors like self-directed learning and metacognition playing significant roles. Thus, personalized learning is crucial as it supports and facilitates learners in studying what they need proactively.

Support for personalized learning can include AI-based chatbots or generative AI. Utilizing learning tools equipped with generative AI allows for the real-time analysis of a learner's level and progress, providing appropriate feedback and scaffolding when needed. The collected data can later be analyzed by instructors to offer customized diagnostics and prescriptions for different groups of learners.

As generative AI continues to evolve, it impacts education both positively and negatively. However, technology will continue to advance, and we cannot escape this future. If we use advanced technologies, including artificial intelligence, merely as tools, our capabilities and value will diminish. Therefore, a new relationship with AI, beyond mere utilization, is necessary. We should view AI as an entity with equal status and as a cooperative partner. This requires not only improving AI functionalities but also developing human capacities for AI collaboration.

In the context of corporate HRD, when developing educational programs, it is essential to actively use various technologies along with generative AI to provide hyper-personalized learning experiences. This approach allows for the collection of diverse learner data, which can be utilized for future program development and operation.

Support for personalized learning could include AI-based chatbots or generative AI. Utilizing learning tools equipped with generative AI enables real-time analysis of a learner's level and progress, providing timely feedback and scaffolding. The collected data can later be analyzed by instructors to tailor diagnostics and prescriptions for different learner groups.

Please find the full interview attached for further interest.

Monthly HRD:  https://khrd.co.kr/news/view.php?idx=5054773