Seminar
This seminar has finished
Series “Teaching and Learning with Gen AI” ⑤
- Date and time
- 2025.11.13 (Thu) 16:30-18:00
(Reception starts at 16:20)
- Modality
- Zoom Webinar
- Lecturer
Mr. Taise Sato（3rd-Year Student, School of Law, Hokkaido University）
Mr. Shintaro Tada（4th-Year Student, School of Education, Hokkaido University）
Mr. Genki Niinuma（3rd-Year Student, Faculty of Medicine, Hokkaido University）
- Target
- Applicants belonging to higher education institutions (including graduate students)
- Entry fee
- Free
- Language
- Japanese
- Category
- C: HE trends
- Remarks
- On-demand streaming available (accessible to faculty and staff of Hokkaido University and member institutions of the Hokkaido FD/SD Council)
- Poster
- View poster
Organized by Center for Teaching and Learning, IAGE, Hokkaido University and Hokkaido FD/SD Council
Co-organized by Center for Open Education, IAGE, Hokkaido University
It has been less than 3 years since ChatGPT emerged and made a significant impact on society. Today, there are numerous generative AI services using large language models. According to a survey by the National Federation of University Co-operative Associations, 68.2% of university students have experience using generative AI, primarily for classes, research, and writing papers/reports. Additionally, an NTT DOCOMO survey shows that the adoption rate of generative AI among middle school students is 13.3%, surpassing that of their parents at 9.0%.
What is the extent of its use in university classes? There are likely students and faculty who don't use it. For non-users, they may feel "there's no problem not using it for now." However, if there emerges a gap in learning outcomes between AI users and non-users, this cannot be ignored.
Not all students use generative AI simply to complete assignments with less effort. Some utilize it to deepen their learning and as a learning support tool. How can generative AI be utilized in the classroom setting? Whether you choose to use it or not, you cannot make an informed decision without understanding its potential.
The time has passed when we could teach classes without considering the use of generative AI. Therefore, we are organizing this webinar series to provide an opportunity for faculty and students who are actively using generative AI in their classes to share their experiences, allowing participants to reflect on their own teaching practices.
Three students will offer presentations during this session, each lasting 20 minutes. Afterward, there will be a 30-minute discussion, including a Q&A session.
Mr. Taise Sato（3rd-Year Student, School of Law, Hokkaido University）
I utilized ChatGPT in a data analysis course with Python (Google Colab) to identify the causes of errors and learn how to resolve them. In particular, when working on predicting approval ratings for the Kishida Cabinet using the 2021 University of Tokyo–Asahi Election Survey data, ChatGPT was helpful in handling missing values and building models. I also made use of NotebookLM to analyze both course materials and my own handouts, which allowed me to identify differences and areas for improvement in my self-prepared materials. In addition, I created a podcast-style review tool based on audio resources and developed mind maps to support learning.
Mr. Shintaro Tada（4th-Year Student, School of Education, Hokkaido University）
I utilized generative AI by uploading handouts and slides to create practice questions with answers, which I then applied to my studies. Conversely, I also created my own questions and asked the AI to provide answers, enabling me to check for inconsistencies with the content of the handouts and slides, as well as to acquire additional knowledge related to the topics. In preparing my undergraduate thesis, I prompted the AI to “ask me questions,” which allowed me to refine and narrow down my research theme through dialogue. The AI also provided insights on how my work could be further developed into a master’s thesis and offered useful points to keep in mind for research.
Mr. Genki Niinuma（3rd-Year Student, Faculty of Medicine, Hokkaido University）
In medical school, the amount of information we need to memorize is enormous, so generative AI has been especially useful, particularly before examinations. One typical use is summarizing lecture slides. For each exam, the scope often covers around 1,000 slides. If I try to read through them directly, I may not finish or may find it difficult to learn systematically. To address this, I often use AI to summarize the slides first, grasp the overall picture, and then study the details with the original slides. In addition, right before exams, I ask AI to generate review questions, and by working through them, I can make a final check of whether I have fully retained the knowledge.
Recommended for those who:
・Want to learn from practical examples of how generative AI is being used in teaching and other learning contexts
・Want to understand the benefits and challenges of using generative AI in teaching and other learning contexts
・Want to explore the potential of generative AI in teaching and other learning contexts
※This seminar is also scheduled to be held in December.
How to join this seminar
Please fill out the Zoom registration form on the below site to register.
https://us06web.zoom.us/webinar/register/WN_6oHjMs_dQsOZ-oLeUpaM2Q
How to participate on the day
After registering, you will receive an email from no-reply@zoom.us with the seminar name in the subject line confirming your registration.
To join the meeting, please click on the link indicated by “click join the webinar” in that email.
Please fill in the required information as necessary.
