
Large Language Models in the Classroom
IE TOWER
T-19.02+T-19.04
IE Tower, Paseo de la Castellana 259E
Registration
Details
Large language models (LLMs) have the potential to revolutionize the educational sector in many ways. For example, they can be used to correct, generate, and improve code. They can also be used for documentation and pseudocode, or to create interactive learning experiences, such as games and simulations. This can help students to learn in a more engaging and immersive way.
But it is important to be aware of the potential risks of misusing LLMs. In this session, we will discuss strategies for detecting and preventing cheating and misuse of LLMs. By educating students about the risks, developing clear policies and procedures, and using plagiarism detection software, we can help to prevent cheating and ensure that LLMs are used for their intended purpose: to improve learning.
Speakers

Robert Polding
Academic Director at IE University
Dr Polding holds a PhD and MSc in Information Systems from The University of Sheffield and a BSc (Hons) in Media Science from Sheffield Hallam University. Research interests include e-commerce, web applications, apps, RFID augmented and mixed reality, and database technologies. Lecturer in database design, management information systems, project management, programming, and big data. Previous jobs include working as a company director, project manager, programmer, and journalist.