Education remains a vital part of our lives. It shapes us into who we are, and prepares us for the world ahead. Naturally, it has evolved constantly throughout the years, and signs show it will continue to do so. Previously, I considered how the progression of artificial intelligence will likely shape our education system by the time we reach 2040. Now, I must look further ahead to 2050. Once again drawing from curated research, along with Wendell Bell’s theory, I intend to provide a full picture of how AI might transform both our teaching methods and equity in learning.
Like before, Bell’s theory will allow me to structure this blog around multiple futures – the possible, probable, and preferable outcomes. This framework has often been identified as crucial for examinations of the future – a way to explore what could happen, what is likely to happen, and what we want to happen (1).
Possible Futures
I’ll begin where I did before – with the open end the future will always be. Already, we’re seeing AI being developed to a level beyond our wildest dreams. With that in mind, many possibilities have been considered for 2040 – ranging from AI teachers to even independent learning. The amount of ideas brimming all point to a 2040 that will be steeped in experimentation. By 2050, these innovations will have become deeply embedded in our school systems.
With the presence of fully developed AI tutors, opportunities to close ever-widening gaps will present themselves. Each student could have their tutor tailored specifically to their needs – thus allowing individualised pacing and support. Students could learn at their own pace, with AI assistants answering questions on demand and adapting content to each learning style (2).
It has been predicted that teachers will remain an integral part of the process, only they will take on more of a mentor role. Grading and exam monitoring are fully automated in this scenario – allowing teachers to form stronger connections with students and act more as guides.
This environment gives way to the closing of the equity gap, as AI’s ever-growing grasp would have the potential to reach areas where the less fortunate are plentiful.
With every student receiving personalised learning, research has shown there’s a chance to improve overall student performance by 98%. These possibilities coalesce to predict a utopian future, where learning environments are led by smart tools which put the students’ experience first. In other words, we can see an expansion continuing from what has been predicted for 2040.
Prompt 1: Possible futures of education
The AI-generated images above depict two possibilities – one that reflects the potential benefits that tech-driven learning could bring, and one that portrays more of a dystopia. In this future, human teachers have been completely replaced with AI, something experts have already advised strongly against. Furthermore, the atmosphere is sterile – thus suggesting a learning environment that is less AI and more robotic. It points to fears regarding total surveillance and biased algorithms, possibilities that would work against the idea of progress.
Naturally, the possibilities are endless. Alongside an image of warmth is another that could easily drain it.
Probable Futures
This is where I explore the outcomes that are mostly likely to occur – a space in which many of the possibilities may intertwine.
A widely projected issue happens to be one we’re already attempting to deal with – that being overpopulation. It has been predicted that, by 2050, the world will need to educate two billion more individuals than it does today. The challenge of meeting this demand will likely require AI-driven innovation – the kind of which will have already been developed as early as 2040. What is most probable is the prospect of AI-human teacher collaboration, as opposed to a full AI replacement. By 2050, the probable future is that AI will be as commonplace in schools as whiteboards and textbooks, functioning as an assistant to the teachers.
This dynamic will grant teachers more time and energy to focus on meaningful one-on-one interactions – guiding project work and nurturing social skills. In the meantime, the AI will provide organisation and grading, and even generate lesson plans (2).
According to experts, we’re likely to see regular evaluations integrated into learning software to consistently track comprehension and adjust lessons accordingly. If so, we’ll certainly see improvements in educational equity. However, the ability for these upgrades to spread worldwide will depend on policy and investment – inequality won’t vanish automatically.
Prompt 2: Probable future of education
The image above depicts our probable future – one in which both AI and human learning will intertwine. Students are benefitting from personalisation, all while still being guided and grounded by human educators.
Preferable Futures
Lastly, there’s the future that would benefit us the most. In a perfect world, AI would be harnessed thoughtfully to ensure an education that is both inclusive and of high quality. It could become a great equaliser – a tool used to bridge regional gaps.
It has been predicted that, by 2050, a global network of AI-driven learning platforms could deliver personalised lessons in any language. Already, we’ve seen attempts to solve this divide through the Internet – AI is the next natural step.
In a perfect world, classrooms remain human-centric. AI is a supportive tool, one that should assist with the collaboration, ethical reasoning, and imagination that makes us human. The focus of the AI should be on gauging student progress in a way that is fair and tailored to the needs of each student. These programs should cater to students with disabilities and different learning styles – thus bridging whatever gaps the teacher fails to fill, and leaving them to focus on the more hands-on learning.
Prompt 3: Preferable future of education
The image above presents the preferable future of education – one where human teaching remains at the centre of the process. The AI element works to complement the teaching, as both an assistant and as a translator. The image presents a future that has passed the experimentation phase that 2040 will be – thus becoming the inclusive utopia we all dreamed of.
Well, ideally anyway.
With the right ethical frameworks and reform, this future could become not only preferable, but also projected.
It would seem the key for developers is to prioritise equity, as it would ensure access to quality education for all. More than anything else, a human perspective must remain at the centre of each program.
References
(1) Angeura, C, Santisteban, A. (2016) Images of the Future: Perspectives of Students From Barcelona, Journal of Futures Studies
(2) B-Lessons Academy (2023) How AI might impact education from now to 2050, linkedin https://www.linkedin.com/pulse/how-ai-might-impact-education-from-now-2050-b-lessons-academy/
ALL IMAGES WERE CREATED WITH CHATGPT IMAGE GENERATOR
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