1. 어린이영어지도 [Teaching Young Learners]

Regularly described as both rewarding and challenging, teaching languages to young learners requires a set of skills most people simply do not have. Young learners are still developing socially, emotionally, and cognitively, and may not have chosen to be in the language classroom but they very often bring tremendous energy, goodwill, and curiosity to their studies. This course aims to support teachers as they harness that positivity and channel youthful energies into the acquisition of English as an additional language. This practical course will provide both new and experienced teachers with opportunities to manifest teaching theory in classroom practice, and refresh established routines with new techniques.

2. 크리에이티브 드라마 [Creative Drama]

This course is constructed to guide EFL teachers to gain practical as well as theoretical knowledge in drama in education. Among diverse drama methods, it mainly introduces creative dramatics, which has been continuously examined as a medium of language learning. Throughout the course, participants will be given the opportunity to develop drama skills in order to conduct the actual classroom. While mastering practical techniques such as mime, movement, guided imagination, and improvisation, the impact of drama in EFL children’s classrooms will be explored and discussed. In particular, it will significantly pay attention to the benefit and the possibility of creative drama for young EFL learners. 

3. 프로세스 드라마 [Process Drama]

Process Drama is a process-driven educational drama that works without scripts, and is an effective way to develop students’ creativity, empathy, and critical thinking skills. This unit will show how to play process drama and how to instruct it. Based on this learning experience, students will design their own process drama, and will be instructed by peer teaching with rich feedback from professors and colleagues.

4. AI 기초 프로그래밍 [Basic AI Programming]

Given the prevalence of text data on the Internet and in legacy media databases, significant attention has been dedicated to text-mining techniques employing computational text analysis methods. This course is designed to offer students an opportunity to grasp text-mining techniques relevant to language education studies and to utilize large language models through Python. The curriculum will encompass fundamental Python programming concepts alongside the principles of corpus linguistics, basic natural language processing techniques, semantic network analysis, topic modeling, text visualization, and the utilization of large language models. Students will also acquire practical experience in managing extensive text data using Python packages.

5. AI 기반 기초 통계 [Basic Statistics for AI in Language Education]

This course offers a comprehensive exploration of essential statistical principles and their practical implementation in the realm of artificial intelligence, with a particular focus on language education applications. Through this course, students will acquire a profound understanding of fundamental data analysis techniques, hypothesis testing, and statistical modeling, equipping them to make data-driven decisions and enhance AI-driven language education strategies. This course encompasses topics such as regression analysis, classification algorithms, dimensionality reduction methods, and hands-on experience in working with large language models. Students will gain the analytical skills and expertise necessary to address complex challenges at the intersection of AI and language education.

1. AI기반 언어교육 개관[Introduction of AI-Based Language Education]

This course is designed for teachers interested in language education, including English and Korean, introducing them to language-related artificial intelligence technologies and aiming to enable the practical application of these technologies in the field of language education. To achieve this, the first part of the course will explore foundational technologies such as natural language text processing and speech processing technologies, seeking ways to apply them in language education. In the latter half of the course, we will introduce and guide practical exercises on various and specific methods applicable to language education within the realms of AI-based utilization technologies such as chatbots, machine translation, and the metaverse.

2. 언어교재개론 [Introduction to Language Teaching Materials]

This course deals with current principles of syllabus design and instructional materials focusing on the analysis, and evaluation of instructional materials for English language teaching. This course aims to survey and analyze existing ELT materials on the market and helps students have keen eyes on evaluating ELT materials for choose as well as developing appropriate one.

3. ELT 교육과정 디자인 [ELT Curriculum Design ]

This course is an orientation to the process of second language (SL) curriculum design—planning, development, assessment, and evaluation. You will learn how to apply theory to practice and create effective ELT programs. By the end of the course, you should be able to construct a customized SL learning program that effectively targets one (or several) of the major skills areas (e.g., speaking, reading).AI 활용 언어평가

4. AI 융합 교육디자인 AI & Education Design

The purpose of this course is to explore the direction of future society and school education according to the development of artificial intelligence technology, and to train educators to research and develop AI convergence education based on the understanding of artificial intelligence and digital technology.

5. AI를 활용한 언어평가 [Language Assessment Using AI]

The goal of this course is to help students build expertise in language assessment. Students will learn the basic theory of language assessment needed to design and analyze language tests. The statistical techniques necessary to analyze language test data will also be covered in the course, and students will learn how to develop and evaluate multiple-choice items, as well as performance assessment items (such as speaking and writing). This course will discuss ways to produce computer-adaptive language tests using artificial intelligence technologies.

6. AI 기초 프로그래밍 [Basic AI Programming]

Given the prevalence of text data on the Internet and in legacy media databases, significant attention has been dedicated to text-mining techniques employing computational text analysis methods. This course is designed to offer students an opportunity to grasp text-mining techniques relevant to language education studies and to utilize large language models through Python. The curriculum will encompass fundamental Python programming concepts alongside the principles of corpus linguistics, basic natural language processing techniques, semantic network analysis, topic modeling, text visualization, and the utilization of large language models. Students will also acquire practical experience in managing extensive text data using Python packages.

7. AI 기반 기초 통계 [Basic Statistics for AI in Language Education]

This course offers a comprehensive exploration of essential statistical principles and their practical implementation in the realm of artificial intelligence, with a particular focus on language education applications. Through this course, students will acquire a profound understanding of fundamental data analysis techniques, hypothesis testing, and statistical modeling, equipping them to make data-driven decisions and enhance AI-driven language education strategies. This course encompasses topics such as regression analysis, classification algorithms, dimensionality reduction methods, and hands-on experience in working with large language models. Students will gain the analytical skills and expertise necessary to address complex challenges at the intersection of AI and language education.

1. 언어학습과 교수의 원리 [Principles of Language Learning & Teaching]

This course will familiarize students with theories, methodologies, issues and practices of language learning and teaching. We will examine theories, principles and models in instructed second language acquisition and will evaluate the applicability of recent pedagogical developments in the language skills and systems for L2 learners in the Korean ELT context.

2. 읽기 및 쓰기 지도 [Teaching Reading and Writing]

This course is an introduction to teaching the skills of reading and writing to second language (SL) learners (from “elementary” [A2] to “upper-intermediate” [B2] level). You will learn how to apply theory to practice and create effective lessons and teaching materials. By the end of the course, you should be able to design pedagogically sound reading/writing lessons, worksheets, and units of study for use in private institutes and public schools.

3. 듣기 및 말하기 지도와 교재 [Teaching Listening and Speaking]

This course aims to develop learners’ understanding of different approaches to teaching speaking and listening, while at the same time building their confidence to conduct their own lessons. Learners will first partake in a guided reflection of the key aspects of language learners' speaking and listening development today. They will then be guided through a variety of approaches and activities to teaching listening and speaking and begin to design their own mini speaking & listening lesson. Through hands on practice, reflection, and feedback from their peers and professor, learners will gain a deeper understanding of the strengths and weaknesses of various speaking & listening approaches, methods, and activities, and increase their ability to plan and carry out effective lessons.

4. AI 디지털 콘텐츠 교수법 [AI Digital Content Teaching Methods]

This practical course is designed to help students further develop their understanding of utilizing AI and ELT digital contents in English class. Students will learn how to use various forms of English contents effectively and interactively to help students learn English.

5. 게임기반 영어교육 [Game-Based English Learning]

This course offers an engaging exploration into the use of interactive gaming platforms to enhance English language acquisition. It combines theoretical knowledge with practical application, enabling educators to incorporate game mechanics into curriculum design for a more immersive and effective learning experience. Through the analysis of game-based learning strategies, educators will develop the skills to facilitate language development, increase student motivation, and foster collaborative learning environments. The course includes a critical evaluation of various educational games, the study of gamification principles, and the design of game-like activities tailored to different proficiency levels.

6. Language Awareness

Language awareness refers to the development in learners of an enhanced consciousness of and sensitivity to the forms and functions of language. The approach has been developed in contexts of both second and foreign language learning, and in mother-tongue language education, where the term ‘knowledge about language’ has sometimes been preferred. In this course, students learn various aspects of English including phonetics, grammar, discourse, etc., which can help them teach English more effectively.

논문 연구 1, 2 / 작품 연구 1, 2 [Thesis 1, 2 / Project 1, 2]

Through this course, students learn the procedures and methods of writing academic papers or creating professional projects. Students develop their academic or professional interests into master's thesis or master's projects according to the procedures and methods learned in this course.

1. Genre Writing

This course is an introduction to the principles of “good writing” and how professional writers achieve it. Genre Writing (GW) takes a genre-based approach to writing, so you will learn how to compose short but complex texts for different audiences and purposes and within different genres.