Department of Learning Sciences
Master, Doctoral, and Combined Master-Doctoral Programs
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PHONE +82-32-835-8822
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FAX +82-32-858-7141
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ADDRESS A-102 Michuhol Campus, Incheon National University, 12 Gaetbeol-ro, Yeonsu-gu, 21999, Incheon, Republic of Korea
Introduction
Established in the 2027 academic year to address the digital transformation paradigm and the ubiquitous integration of AI-based educational environments, this department aims to foster advanced researchers and professionals in the learning sciences through the interdisciplinary convergence of artificial intelligence, neuroscience, cognitive science, and engineering. To achieve this objective, the curriculum is systematically structured around foundational theories of the learning sciences, data-driven research methodologies, and the practical application of AI and educational technology (EdTech) convergence.
Education Goals
The Department of Learning Sciences integrates pedagogy, cognitive science, neuroscience, and artificial intelligence to scientifically investigate learning phenomena. Grounded in this interdisciplinary approach, the department cultivates researchers and practitioners who innovatively address learning challenges within educational settings and broader society.
Faculty
| Name | Position | Academic Area | |
|---|---|---|---|
| Jeon Gwanggil | Professor | Image Processing, Pattern Analysis and Recognition, Artificial Intelligence | gjeon@inu.ac.kr |
| Kim Pyoung Won | Professor | Korean Language Education (Speaking & Writing) | pwkim@inu.ac.kr |
| Yang Sunggu | Professor | Neurophysiology, Electrophysiology, Neuronal Imaging and Optics | sungguyang@inu.ac.kr |
| Kim Sung-Yeun | Professor | Statistics, Educational Measurement and Evaluation | syk@inu.ac.kr |
| An Donggun | Associate Professor | Educational Psychology, Creativity | dan@inu.ac.kr |
| Yun Suninn | Associate Professor | Philosophy of Education (Phenomenology), Museum Education | syun@inu.ac.kr |
| Shin Won Sug | Associate Professor | Instructional Technology (Teacher Education, Technology Integration) | wsshin@inu.ac.kr |
| Han Eunjung | Associate Professor | Educational Administration, School Consulting, Pre-service Teacher Education | ejhan@inu.ac.kr |
Principles
- Areas of Specialization
Areas of specialization shall, in principle, be established per doctoral academic advisor; however, two or more faculty members may collaboratively administer a single area of specialization. - Academic Advisor
Students must designate an academic advisor upon admission and may change their advisor prior to the completion of their coursework. - Eligibility Requirements for Doctoral Dissertation Examination Application
Students intending to apply for the doctoral dissertation examination must have published, or received formal acceptance for the publication of, at least one research paper satisfying all of the following criteria as of the application date:- The paper must be published in a journal indexed by the National Research Foundation of Korea (KCI) or in an international academic journal indexed in SSCI, SCI(E), or Scopus.
- The student must be the sole author or, in the case of a co-authored publication, the first author.
- The research must be relevant to the subject of the doctoral dissertation.
- Credit Requirements and Prerequisite Courses
Matters concerning the fulfillment of credit requirements and prerequisite courses shall be governed by the "Incheon National University Graduate School Regulations" and associated bylaws. - Miscellaneous
Matters not explicitly stipulated in these internal regulations shall be determined by resolution of the departmental faculty council.
Curriculum
| Course Title | Credit |
|---|---|
| Writing Process Protocol Analysis | 3 |
| Digital Storytelling Analysis | 3 |
| Analysis of Nonverbal Classroom Behavior | 3 |
| Eye-Tracking Analysis of Reading | 3 |
| VR and AR in Education | 3 |
| Real-Time Video Analysis | 3 |
| Seminar in Artificial Intelligence | 3 |
| Fundamentals of Neurophysiology | 3 |
| Seminar in Brain and Cognitive Engineering | 3 |
| AI-Based Learning Assessment | 3 |
| AI-Integrated Learning Sciences Data Analysis | 3 |
| AI-Integrated Research Methods in Learning Sciences | 3 |
| Semantic Network Analysis for Learning Sciences | 3 |
| Foundations of the Learning Sciences | 3 |
| Learning Environment Design | 3 |
| Learning Engineering | 3 |
| Sociocultural Approaches to Teaching and Learning | 3 |
| Data-Driven Educational Administration and Decision-Making | 3 |
| AI-Integrated Teacher Education and School Consulting | 3 |
| Educational Policy and Systems Analysis from a Learning Sciences Perspective | 3 |
| Seminar on Future Educational Ecosystems and Organizational Transformation | 3 |
| Motivation and Cognitive Psychology in Learning | 3 |
| AI-Based Learning Strategy Design | 3 |
| Creativity in Learning Sciences | 3 |
| Individual Differences and Diversity in Digital Learning | 3 |
| Philosophy of Education in the Age of AI | 3 |
| Philosophy of Mind and Embodiment | 3 |
| Epistemology of the Learning Sciences | 3 |
| Ethics and Subjectivity in the Digital Age | 3 |

