Speaker: Steve Watson
Date: Wednesday 8th March
Time: 12 pm to 1 pm
Location: GS5, DMB, Faculty of education
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About this Event
ChatGPT is a large language model developed by OpenAI that uses natural language processing and deep learning techniques to generate human-like responses to text-based inputs. It is capable of understanding and generating complex natural language, making it a powerful tool for a wide range of applications, including language translation, conversation, summarization, and text generation. Its ability to learn from large amounts of data and generate high-quality responses has made it an increasingly popular technology in various fields, including education and research. However, it is important to understand the ethical considerations and limitations of using AI in these contexts.
This session aims to facilitate discussion and collaboration on the various ways that ChatGPT can be used in teaching and research as a writing assistant. Building on a previous session with the Knowledge Power Politics (KPP) research group in January, this session will be both practical and theoretical. On one hand, we will explore practical methods for using ChatGPT to summarize texts, structure and present ideas, and analyze textual data. On the other hand, it is crucial to understand the nature of the technology to develop its practical use. Although ChatGPT is often misconceived as a synthetic intelligent ‘being’ or a sophisticated search engine, it is better understood as automated communication or as an assistive generative technology. Therefore, I will provide an accessible explanation of natural language processing AI and deep learning, as well as a consideration of the ethical dimensions of AI in education.
Institutions face challenges in developing policies and practices related to ChatGPT due to the lack of practical applications and an incomplete understanding of the technology. To address these issues, it is necessary to engage with ChatGPT in context and develop tools for teaching and research in situ, to better assess the impact and approach to using this kind of AI at an institutional level. I believe that collaborative action and design-based research approaches are critical to achieving scaled-up methods for implementation in a variety of educational settings. Therefore, I propose holding subsequent workshops and developing online networks to facilitate discussion, foster collaboration, and enable the development of practical applications for ChatGPT in education and research.