YUYA GOTO
YUYA GOTO
Fourth-year Undergraduate Student
Faculty of Engineering, Kitami Institute of Technology, Japan
Department of Earth, Energy and Environmental Engineering
Advanced Materials Course Program
Polymer Materials Laboratory
Research interests: Educational NLP / LLM, Second-language Writing, Keystroke Logging, Polyimide Materials
Research Contact: ystudy [at] asterlore.com
Website: https://www.asterlore.com
Yuya Goto is a fourth-year undergraduate student in the Faculty of Engineering at Kitami Institute of Technology and a member of the Polymer Materials Laboratory. His current work focuses on polyimide materials, especially particle formation methods and their potential applications.
Alongside his background in materials engineering, he is interested in how large language models can support self-directed English learning for learners who study English as a second or foreign language. His interest in this area has grown from his experience studying abroad and working as an English tutor, where he noticed a gap between test-oriented English learning and real-world communication. In real communication, learners need to create their own sentences, organize their thoughts, and respond in real time without relying on translation tools or disrupting the flow of conversation.
In future graduate research, he hopes to work on educational LLMs for second-language writing. His research interests include keystroke logging, revision-process analysis, learner-state estimation, and process-aware feedback. Through this work, he aims to explore how AI systems can support learners not only by giving answers or corrections, but also by helping them reflect on their thinking, notice deeper questions, and communicate their ideas more clearly and coherently.
Kitami Institute of Technology, Japan
Faculty of Engineering
Department of Earth, Energy and Environmental Engineering
Advanced Materials Course Program
Polymer Materials Laboratory
Fourth-year undergraduate student
Yuya Goto’s current undergraduate work focuses on polyimide materials in the Polymer Materials Laboratory. In particular, he is reviewing methods for producing polyimide particles and examining their potential applications.
Polyimides are known as high-performance polymer materials with excellent heat resistance and chemical stability. By focusing on particle formation methods, he aims to understand how material structure, synthesis methods, and processing conditions may relate to possible applications. He is also interested in how far these materials have been practically implemented and what kinds of social or industrial needs they may address.
This work has helped him develop a research perspective based on literature review, material properties, experimental design, and the relationship between fundamental research and social implementation.
Yuya Goto is interested in how large language models can support learners who study English as a second or foreign language. His focus is not only on using AI to provide correct answers or surface-level corrections, but also on designing support that helps learners understand their own thinking, build sentences by themselves, and communicate their ideas more clearly.
Keywords: educational NLP, second-language writing, English self-learning, AI-assisted writing support, self-directed learning
Yuya Goto is especially interested in the process of writing and revision. Rather than focusing only on final scores or final corrected texts, he hopes to investigate how learners write, hesitate, revise, and make choices while composing in English.
Keywords: keystroke logging, revision-process analysis, learner-state estimation, writing behavior, process-aware feedback
Yuya Goto's current undergraduate work is based in materials engineering, especially polyimide materials. He is currently reviewing methods for producing polyimide particles and investigating their possible applications, social implementation, and current level of practical use.
Keywords: polyimide materials, particle formation, polymer materials, heat-resistant materials, practical applications, semiconductor materials
In future graduate research, Yuya Goto hopes to work on educational LLMs for second-language writing.
His motivation comes from his experience studying abroad and working as an English tutor. Through these experiences, he became aware of a gap between test-oriented English learning and real-world communication. In school settings, learners are often evaluated by test scores and memorized knowledge. However, in real communication, they need to create their own sentences, organize their thoughts, and respond in real time without relying too heavily on translation tools.
At the same time, many learners now use generative AI tools to get instant answers, explanations, and corrections. While these tools are powerful, he is concerned that learners may sometimes focus only on obtaining the correct answer without understanding why their own hypothesis was wrong or how they can build better expressions by themselves.
For this reason, he is interested in educational LLMs that support the learning process itself. He hopes to explore how AI systems can help learners reflect on their writing behavior, notice deeper questions, understand the reasoning behind expressions, and develop the ability to communicate in their own words.
Exploring how large language models can support English learners not only by correcting errors, but also by helping them think, revise, and express their ideas more clearly.
Investigating how writing process data, such as keystroke logs and revision histories, can reveal learners’ writing behavior and support process-aware feedback.
Reviewing methods for producing polyimide particles and examining their potential applications, current level of practical use, and possibilities for social implementation.
Creating and organizing educational content related to learning, assessment, English education, research planning, and AI-supported learning.
Literature review
Academic writing
Research planning
Data-oriented thinking
Interdisciplinary research design
Python
Natural language processing
Learning analytics
Keystroke logging
Web-based data collection
Educational AI
English tutoring
Educational content writing
Presentation design
Research explanation for non-specialist audiences
Academic, Research, and Educational Activities
Yuya Goto writes about topics related to learning, language, education, AI, research notes. His writing interests include how people learn, how technology changes learning behavior, and how complex ideas can be explained in a clearer and more accessible way.
Main topics:
Learning and education
Educational AI and LLMs
Second-language writing
Research notes
Thinking and communication
Research Contact: ystudy [at] asterlore.com
For inquiries regarding research or educational activities, please contact him at the email address above.