but there are some general guidelines for prompting that seem to help the AI return more useful completions to you.. One such structure is: • Role (act as…) • Task (summary of what the AI needs to do) • Requirements (what the completion needs to include, contain, be, etc.) • Instructions (what the AI should do to act on the prompt)
answers to our prompts based on available evidence, probability and analysis. • AI hallucinates, in some contexts more than others. • AI can, and will, fixate depending on its training data. • AI will be the working partner you shape it to be. • AI doesn’t empathise.
easier for anyone to create assignments, essays, exams, and even publications. • Critical thinking: With AI providing quick answers, people may become overly reliant on AI-generated information, hindering their ability to develop critical thinking and problem-solving skills.
easier for anyone to create assignments, essays, exams, and even publications. • Critical thinking: With AI providing quick answers, people may become overly reliant on AI-generated information, hindering their ability to develop critical thinking and problem-solving skills. • Teaching, learning and assessment methods: Educators need to adapt our methods to incorporate, address, and challenge AI platforms effectively.
easier for anyone to create assignments, essays, exams, and even publications. • Critical thinking: With AI providing quick answers, people may become overly reliant on AI-generated information, hindering their ability to develop critical thinking and problem-solving skills. • Teaching, learning and assessment methods: Educators need to adapt our methods to incorporate, address, and challenge AI platforms effectively. • Bias: AI models can unintentionally perpetuate biases present in their training data. Educators need to be aware of these biases and teach students how to identify and challenge them.
easier for anyone to create assignments, essays, exams, and even publications. • Critical thinking: With AI providing quick answers, people may become overly reliant on AI-generated information, hindering their ability to develop critical thinking and problem-solving skills. • Teaching, learning and assessment methods: Educators need to adapt our methods to incorporate, address, and challenge AI platforms effectively. • Bias: AI models can unintentionally perpetuate biases present in their training data. Educators need to be aware of these biases and teach students how to identify and challenge them. • Ethical concerns: Educators and researchers also need to consider privacy concerns, data security, copyright and the impact on student autonomy.
easier for anyone to create assignments, essays, exams, and even publications. • Critical thinking: With AI providing quick answers, people may become overly reliant on AI-generated information, hindering their ability to develop critical thinking and problem-solving skills. • Teaching, learning and assessment methods: Educators need to adapt our methods to incorporate, address, and challenge AI platforms effectively. • Bias: AI models can unintentionally perpetuate biases present in their training data. Educators need to be aware of these biases and teach students how to identify and challenge them. • Ethical concerns: Educators and researchers also need to consider privacy concerns, data security, copyright and the impact on student autonomy. • Evaluation of AI tools: It is challenging to identify and evaluate the quality, effectiveness, and appropriateness of various AI tools available for educational use, so we need to work together and share our practice.
to prepare learners for a world in-which interaction with AI systems will be an integral part of their working lives. • How to explore with them, the ethics of using these platforms and what responsible usage looks like. • How to design for/with AI. • How to assess learning for/with AI. • How to offer something which AI cannot…
a university class. The Terminator is standing at the front of a modern lecture theatre, wearing a leather jacket and sunglasses, pointing at a chalkboard with complex diagrams and equations. At least half his face is robotic. The lecture theatre has tiered seating with rows of desks and chairs. The classroom is filled with diverse university students, attentively listening and taking notes. The background includes typical lecture theatre elements like a podium, large windows letting in daylight, and academic posters on the walls. The overall atmosphere is academic. The camera is positioned at the rear of the class, taking a photo down into the class looking toward the terminator. THANKS (AI)
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