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The Integration of AI Language Models in Schools: Progress or Problem?

Writer's picture: Sean GohSean Goh

In this blog, we will be discussing the integration of AI language models in schools and of they are a progress or a bigger problem.


Artificial intelligence, particularly AI language models like ChatGPT and Bard, has made significant strides in the past few years, and their integration into various sectors, including education, is increasingly debated. Should students be taught to harness the power of these tools, or should we approach with caution?

Image - students in a lecture hall learning and being thought by a professor.
The Integration of AI Language Models in Schools: Progress or Problem?


The Case for AI Integration in Education:


1. Fostering Future-Ready Skills:

Teaching students how to use AI tools can help them acquire the skills necessary for the future job market. Many industries already leverage AI, and proficiency with these tools could give students a competitive edge in many industries. We are seeing a rapidly increasing implementation of Ai in almost every industry and to lack in certain knowledge would mean being left behind.



2. Enhancing Research & Learning:

Language models can sift through vast amounts of data in seconds, providing students with concise and relevant information, aiding in research and project work. The "fishbone in the throat" of this topic is how students around the world at every level are using Ai language models like Chat GPT to assist them in doing school work. But we'll get to that in a bit.



3. Personalized Learning:

AI-driven platforms can offer tailored learning experiences, adapting to each student's pace and style. This can be particularly beneficial for students who might be lagging behind or those who need advanced materials. As it stands, no one has really explored this space in-depth yet. Maybe, this could be your next business idea!



4. Encouraging Technological Literacy:

In a world increasingly governed by technology, understanding how AI models work and their implications can lead to a more informed and tech-literate populace. It's not that hard either. To put it simply, children today are beginning to use iPads as a daily accessory. Years ago, iPads were only used by professionals or those who need to have a bigger version of the "PDA" and something not as complex as a computer. Similar to Ai, I feel more and more of the young will begin using them with a proper structure of governance around it.



Concerns from Academics:


illustration - depicting an image generated by Ai showing words that are crucial.
The Integration of AI Language Models in Schools: Progress or Problem?

1. Over-reliance:

There's a fear that students might become overly reliant on AI for tasks, undermining the development of critical thinking and problem-solving skills. This is the issue that is currently affecting many institutions worldwide and schools are finding solutions around them. I've seen recently that someone even built a program to detect if content provided is Ai generated.



2. Authenticity Issues:

With language models aiding in generating content, there could be concerns about plagiarism and the authenticity of a student's work. Many students have already been caught for such cases as they get caught with plagiarism from using Ai language modes in assignments and sometimes, even research papers.



3. Privacy Concerns: Using AI platforms for schoolwork could lead to potential data privacy issues for underage students. Many of these companies guarantee that their data is protected but how secure are they from both internal and external threats? Are we going to see another case of data privacy protection being raised by congress again?



4. Dilution of Traditional Learning: Some educators believe that AI tools might overshadow traditional methods of teaching and learning, which have their own set of values and benefits. While I was in college a few years back, I remember seeing a big shift in the way knowledge was being delivered to us. For the longest time, the way we learn was very theoretical but over the course of a few years, I noticed most of my course work and material were very "real world". In the sense, my assignments were literally cold calls and emails.



While the concerns from the academic community are valid, it's essential to adapt and evolve with the technological advances of our time. Rather than shunning AI language models, I personally think educators and their respective institutions should focus on creating a balanced approach, integrating these tools while ensuring the foundational skills of students aren't compromised.


By doing so, we not only prepare our students for a future dominated by AI but also ensure they're equipped with the skills to use such tools responsibly and effectively. Embracing AI in education isn't just about staying updated; it's about equipping the next generation for a world where technology and human intellect work in tandem.



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The Seeking Seagull is a blog page independently founded by Sean with the goal to make education on complex topics more accessible to the masses. Adding on, our goal is also to enrich your lives with tips on how you can live a better life as we are all human and we learn from our pitfalls. With that, we welcome you to The Seeking Seagull.

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