{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/62a9d6687c3e450012b8f41b/66e025d3d88b0a1697ec70b2?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"#28 Scott Daniel, Sasha Nikolic & Rezwanul Haque from AAEE Australia on Generative AI","description":"<p>Welcome back to the podcast!</p><p>&nbsp;</p><p>Since the start of 2023, Chat GPT, and the use of generative AI (Gen-AI) more generally, has been the topic of much discussion, advice and debate within engineering education worldwide. Despite a proliferation of guidance, awareness raising and information, there has been little empirical evidence pertaining to the impact of Gen-AI on integrity of assessment and risk of plagiarism, something which has led to confusion and duplication of work.</p><p><br></p><p>In this episode we speak to Sasha Nikolic (University of Wollongong), Scott Daniel (University of Technology, Sydney), and Rezwanul Haque (University of the Sunshine Coast) from the Australasian Artificial Intelligence in Engineering Education Centre (AAIEEC) Special Interest Group of the Australasian Association for Engineering Education (AAEE), who, along with other Australian engineering educators, came together to answer questions about how ChatGPT and other Gen-AI tools may affect engineering education assessment methods, and how it might be used to facilitate learning.</p><p><br></p><p>Join Dr. Natalie Wint (University College London) and Dr. Neil Cooke (University of Birmingham) to learn AI in the context of assessment in engineering education.</p><p><br></p><p><strong>Timestamps</strong></p><p><br></p><p>0.00 Welcome and introduction to episode</p><p>0.33 Podcast Intro</p><p>0.54 Experiences in AI from Natalie and Neil</p><p>3.02 Introduction to Scott, Sacha and Rez</p><p>4.34 Australasian Association for Engineering Education (AAEE)</p><p>6.54 The work and priorities of the Australasian Artificial Intelligence in Engineering Education Centre (AAIEEC) SIG</p><p>10.50 Key terms in AI</p><p>14.08 Introduction to the study into use of AI in engineering assessment</p><p>16.58 The research methodology and process involved</p><p>20.44 The main implications of the research studies</p><p>29.19 Developments in AI and the second study</p><p>40.39 Limitations of LLMs</p><p>49.16 Developing AI literacy</p><p>58.11 The role of evaluative judgement and changing assessment methods</p><p>1:01:32 Reactions to the work from academics</p><p>1:05:55 Final advice</p><p>1:08: 22 Key takeaways from Natalie and Neil</p><p>1:14:49 Bonus Easter Egg!</p><p>&nbsp;</p><p><strong>Further Reading </strong></p><p><br></p><p>For more information about the Australasian Artificial Intelligence in Engineering Education Centre (AAIEEC) Special Interest Group visit:</p><p><a href=\"https://aaee.net.au/sigs/\" rel=\"noopener noreferrer\" target=\"_blank\">https://aaee.net.au/sigs/</a></p><p><br></p><p><strong>Papers</strong></p><p><br></p><p><a href=\"https://doi.org/10.1080/03043797.2023.2213169\" rel=\"noopener noreferrer\" target=\"_blank\">https://doi.org/10.1080/03043797.2023.2213169</a></p><p><a href=\"https://www.tandfonline.com/doi/full/10.1080/03043797.2023.2213169\" rel=\"noopener noreferrer\" target=\"_blank\">https://www.tandfonline.com/doi/full/10.1080/03043797.2023.2213169</a></p><p><br></p><p><a href=\"https://doi.org/10.1080/22054952.2024.2372154\" rel=\"noopener noreferrer\" target=\"_blank\">https://doi.org/10.1080/22054952.2024.2372154</a></p><p><a href=\"https://www.tandfonline.com/doi/full/10.1080/22054952.2024.2372154\" rel=\"noopener noreferrer\" target=\"_blank\">https://www.tandfonline.com/doi/full/10.1080/22054952.2024.2372154</a></p><p><br></p><p>Join us! Become a member of the European Society for Engineering</p><p>Education, SEFI, Europe's largest network of engineering</p><p>educators: www.sefi.be</p><p><br></p><p>music (c) Lizzie Cooke all rights reserved.</p><p>&nbsp;</p><p>Written and produced by Neil Cooke and Natalie Wint.</p>","author_name":"SEFI European society for engineering education"}