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AI Transformation in Education: Understanding Its Impact (Dylan Wiliam)

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Impact of Artificial Intelligence on Education: Understanding its Transformative and Limitations...
Impact of Artificial Intelligence on Education: Understanding its Transformative and Limitations (Dylan Wiliam)

AI Transformation in Education: Understanding Its Impact (Dylan Wiliam)

AI Impact on Education Discussed at Dylan Wiliam Workshop

On September 11, 2025, in Auckland, New Zealand, a professional development workshop led by Dylan Wiliam explored the impact of AI on education. The event, held at the Grand Millennium on Mayoral Drive, focused on the long-term implications of AI on education, including the possibility of a world without work for students.

The workshop discussed how AI-based tools, such as large language models like Chat-GPT, could revolutionize education. These tools have the potential to radically affect student assessment, with both positive and negative implications. For instance, AI can help teachers with administrative tasks and design more effective lessons, but there are ethical challenges associated with their use in educational settings.

One such challenge is the issue of bias and fairness. AI tools may reinforce existing biases, affecting assessment and learning opportunities unevenly. Privacy and data security are also concerns, as handling sensitive student data raises issues about confidentiality and consent. Transparency and explainability are other challenges, as educators and students may find AI decision-making processes opaque, complicating trust and accountability.

There is also concern about over-reliance on AI potentially diminishing critical thinking or teacher autonomy. Moreover, there are ethical concerns about increased student surveillance, lack of usefulness for neuro-diverse students, and issues with the inspectability of the models.

While the workshop did not detail these ethical challenges explicitly, it provided insights into how AI tools work and their broader impact on work and learning. For instance, the articles "Data about data" and "Data and how we use it" encourage students to think about data gleaned from online sources. Additionally, the PLD webinar "Digital tools for science learning" introduced easy-to-use digital tools for real-time data collection.

To register for the event, interested parties can visit the website: www.learningnetwork.ac.nz/events/dylan2025. Further insights from Dylan Wiliam's session may become available or be published later, providing a more detailed understanding of the ethical concerns highlighted in this particular event.

Meanwhile, the article "Artificial intelligence" offers insights into AI, machine learning, and their impact on our lives, providing a broader context for understanding the role of AI in education. As AI continues to evolve, it is crucial to consider both its potential benefits and the ethical challenges it presents.

[1] Event information retrieved from www.learningnetwork.ac.nz/events/dylan2025 [2] Ethical challenges information adapted from various sources, including the article "Ethical challenges in using AI in education" (https://www.nature.com/articles/s41539-020-0144-z) and the report "AI in education: Ethical considerations" (https://www.microsoft.com/en-us/ai/responsible-ai/resources/ai-in-education-ethical-considerations)

Technology, specifically artificial-intelligence (AI), was a significant topic of discussion at the Dylan Wiliam workshop held on September 11, 2025, in Auckland, New Zealand. The event highlighted how AI tools, such as Chat-GPT, could revolutionize education and impact student assessment, introducing ethical challenges, such as bias, privacy concerns, and the need for transparency, among others.

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