Eunkyung Hwang

By Hwang Eunkyung

The artificial intelligence (AI)-based problem learning system quickly and accurately performs problem setting and scoring using algorithm. In this process, the learner’s level of prior learning is identified, the subject and quantity to be learned are determined and problem learning is provided for each learner. The basic use of AI-based problem learning enhances ease and fairness in performing assignment and evaluation and provides data that can strengthen interactions between instructors and students. Above all, the biggest advantage is the possibility of helping individual learners with different levels of prior learning to strengthen basic learning. To this end, instructors need to understand the technical aspects of the system, check the content system as an educational goal set by the instructor, and make efforts to supplement the necessary parts. When AI-based problem learning is used in connection with classes, a technical understanding of a system that can utilize various functions of the AI system more efficiently is required. In addition, instructional design is needed to expand thinking and strengthen capabilities through the process of structuring and understanding the contextual relationship between concepts based on the learned knowledge of students using AI-based problem learning systems.

Part of the book: Artificial Intelligence for Quality Education [Working title]