I had been teaching and mentoring in various capacities for several years. As an engineer, I led several training programs both for new and senior engineers. Additionally, I taught undergraduate students mainly in project-based learning environments in the academic setting. I also mentored closely fellow graduate students who needed support in academic writing and data analysis. From all these experiences and my learnings in my research, I have developed my core teaching philosophy: emphasize strong fundamentals, encourage two-way feedback, and leverage technologies.

Teaching in an informal seminar

The first courses that I taught as the instructor of record were offered in Spring 2022. They were undergraduate information technology courses at Hosei University. I used educational technologies such as learning management systems to make the course contents accessible and facilitate feedback. I designed my courses to not revolve around high-stakes activities (e.g., grades relying solely on a single exam) so that the learners' grades will reflect their journey. My extensive experience with online courses as a course developer, a learning analytics researcher, and a student has informed my teaching.

I will be very much excited to teach courses on AI in education. This can include various topics such as: how to teach AI at different educational levels; how AI can provide insights into the learning process such as through knowledge discovery and data mining; using AI for instruction support such as through chatbots and learning analytics; or even AI as support for learning activities such as the use of recommendation systems to guide learning paths; among others. As for other courses in related fields, I am also interested in teaching courses related to introductory programming, educational technology, human-computer interaction, and software engineering and quality assurance. Additionally, I look forward to conducting transdisciplinary research seminars touching on learning sciences.

For mentoring, one obstacle I have noticed researchers battle with is the urge to share as much information as possible and lose sight of their audiences. This struggle results in long-winding expositions and crowded graphs that make the research work less accessible, sometimes even to fellow researchers. Should I be given the opportunity, I would like to create new courses that review how to write essays for different purposes, introduce the most common data visualization techniques and potential pitfalls, and take a deep dive into ethical research practices.

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