Tag: Deep Learning

• What happens when Generative AI disappears into the woodwork?

  

  As part of my PhD studies, I read and write a lot of stuff that doesn’t really fit into my research, but which I find interesting anyway. I’m categorising these “spare parts” on my blog, and if you’re interested in following them you’ll find them all here. At the moment we’re still in the thick…

  Leon Furze

  October 11, 2023

  AI, Critical Perspectives, PhD

  AI acceptance, AI advancements, AI applications, AI awareness, AI branding, AI challenges, AI controversies, AI conversations, AI critiques, AI datasets, AI developments, AI dialogues, AI discourse, AI discussions, AI ethics, AI future, AI hype, AI implications, AI in Apple, AI in business, AI in education, AI in media, AI in products, AI in society, AI innovations, AI integration, AI investment, AI invisibility, AI landscape., AI language models, AI literature, AI mainstreaming, AI marketing, AI milestones, AI predictions, AI Research, AI significance, AI terminology, AI transformation, AI Transparency, AI ubiquity, Anthropic, artificial intelligence, ChatGPT, Deep Learning, digital transformation, Generative AI, Google and AI, GPT-4, machine learning, Microsoft and AI, OpenAI, PaLM, technology adoption, technology evolution, technology history

• Secondary School Assessment and Artificial Intelligence

  

  When ChatGPT landed on our doorsteps in November 2022, it largely slipped beneath the education radar. By the time term 1 2023 rolled around, however, it’s fair to say that the situation had changed. Most states in Australia banned the technology in Department schools, and those bans remained in place for several months. Despite the…

  Leon Furze

  June 13, 2023

  AI, Assessment, assessment, Digital

  Academic Integrity, AI ethics, AI Guidelines, AI in Schools, AI Research, AI Tools, artificial intelligence, Assessment Design, Assessment Practices, ChatGPT, CRADLE, Cybersecurity, Deep Learning, Digital Learning, digital literacy, e-learning, education, educational technology, Generative AI, machine learning, Natural language processing, NSW Department, Personalized Education, privacy, QCAA, Queensland Curriculum, SACE Board, School Policies, Student Learning