Category: AI
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Generative AI, plagiarism, and “cheating”
Back in January, I wrote a post called Beyond Cheating, reflecting on the ChatGPT bans that were rolling out across various Australian states and the “cheating” narrative that had accompanied the chatbot since its release. In that earlier post, I argued that banning and blocking generative AI would only contribute to the digital divide –…
Leon Furze
academic dishonesty, academic evaluation, Academic Integrity, AI advantages, AI and academic culture, AI and cheating, AI and plagiarism, AI and student workload, AI Assessment Scale, AI detection bias, AI detection software, AI disadvantages, AI ethics, AI Guidelines, AI in analytical essays, AI in classrooms, AI in educational policy, AI in essay writing, AI in Humanities, AI in secondary education, AI in skill demonstration, AI in tertiary education, Assessment Design, authentication methods, ChatGPT, Contract cheating, digital divide, digital literacy, digital technology, distance learning, education, educator perspectives, experiential tasks, formative assessment, GAI, Generative AI, GPTZero, lockdown browsers, non-native English writers, online courses, online learning, oral assessments, out-of-class assessments, proctoring software, summative assessment, supervised assessments, Turnitin, unsupervised assessments, viva, written tasks -
Hands on with Adobe Firefly: Finally an image generator that can be used in school
Generative AI is a multimodal technology, with applications in text, image, video, audio, and code. Unfortunately, up until now, the actual usefulness of GAI in schools has been limited by technical and practical barriers. ChatGPT, for example, is easy to access but problematic in the classroom due to its obscure terms and conditions and dubious…
Leon Furze
Adobe Creative Cloud, Adobe Firefly, Adobe Photoshop, Adobe Stock Images, AI and Artistic Styles, AI and Copyright, AI and Digital Art, AI and Future of Education, AI and Student Data, AI Content Tagging, AI ethics, AI for Custom Images, AI for Presentations, AI for Students, AI Guardrails, AI in Advertising, AI in Design, AI in education, AI in English, AI in Humanities, AI in Media Studies, AI in Photography, AI in Photoshop, AI in Professional Development, AI in Visual Arts, AI Licensing, AI Training Datasets, AI Transparency, ChatGPT, Classroom Technology, Copilot in Classroom, DALL-E, Data Privacy, Deepfakes in Education, Discord in Schools, Firefly Image Quality, Generative AI, Generative Expand, Generative Fill, Generative Recolor, Hugging Face, image generation, Intellectual Property, Microsoft Bing Chat, Midjourney, Open Source AI, OpenAI, Stable Diffusion, Text Effects in AI, User Experience -
UNESCO Guidelines for Generative AI: Practical Applications for Schools
Following Digital Learning Week in Paris, the United Nations Educational, Scientific and Cultural Organization published a comprehensive document containing guidelines for Generative AI (GAI) in education and research, and exploring the implications for policy. The guidelines are linked to the UN Sustainable Development Goals through Goal 4: ensure inclusive and equitable quality education and promote…
Leon Furze
Academic Integrity, AI benefits, AI challenges, AI competencies, AI controversy, AI impact, AI in Schools, AI training, Assemblies, assessment, Classroom tech, community, creativity, cultural bias, curriculum, Cybersecurity, digital literacy, edtech, education, Equity, ethics, feedback, GAI ethics, GAI policy, Generative AI, Global impact, Guidelines, inclusion, Informed consent, innovation, Learning tools, Monitoring, Parent engagement, Pedagogy, Personalised learning, policy, Professional Development, School policy, Stakeholders, student engagement, students, Sustainability, Teacher development, teachers, Tech adoption, Tech regulation, training, UNESCO, Workshops -
AI Principles to Practical Strategies: How Schools Can Apply the National AI Framework
The draft schools AI framework for education is currently open for feedback, alongside a House Standing Committee parliamentary inquiry into Generative Artificial Intelligence in education. The draft framework represents an important step for schools trying to adapt to the challenges and opportunities of Generative AI. I’ve been working with schools on developing their own…
Leon Furze
Accountability, AI, Artificial, arts, assessment, bias, ChatGPT, classroom, Consent, curriculum, data, development, education, ethics, Fairness, GAI, generative, innovation, Integration, Intelligence, Microsoft., policy, Principles, privacy, Professional, Security, strategies, teaching, technology, Transparency, Visual, Wellbeing -
Teaching Writing with Generative AI
This post is based on a presentation I ran recently at the AATE conference. It takes the writing cycle approach from our book ‘Practical Writing Strategies‘ and applies Generative AI at various stages. One of the most pressing concerns at the recent Australian Association for the Teaching of English (AATE) conference was the implications of…
Leon Furze
AATE conference, AI Assessment Scale, AI ethics, analytical writing, assessment task, audience, audience personas, audience profile, authentic audiences, bias, blogs, book, brainstorming, brainstorming and organizing ideas, burning questions, ChatGPT, ChatGPT (3.5), class time, Claude’s Anthropic, climate crisis, close reading, collaboration, collaborative workshop, context, conventions, Digital, embedding GAI, English teachers, ethical use, example unit, Exploration, fiction, figurative language, final proofing, functional grammar, GAI and the Writing Cycle, GAI technologies, Generative AI, generic feedback, Google’s Bard, ideas, literary critic personas, literary critique, literary journals, literature class critical journals, media, mentor texts, Microsoft’s Bing, nonfiction, peer assessment, peer assessment and workshops, personal voice, poetry slams, polishing, Practical Writing Strategies, presentation, print, product, publication, Purpose, school anthologies, school newsletters, self-assessment, self-directed skills development, sensory details, sentence structure, skills, skills gaps, stages, step by step instructions, student writing, style, teachers, techniques, vivid imagery, vocabulary, voice, writing competitions, Writing Cycle, writing cycle approach, writing instruction, writing process -
Teaching AI Ethics: Power
This is the final post in a nine-part series exploring AI ethics, originally outlined in this post. Each post goes into detail on the ethical concern and provides practical ways to discuss these issues in a variety of subject areas. Here’s a full list of the rest of the series: This post on Power has…
Leon Furze
AI development., AI ethics, AI outputs, AI training, algorithmic bias, biased datasets, community needs, data bias, discrimination, environmental impact, ethical concerns, ethical guardrails, facial recognition, Fairness, hegemony, Justice, power, predictive policing, responsible AI use, social services, societal biases -
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
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 -
Teaching AI Ethics: Human Labour
This is the eighth post in a series exploring the nine areas of AI ethics outlined in this original post. Each post goes into detail on the ethical concern and provides practical ways to discuss these issues in a variety of subject areas. For the previous post on affect recognition, click here. When people think…
Leon Furze
AI development., AI ethics, AI outputs, AI training, algorithmic bias, biased datasets, community needs, data bias, discrimination, environmental impact, ethical concerns, ethical guardrails, facial recognition, Fairness, Justice, predictive policing, responsible AI use, social services, societal biases -
The AI Iceberg: Understanding ChatGPT
Analogies are useful for understanding complex ideas, and there are plenty of complexities for educators trying to wrap their heads around ChatGPT. In this post, I’ll try to explain some of the features of the chatbot and the model it’s built on top of. I’m deliberately avoiding any kind of analogy that represents the AI…
Leon Furze
AI, AI iceberg, analogies, analogy, API, applications, bedrock, bias, Bing, breaking point, capabilities, challenges, ChatGPT, coherent, colour coded hats, Comment, Common Crawl, comparisons, complexities, computer scientist, conceptualise, contextually appropriate, conversational tasks, correction, criticism, data privacy issues., dataset, discrimination, education, educational infographic, Educators, email, features, fine-tuned, GitHub, godlike, GPT-3, GPT-4, hidden, human, human language, iceberg, inappropriate, internet, knowledge, large language model, LLM, LLMs, magical, massive structure, melting point, misinformation, model, mystery, mythical, ocean, OpenAI’s GPT, PaLM, predict, proprietary, pyramid, Reddit, secondary education, sense check, sharks, snowman sculpture, social media sites, subscription, suggestion, The Pile, threats, toxic content, training process, Twitter, v2, Venn diagram, version 3.5, version 4, visible portion, waterline, watertight, Wikipedia -
Teaching AI Ethics: Affect Recognition
This is the seventh post in a series exploring the nine areas of AI ethics outlined in this original post. Each post goes into detail on the ethical concern and provides practical ways to discuss these issues in a variety of subject areas. For the previous post on datafication, click here. As artificial intelligence continues…
Leon Furze
AI development., AI ethics, AI outputs, AI training, algorithmic bias, biased datasets, community needs, data bias, discrimination, environmental impact, ethical concerns, ethical guardrails, facial recognition, Fairness, Justice, predictive policing, responsible AI use, social services, societal biases