1E | Theme: Artificial Intelligence

Tracks
E
Monday, December 9, 2024
11:00 AM - 12:30 PM
Room: E9

Session

11:00 - 11:15am 058: Case Studies and Practical Examples of Generative AI Integration in University Teaching and Learning Author(s): Marina Belkina, Peter Neal, Sarah Grundy, Ghulam Hassan, Rezwanul Haque, Scott Daniel, Sasha Nikolic and Sarah Lyden Presenter: Marina Belkina 11:20 - 11:40pm 047: Improving Early Dropout Detection in Undergraduate Students: Exploring Key Predictors through SHAP Values Author(s): Winn Wing-Yiu Chow Presenter: Winn Wing-Yiu Chow 11:40 - 11:55am 109: Peace Engineering: Demystifying Machine Learning and Quantum Computing Author(s): Manel Martínez-Ramón, Ramiro Jordán, Donna Koechner, Xochiquetzal García-Necochea, Jeremiah Dacpano and Ryan García Presenter: Ramiro Jordán 12:00 - 12:15pm 180: Three Frameworks to support Engineering Education to develop with Generative AI Author(s): Euan Lindsay, Sofie Otto and Stine Ejsing-Duun Presenter: Euan Lindsay 12:15 - 12:30pm Panel session


Document

Agenda Item Image
Dr Marina Belkina
First Year Experience Coordinator
Western Sydney University The College

58 - Case Studies and Practical Examples of Generative AI Integration in University Teaching and Learning

11:00 AM - 11:15 AM

Full paper

Agenda Item Image
Dr Winn Chow
Senior Lecturer
University of Melbourne

47 - Improving Early Dropout Detection in Undergraduate Students: Exploring Key Predictors through SHAP Values

11:20 AM - 11:35 AM

Full paper

Dr Ramiro Jordan
Faculty
UNM-ISTEC

109 - Peace Engineering: Demystifying Machine Learning

11:40 AM - 11:55 AM

Full paper

Prof Euan Lindsay
Professor
Aalborg University

180 - Three Frameworks to support Engineering Education to develop with Generative AI

12:00 PM - 12:15 PM

Full paper

loading