{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/77f3f627ec0f4fcc9e9f1ecf3f4d3dc1\" frameborder=\"0\" width=\"1728\" height=\"1296\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1296,"width":1728,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1296,"thumbnail_width":1728,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/77f3f627ec0f4fcc9e9f1ecf3f4d3dc1-977266c5dc7b761a.gif","duration":1444.048,"title":"Impact of AI Feedback on Student Assessment Practices","description":"(Apologies the sound cuts out at the beginning) In this video, I discuss the impact of AI feedback on student assessment practices and outcomes based on a presentation I developed for the New Zealand Association for Research and Education Conference. I share insights on how AI is being used by students for assessment, the importance of AI literacy, and the need for transparent assessment practices. The video highlights the results of a pilot study where students were given the option to use AI for assessment feedback, leading to improved AI literacy and critical reflection among students. The ethical considerations and the potential of AI to enhance feedback literacy are also explored."}