Seminar

This seminar has finished

Series 'Teaching and Learning with Gen AI' ③

Date and time
2025.8.05 (Tue) 16:00-17:30
(Room opens at 15:50)
Modality
Zoom Webinar
Lecturer

Mr. Soshi Onodera (1st-Year Student, Faculty of General Education, Hokkaido University)

Mr. Tatsuyuki Sato (1st-Year Doctoral Student, Graduate School of Science, Hokkaido University)

Mr. Ren Matsushita (6th-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. Soshi Onodera (1st-Year Student, Faculty of General Education, Hokkaido University)

 I see generative AI not merely as a tool for improving efficiency, but as a partner in deepening thought. By selecting and utilizing different tools based on their characteristics and purposes, I strive to make the most of what generative AI has to offer. I use ChatGPT for brainstorming through dialogue and organizing content structure, Gemini for research, summarization, and slide creation, and NotebookLM for summarizing study materials and generating practice questions. Moreover, by combining these tools, I actively seek ways to foster deeper learning and generate synergistic effects.


Mr. Tatsuyuki Sato (1st-Year Doctoral Student, Graduate School of Science, Hokkaido University)

 I use ChatGPT at both the input and output stages of my work.
 For input, since I often read philosophy and medical research papers, I frequently ask ChatGPT to help me grasp the overall content and explain parts I do not understand. In particular, I heavily rely on it to clarify complex English sentence structures. Recently, as the accuracy of its paper search capabilities has improved, I also use it to find related academic literature.
 For output, I often present my written drafts to ChatGPT and ask, for example, "Please evaluate the validity of this argument." Additionally, I use it as a tool for organizing my thoughts: I input messy, brainstorming-style notes and ask it to "organize these" or "suggest an appropriate structure if this were to be formatted as a paper."


Mr. Ren Matsushita (6th-Year Student, Faculty of Medicine, Hokkaido University)

 In medical studies, I primarily utilize generative AI in two contexts. The first is in preparation for national examinations. I have incorporated generative AI into a custom-built video material generator that transforms complex medical concepts into explanatory videos. Additionally, I use large language models (LLMs) to summarize exam questions, enabling me to efficiently identify and retain key information. The second context is clinical training, particularly when reading academic papers and preparing presentations. In this setting, I consult generative AI for summarization and structural advice, which helps me refine my slide content and enhance the clarity of my presentations. Beyond these, I also make use of generative AI in various other aspects of my daily learning.


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 September October.

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_Dat1cAwoR7-mm8wsFDxiMg

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.

On the day