streamlining Artificial Intelligence for Educators: The Crucial Points You Should Focus On (Presently)

In the ever-evolving world of education, the integration of Artificial Intelligence (AI) is becoming an increasingly significant topic. While the organization responsible for creating the guidelines for AI use in California schools remains unidentified, it is clear that expert groups and educational authorities are collaborating to shape this new landscape.

The use of AI in education is centred around the concept of big data, which refers to the large and continuously growing masses of data used to analyse student performance. However, it is essential for educators to be aware of the potential inequities that AI may perpetuate, particularly for marginalized students.

One strategy to detect AI use in student work is to ask them to write three Level Three DOK questions based on their essay after completing a written response. This approach can help educators identify instances of AI assistance. The key to effective AI use lies in the thought and practice that goes into prompting. The more carefully and thoughtfully prompts are crafted, the better the output from Large Language Models (LLMs).

Shorter data sets have been found to be effective in education, as they help manage the risks associated with AI. Yet, LLMs, such as ChatGPT, Microsoft's Copilot, and Google's Gemini, struggle with separating fact from fiction and can produce hallucinations. AI hallucinations, such as providing fabricated game stats and outcomes, can occur in AI systems.

Three components form the foundation for effectively and efficiently capturing AI's potential and productivity in education: Ethics, Prompting, and Resource Tools. Ethics are crucial in ensuring AI is used responsibly and equitably. Prompting, as mentioned earlier, is the method used to guide AI responses. Resource Tools encompass the various AI-powered resources available to educators, many of which are offered by edtech companies on freemium models, with premium features available for payment.

Perplexity is another up-and-coming AI tool that educators might find useful. It is essential for students to cite generative AI for transparency when using it as a source. A study involving thousands of students showed that plagiarism remained unchanged from pre-AI access and use, suggesting that AI may not be a silver bullet for combating academic dishonesty.

Microsoft and Google offer premium features for their AI tools either free or inexpensively. As AI platforms and products continue to flood the educational sector in the pioneering stage of AI in education, it is crucial for educators to approach these tools with a balance of excitement and caution. By understanding the ethics, mastering the art of prompting, and utilising the right resources, educators can harness the potential of AI to enhance learning experiences for all students.

streamlining Artificial Intelligence for Educators: The Crucial Points You Should Focus On (Presently)