Special Interest Group in CS and AI for Education Workshop

Special Interest Group in CS and AI for Education Workshop

Special Interest Group in CS and AI for Education Workshop ‘ChatGPT – What Can It Really Do and Is the Panic Justified?’

By Manchester Met University - Science & Engineering

Date and time

Wed, 8 Feb 2023 05:00 - 06:30 PST

Location

Online

Agenda

1:00 PM - 1:10 PM

Welcome and Introductions (Annabel)

1:10 PM - 1:40 PM

ChatGPT – Is it Really a Game Changer? (Matt)

1:40 PM - 2:15 PM

Q&A and Discussion – What impact will ChatGPT have now and in the near future?

2:15 PM - 2:30 PM

The Plan for the SIG Going Forward / Session End

About this event

This event will take place on Microsoft Teams. You will be emailed the meeting link prior to the event.

This workshop will feature a talk by Dr Matthew Shardlow, a Senior Lecturer in Computer Science, followed by an open discussion. Dr Matthew Shardlow’s research over the past 10 years has focused on Natural Language Processing (NLP), and he has followed the developments that led to the latest release of ChatGPT with interest. Within the NLP field, Matt’s three key interests are in text simplification, the use of Emoji as part of everyday language, and the application of Text Mining to varied disciplines including Chemistry, Neuroscience, Journalism and Finance.

The Special Interest Group (SIG) in Computer Science and Artificial Intelligence for Education (https://www.mmu.ac.uk/research/research-centres/cfacs/machine-intelligence) sits under the Centre for Advanced Computer Science (CfACS) and is led by Dr Annabel Latham and Dr Andrew Schofield. The SIG hopes to promote closer relationships between researchers interested in Computer Science education and Artificial Intelligence in Education. Our team conducts research into conversational intelligent tutoring systems and new systems for assessing the programming language SQL at undergraduate level. We place a strong emphasis on the ethical implications of the use of AI in the general field of education. The SIG hopes to foster cross-disciplinary collaborations in terms of sophisticated data analysis, grant collaborations and ultimately, ambitious research projects.

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