KAMALL Conference 2024
Invited Speeches
Keynote Speech
"LLM 기반 맞춤형 언어학습으로의 전환"
"Transition to LLM-based Customized Language Learning"
신동광 교수
(광주교육대)
Abstract
The remarkable development of large language models (LLMs), led by ChatGPT, has brought the application of generative AI in language education, especially in the field of English language teaching, to a new level. As the flexibility to develop teaching and learning tools has increased, the ability to create customized educational solutions has become possible, leading to new demands for AI literacy and prompt literacy among teachers. However, even in the era of no-code platforms, pre-service teachers with insufficient prompt literacy struggle to develop educational tools using LLM-based platforms such as My GPTs. Moreover, developing tools to solve various educational problems requires complex pedagogical knowledge and metacognitive skills. Despite these technological evolutions, learners still prefer emotional interaction with teachers over technical performance. Responses such as "the feedback from the teacher resonates more with me" or "I would feel more comfortable asking the teacher" suggest that the human aspect of teachers remains crucial even in the age of AI. Therefore, maintaining a complementary relationship between technology and teachers is essential for educational innovation. Even as LLM technology becomes prevalent, the role of teachers who can understand the individual characteristics of students and communicate with a warm heart will be indispensable. As technology evolves to match human performance, the true essence of humanity will be rooted in the mindset of individual teachers.
Dr. Dongkwang Shin is a professor in the Department of English Language Education at Gwangju National University of Education. He had his Ph.D. in Applied Linguistics from Victoria University of Wellington and has served as a vice president of the Korea Association of Teachers of English, the Korea Association of Multimedia-Assisted Language Learning, and the Korea Association of Primary English Education. His research has been published in various international journals, including Educational Technology Research and Development, ELT Journal, Education and Information Technologies, Language Learning & Technology, RELC Journal, ReCALL, and System.
Plenary Speech
"AI를 활용한 한국어 작문교육"
"Utilizing AI for Korean L1 Writing Education"
장성민 교수
(인하대)
Abstract
This presentation asks, "Can generative AI replace human writing abilities?" and examines whether generative AI, including ChatGPT, can perform similar to humans in various writing formats. By applying the writing formats corresponding to the five developmental stages of writing theorized by Bereiter (1980)-associative, performative, communicative, unified, and epistemic writing, the analysis showed that generative AIs are capable of taking notes, simple essay writing based on one-sided reasoning, complex essay writing based on two-sided reasoning, single document-based writing, multiple document-based writing, review writing, and reflective journaling. Based on the results, we predict that in the post-ChatGPT era, there will be significant changes in the way we view human writing ability and that existing writing assessments will change to consider human writers and generative AI. The development of automatic writing scoring and feedback systems is expected to accelerate in the near future.
Prof. Sungmin Chang is a professor in the Department of Korean Language Education of Inha University. His main research topics are L1 oracy/literacy education and teacher education. He previously held a position at the Korean Institute for Curriculum and Evaluation and worked as a high school L1 teacher.
Plenary Speech
"The Future of ChatGPT in Language Education and Academic Research"
Thang Siew Ming
(HELP University, Malaysia)
Abstract
I will examine the potential of ChatGPT for language education. I will investigate how ChatGPT can enhance language learning through its capabilities to generate text in various languages, offer interactive conversation practice, assist with translation, and function as a tutor for any subject, including foreign languages. The paper will also evaluate its effectiveness, strengths, and limitations. Additionally, I will address the debates and drawbacks surrounding ChatGPT and discuss the digital competencies necessary for both teachers and learners to use this chatbot ethically and effectively in supporting language acquisition. On top of that, the paper will explore the role of chatbots in supporting academic and scientific publishing. While it is widely recognized that ChatGPT cannot be relied upon for accurate facts or reliable references, it may offer value in enhancing work efficiency through tasks such as proofreading and manuscript review. The paper will delve into the ethical considerations and moral implications of using AI in research to establish appropriate guidelines. Furthermore, I will share my personal experiences in teaching students how to use ChatGPT for proofreading and editing in a manner that adheres to ethical publishing standard.
Dr. Thang Siew Ming is a Professor at HELP University, Kuala Lumpur. Previously she was a Professor and a Head of the School of Language Studies and Linguistics at the Faculty of Social Sciences and Humanities, Universiti Kebangsaan Malaysia. Her areas of interest are CALL, Learner Autonomy, Motivation, Learning and Technologies, and Eye-tracking Research. She is the President of PacCALL and Co-chair of the GLoCALL series of conferences. She has given keynote and plenary presentations at various conferences. She has also published extensively and is on the editorial boards of numerous well-known CALL and Language Education journals. Her latest publications are featured in the following SSCI & Scopus journals: CALL Journal, Language and Education Journal, Asia-Pacific Educational Researchers, Australian Journal of Educational Technology, IRRODL, IJCALLT, GEMA, and CALL-EJ.