스킵네비게이션

KOR
사이트맵

Master’s Programs

Artificial Intelligence Education

The modern society is developing into the Intelligent Information Society. And in an intelligent information society composed of information and communication technology infrastructure (ICBM; IoT + Cloud + Big Data + Mobile) and artificial intelligence technology, soft power is becoming important. Accordingly, we are striving to revitalize software education and lay the foundation for artificial intelligence convergence education. In the AI Education major, students learn the main principles and core technologies related to artificial intelligence, and explore education using artificial intelligence based on the acquired technology. In detail, research trends, curriculum, teaching theory, textbook development and research, teaching and learning methods, educational evaluation, and educational environment are explored in AI education. It also explores new educational content, forms, and methods that are differentiated from existing education.

  • Tel+82-53-620-1430
  • LocationSangrok Education Center No.404

Faculty

Providing No., Name, Major, Areas of Interest and E-Mail information through Early and Childhood Art Education and faculty
No. Name Major Areas of Interest E-Mail
1 Park, Phan-woo
  • AI Programming Research : It comprehensively deals with artificial intelligence programming, learns programming techniques of major AI technologies such as machine learning, deep learning, and natural language processing, and learns how to implement and evaluate AI models through real projects.
  • AI Convergence Education Field Study : We focus on carrying out convergence education projects with AI in various fields, and explore the applicability of AI convergence education.
 Computer Education, AI Education, distance education pwpark@dnue.ac.kr
2 Yoo In-hwan
  • AI and Physical Computing : It deals with the convergence of artificial intelligence and physical computing and develops creative problem-solving skills by carrying out various physical computing projects through the combination of hardware and AI software such as sensors and actuators.
  • AI Digital Education Seminar : It explores the latest research trends in AI and digital education, analyzes related papers to strengthen research capabilities in the field of AI digital education, and develops the ability to discover future research topics.
 Computer Education, AI Education bluenull@dnue.ac.kr
3 Bae Young-kwon
  • AI Utilization Education : It learns educational methodologies and practical cases using AI, explores how to apply AI technology to education, and learns various educational application methods such as developing educational content, providing customized learning, and evaluating educational performance.
  • AI Education Field Case Study : By studying and analyzing actual field cases of AI education, we explore AI application cases in various educational environments, and seek practical application plans for AI education.
 Computer Education, AI Education bae@dnue.ac.kr
4 Kim Woo-yeol
  • Introduction to AI Education : It learns the basic concepts and principles of artificial intelligence education, deals with the history of AI, basic technologies, and educational use cases, and explores the necessity, goals, and educational methodology of AI education.
  • Data Science : It deals with the core concepts and techniques of data analysis, learns processes such as data collection, refining, analysis, and visualization, and explores how to understand and utilize data through statistical techniques and data literacy.
  • Introduction to AI Education Consulting : Learn the basic concepts and methodologies of consulting, explore the consulting techniques and strategies necessary in the process of designing and evaluating AI education, and develop the ability to perform consulting in the actual educational field.
 Computer Education, AI Education, SW Education john@dnue.ac.kr
5 LEE YOUNG HO
  • Introduction to AI Education Research Methods : It learns scientific methodologies for AI education research, deals with basic research methodologies such as hypothesis setting, experimental design, and data analysis, and acquires logical thinking and analysis tools necessary for AI education research.
  • AI Convergence Education Research : We study teaching methods through the convergence of AI and various fields, design creative and innovative educational programs by combining AI technology with other academic fields, and explore their applicability in the actual educational field.
 Computer Education, AI Education yhlee@dnue.ac.kr
6 Shim jaekwoun
  • Development and Research of AI educational Materials : It learns how to develop and study materials and tools necessary for AI education, deals with the process of designing, developing, and evaluating educational content, and explores how to produce AI education materials that can be effectively used in the actual educational field.
  • AI Curriculum Research : By comparing and analyzing domestic and foreign artificial intelligence curriculums, learning effective AI curriculum design methods, and exploring curriculum development and evaluation, and linkage with educational policy.
 Computer Education, AI Education jkshim@dnue.ac.kr