AI & The Future Of Learning
While AI asset management has helped finance, recent developments with generative AI technology have caused speculation in other industries. The ability to teach an AI model to create text and image content from prompts is unprecedented.
It’s time to consider how AI can aid other forms of education. Here’s a brief rundown of the benefits and drawbacks of using AI for generalized education.
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AI Teachers Are Currently Limited
Generative AI models are limited when trained from pre-existing content. However, it suits them to create education curricula where teaching resources are limited. Current AI can struggle with real-time reactions because of their training on prior content.
This makes AI limited to the role of teacher, not a real-time helper. Using a simple game of blackjack as an example, you cannot bring your laptop to the table. In that case, you’ll need to learn the rules of blackjack yourself beforehand. Some casinos have different rules for blackjack too, like whether they allow surrender or not, further complicating the issue. So, it’s better to learn the most optimal strategies that span all games, along with card values and when to hit, split, or stand so that the odds are on your side.
The earliest iterations of ChatGPT purposely limited its data sampling to a 2021 cut-off, further limiting its scope of knowledge. This is expected to be stamped out in the future as AI becomes more reactive.
AI Could Help Learning At Home
Low-level AI implementation has already helped teachers arrange lessons and build learning tools for use in the classroom. However, the possibility of an AI teaching model means that it could be accessed outside of teaching hours. Students struggling with work done at home or at their dorm could benefit from AI assistance where a human is not available.
It would be a much more efficient way of supporting education than having to email a lecturer during their off hours. It also lessens the pressure that students feel when completing homework and at-home assignments, as the efficacy of homework gets debated nationwide.
Of course, a lot of learning happens once we have left the education system. Similar at-home AI programs can help everybody learn more during their off hours, from hobbyists to industry climbers, by making learning a simpler and more convenient process.
AI Learning Could Be Personalized
The main benefit of generative AI, no matter what industry is using it, is personalization. Starting a session with an AI model and tailoring it to the outcomes you want is one of the most powerful advantages of this technology. Even images and audio can be personalized. For learning, it has exciting implications.
It enables individualized learning, suited to different peoples’ learning styles and other needs they may have. A teacher may not have all those bases covered but an AI will, giving much-needed support to educators.
This means that the AI won’t just teach curricula, it can adjust and tailor each curriculum to any learner’s benefit. That also includes leaping over language barriers, so AI learning could affordably and efficiently universalize education standards across borders.
The future is looking bright for AI as a learning tool. The personalization inherent in generative AI is great at addressing long-standing shortcomings in standardized education, and learning doesn’t have to be limited to places of education.
