An AI world without being 'experienced'
As I become more and more reliant on #ai to enhance my #teaching practice, I have begun to wonder about the value and place of experience, of being experienced.
According to the Oxford definition, being experienced means:
having gained knowledge or skill in a particular field over time
This definition is what I am referring to in this article but I also want to include all the nuances, the uncategorised, often inexplicable elements that come with being experienced, remembering that the state of 'experienced' is not an absolute but a continuum.
Sharing my growth and reliance on #ai in the last few months.......
I have become increasingly reliant on AI tools to develop #teaching and #learning resources, for #administrative tasks both in #school and from home. Some examples:
Chatbots
I use AI #chatbots to ideate, find things out, develop concepts, structure thoughts, projects and self-discovery (#chatgpt, #bingchat). Sometimes, these tools rescue me from rabbit holes. Other times, they send me further down these burrows!
Presentation
I use tools Gamma, Tome and GPT4Slides to present content and as front ends to information I am providing to learners or for presentations, not to mention in-built functions in MS PowerPoint such as the Designer function.
Image Generators
I use image generators such as StableDiffusion, Midjourney, Bing image creator and Lexica to explore my creative side at times but I also use these to create and sources images to enhance content I produce.
Other tools I use extensively but for a plethora of tasks include Compose.ai and Notion.ai and I am sure I have missed lots out.
Yet, lately my thoughts have turned to the value of being an educator for over 23 years and how that influences the use of AI. To explain this using a contrasting lack of experience, the questions that come to mind are:
How does use and reliance on AI, affect those #teachers who have little or no experience?
Are teachers who have little or no knowledge or skills able to produce output, hone output, rely on output and be effective with output from using AI tools to the same extent as someone with greater experience?
Can teachers gain experience synthetically, ie using AI?
If there is a difference between an experienced teacher using AI and an inexperienced teacher doing the same and that difference equals lessquality for the inexperienced, what is then required in #education to ensure that #aieducation does not lose the benefits of experience?
Are there actually enhancements ie better models of practice when teachers who little experience (as we know it) but become highly skilled with use of AI in education?
I dont have answers to these but I wanted to add to the thinking in this area. I would love your input
