With the ongoing evolution and increasing presence of AI in education, it is crucial for teachers to remain knowledgeable and stay abreast of the latest research, best practices, and ethical considerations associated with integrating AI into their classrooms. By conscientiously and responsibly harnessing the potential of AI in education, teachers can discover fresh avenues for unpacking and enhancing curriculum, personalized learning, assessment, and engagement. Ultimately, this empowers their students with the necessary skills and knowledge to flourish in the modern era.
These questions and answers serve as a starting point for discussions about AI in education, and there may be additional questions that arise based on the context and specific concerns of individual teachers.
An AI letter was sent to VBCPS staff.
An AI letter was also sent to VBCPS families.
AI information was shared with families through a VBschools blog post in The Core.
As we continue to integrate technology into our classrooms and curriculum, it's important we address the growing role of Generative AI and strike a balance between embracing its potential and ensuring responsible usage.
AI refers to machines or computer systems capable of performing tasks that typically require human intelligence. AI works through algorithms and data processing, enabling machines to learn, analyze, and make autonomous decisions. Remember, AI is like having a personal smart "side-kick" that can learn, be creative, and solve complex problems!
For more information about how AI works, please visit our AI Explained page.
Teachers may save time by using generative AI to brainstorm, create additional curricular resources, generate ideas, provide writing assistance, and to generate feedback based on a rubric, to name a few.
Check out tips and examples of ways teachers are using generative AI to help them save time in our Prompt Engineering document.
While AI can support all kinds of creative thinking and design or provide basic information, it cannot replace the role of a teacher in building relationships, providing emotional support, fostering critical thinking, and adapting instruction to meet the unique needs of each student.
Ethical considerations of using AI in the classroom include issues related to data privacy, bias and fairness in algorithms, accuracy and bias in output, and equitable access to AI technologies. For more information about AI and copyright, privacy considerations, and misinformation, please visit our Ethical Considerations page.
*AI detectors are not highly reliable tools. They can be the beginning of a conversation between students and teachers. "Your human senses might detect that something doesn't look or sound like them better than an AI checker could. " ~Matt Miller
*How to Handle Plagiarism with AI Tips- Common Sense Media
*With AI as a "partner," rethinking cheating and plagiarism are essential. Great conversation starter here. Also, this recent post by Holly Clark provides us with ideas for what to do instead of using AI detection applications.
OpenAI Privacy Policy See #6 about use by children under 13.
Children older than 13, but under 18 must have consent from a parent or guardian to use ChatGPT.
As we strive to prepare our learners for a world where they interact with AI regularly, we will continue to investigate and recommend best use guidance.
We have created several Wakelets to keep the learning going!
For starters, we have developed this website and Explore Board to provide some of the basics. There is a plan to share our experiences with the formation of early adopter groups in our schools and a gallery to show the potential and possibilities of AI. Refining skills for prompt engineering is a good place to start. Many "paid subscription" sites are built upon Open AI.
Machine Learning is based on teaching a system to analyze data, learn from it, and make informed decisions or predictions.
In Generative AI such as ChatGPT, the system adheres to underlying patterns while creating something new. So, it not only recognizes patterns but can also generate new content that mimics the data on which it was trained.
Deep Learning is a special kind of machine learning that uses many layers to learn complex things. It processes data in a way that is inspired by the human brain.
Get to know students' writing as much as possible.
Do some writing in class, staying mindful of some students' limitations to do so.
*Use formative assessment to get snapshots of progress over time.
Play with AI platforms yourself to understand what they can and can't do. Plug in your prompts and test them.
*Evaluate your prompts “as a student” and try to include a student-centered approach that features emotional intelligence and experience. As one teacher says, "If you don't want generic answers, don't ask generic questions."
Test AI tools together and discuss their limitations.
*Go through the writing/learning process, not just assign and turn in an end product. Student brainstorming and prewriting will be essential to possible pl
If needed for stamina writing all at one time/place. Use Securly Classroom to monitor.
As a last resort, there are tools you can use to detect AI, but be aware that they aren't perfect and can even sometimes flag plagiarism where it doesn't exist.
Source: Common Sense Media and Secondary English DTAL