A Day Under the Algorithm: A Day in the AI-Run School

Welcome to Pixelwood School. It’s a place that only exists in my imagination… for now.

Today, I’m taking you on a thought experiment. We’ll explore three ways a single day at school could unfold: fully human, fully AI, and a unique hybrid approach.

Is this just a daydream? Maybe. But what if dreaming could spark ideas that shape the future.

Disclaimer: Imagined applications of biometrics in this work are for creative purposes only. Real-world use of biometrics carries significant risks to privacy, security, and potential discrimination. Any responsible deployment must prioritise these concerns, as outlined in the EU AI Act

8:00 AM – Arrival

Human: The morning rush creates a flurry of activity. Mrs. Jenkins welcomes each child with a smile and a kind word, her observant eyes catching subtle signs of excitement or worry. However, the sheer volume of students can sometimes limit her ability to address every individual need.

AI: Facial recognition effortlessly tracks attendance, while emotional analysis software highlights students exhibiting potential signs of distress. While efficient, this method lacks the nuanced understanding of a human observer.

Hybrid: Mrs. Jenkins welcomes pupils at the entrance, her focus now on genuine interactions and providing support where needed. The AI handles attendance tracking with precision, flagging potential concerns for Mrs. Jenkins to address with sensitivity.

8:00 AM – Arrival

Human: The morning rush creates a flurry of activity. Mrs. Jenkins welcomes each child with a smile and a kind word, her observant eyes catching subtle signs of excitement or worry. However, the sheer volume of students can sometimes limit her ability to address every individual need.

AI: Facial recognition effortlessly marks attendance, while emotional analysis software highlights students needing extra attention. This efficient system lacks the nuance to fully understand the complexities of a child’s mood.

Hybrid: Mrs. Jenkins stands at the entrance, her focus now on genuine interaction and offering support where needed. AI handles precise attendance tracking, flagging potential concerns for Mrs. Jenkins to investigate with her trademark empathy.

8:15 AM – 8:30 AM – Tutorial

Human: Mrs. Baxter, a seasoned form tutor, cherishes this time to connect with her group. She asks about weekend highlights, notices who’s missing, and offers encouragement. Yet, providing in-depth guidance to every student in this limited time is a challenge.

AI: The AI system maintains a comprehensive profile of each student, including academics, attendance, and previous interactions. This data lacks the warmth and intuitive understanding Mrs. Baxter brings to her role.

Hybrid: Mrs. Baxter reviews the AI-generated student profiles before form time, gaining insights for the day. This allows her to focus on individual needs, bringing her warmth and expertise to those precious, limited moments of connection.

8:30 AM – 9:15 AM – English Literature

Human: “Who’s ready for some Shakespeare?” Ms. Jamil’s enthusiasm is infectious. She sparks curiosity with personal anecdotes, but sometimes her passion might lead her to favour certain works or interpretations.

AI: The AI presents precise literary analysis, exploring texts through history and societal context. It allows students to delve into diverse works at their own pace. However, it can’t ignite the spark of human-led discussions and debates.

Hybrid: Ms. Jamil’s inspiring introduction sets the stage. The AI supports individual analysis of diverse texts, empowering exploration. She then skillfully orchestrates the classroom conversation, encouraging critical thinking.

9:15 AM – 10:00 AM – Maths

Human: “Don’t worry, I struggled with algebra too!” confesses Mr. Parker, as he tackles equations with relatable examples from sport and gaming. His honesty makes the subject approachable, but some students may still crave a more structured and methodical approach.

AI: The AI offers engaging simulations and game-like practice environments free from the pressure of classroom performance. It patiently explains concepts in various ways until a pupil reaches a strong understanding. Yet, it lacks the ability to connect concepts to the real-world like a skilled teacher can.

Hybrid: The AI provides an engaging, pressure-free space for practice and concept exploration. It patiently tailors explanations, while also connecting those concepts to tangible examples. Mr. Parker oversees the process, offering additional real-world context, and addressing any remaining gaps in understanding.

10:00 AM – 10:30 AM – Break

Human: The playground is full of energy – kids laughing, shouting, and sometimes even a few tears. It’s a little chaotic, but that’s where kids learn important things like sharing, making friends, and solving their own problems.

AI: Cameras and sensors on the playground help keep kids safe. They alert adults quickly if there’s potential trouble. The AI also suggests fun, inclusive games and activities to get everyone moving and playing together.

Hybrid: The best playgrounds balance safety with freedom. AI tools make everyone feel secure, while special tech-free zones let kids use their imaginations, solve problems, and build friendships the old-fashioned way.

10:30 AM – 11:15 AM – Science

Human: Frankie’s experiment goes awry, causing a smoky mess but also a burst of excited laughter. Dr. Malhotra expertly manages the situation, turning it into a teachable moment about unexpected outcomes and the importance of safety protocols. The classroom lab buzzes with the thrill of hands-on learning, though the potential for accidents and resource limitations always exist.

AI: Virtual labs offer a safe environment for limitless experimentation – dangerous, expensive, or even impossible in the real world. Complex processes are simulated realistically. However, these simulations can lack the unpredictable element of real-world experiments.

Hybrid: The AI provides a theoretical foundation through virtual simulations, allowing students to experiment fearlessly. This prepares them for real-world lab work supervised by Dr. Malhotra, where the thrill of hands-on discovery is balanced with safety and an understanding of real-world limitations

11:15 AM – 12:00 PM – P.E.

Human: The field echoes with cheers and groans during competitive games. Team selection brings social dynamics into play, and participation varies – some thrive, while others feel awkward or lack intrinsic motivation. It’s a challenge for a single teacher to address every student’s needs within a group setting.

AI: Gamified fitness programmes track individual progress and encourage healthy competition. The AI can tailor challenges and provide discreet support, potentially motivating those who feel self-conscious in group settings. Yet, it lacks the ability to build team spirit or foster the social connection at the heart of sports play.

Hybrid: PE lessons blend collaborative games, with confident students leading, building team spirit. The AI offers personalised fitness programs, allowing students of all abilities to work toward individual goals while contributing to the overall energy of the class.

12:00 PM – 12:45 PM – Lunch

Human: The canteen is a whirlwind of activity – a cacophony of chatter, laughter, and the occasional spilled lunch tray. It’s a key social space, where friendships are forged and conflicts sometimes simmer. While well-meaning, adults can’t oversee every interaction.

AI: The AI system creates nutritionally balanced meals tailored to individual needs, ensuring optimal energy and focus. It eliminates the frustration of unappetising options or food waste. However, it cannot replicate the spontaneous social learning that occurs during a shared mealtime.

Hybrid: Individualised meals, supported by the AI, ensure each student is well-nourished. The canteen remains a lively social space. Teachers and staff are present to offer subtle guidance and support, mediating where necessary to foster a positive atmosphere

12:45 PM – 1:30 PM – Drama

Human: “More feeling, Oliver! Imagine those tears are like the mighty Danube!” Mrs. Baxter encourages, her voice loud but playful amidst the giggles. While her enthusiasm can be overwhelming for some, by tapping into personal experiences and physicality, she helps students find their expressive voice.

AI: World-class vocal and movement coaches within the AI provide detailed, objective feedback on technique. The AI offers non-judgmental practice space and endless encouragement, but lacks the ability to nurture the vulnerable emotional expression required for acting.

Hybrid: The AI provides a foundation of technical skill for voice and movement, allowing pupils to practice independently. Mrs. Baxter uses this freed-up time for emotive exercises and improvisation, where her ability to connect with students and spark their imaginations is irreplaceable.

1:30 PM – 2:15 PM – French

Human: “Encore une fois, repeat after me…” Ms. Clement’s immersive lessons encourage students to actively practice their French. Some thrive in the dynamic environment, while others feel intimidated, fearing mistakes in front of their peers. Even the most enthusiastic teacher can’t always shield every student from this anxiety.

AI: AI language tutors provide flawless pronunciation models and endless, judgment-free conversation practice. Virtual pen pals from across the French-speaking world offer real-world context for language use. The AI excels at pinpointing specific areas needing improvement, offering personalised feedback. However, it cannot fully replicate the social nuances and anxieties of in-person interactions.

Hybrid: AI tools offer a safe space to build confidence in pronunciation and conversational basics. This prepares students for Ms. Clement’s immersive lessons, where they can focus on fluency and cultural exchange. She, in turn, can identify those still struggling with anxiety and offer targeted support.

2:15 PM – 3:00 PM – Computer Science

Human: Mr. Wemyss’s coding class crackles with energy. He introduces loops with relatable examples and encourages fearless experimentation. His focused guidance empowers the majority to grasp the concept quickly, emphasizing the problem-solving aspect. Yet, a few students may require extra support.

AI: The AI offers cutting-edge tutorials, adapting to the latest technologies. It provides instant feedback and step-by-step guidance. However, its focus on individual mastery risks overlooking the importance of collaboration in real-world coding.

Hybrid: The AI empowers students with the technical foundations, allowing them to progress independently. They then apply those skills in collaborative projects overseen by Mr. Wemyss. He guides the process, fostering teamwork, and addresses any knowledge gaps beyond the AI’s scope.

3:00 PM – 3:45 PM – PSHE

Human: Ms. Thompson expertly navigates sensitive PSHE topics, fostering open-mindedness and respect. Her empathy and experience are invaluable, but even the most skilled teacher may find it challenging to address every student’s unique perspective within a single lesson.

AI: The AI delivers objective information on a wide range of delicate subjects with clinical precision. Simulations offer a risk-free space to practice navigating difficult scenarios. Yet, it lacks the nuanced understanding of human emotions and potential biases that are crucial to PSHE discussions.

Hybrid: The AI provides information and scenario practice to build students’ knowledge, highlighting that even AI systems can have unintentional biases. This sets the stage for Ms. Thompson to facilitate discussions, fostering a supportive space for students to identify biases, think critically, and understand the emotional undercurrents of real-world interactions.

3:45 PM – Dismissal

Human: The final bell rings, signalling the close of the school day. Rucksacks are quickly filled, lively chatter fills the air, and pupils gather their belongings. Mrs. Collins stands by the doorway, offering warm farewells as they stream past. Her presence adds a comforting touch as the children leave for the day.

AI: Alongside the familiar dismissal routine, discreet sensors aid in organisation. Rucksacks and other belongings are tagged and tracked, minimising lost items. Parents receive real-time notifications of their child’s progress through the dismissal process, making pick-up coordination smoother. While the AI streamlines logistics, it’s important to remember that a system solely reliant on technology can miss those small, unexpected hiccups that often require a human touch.

Hybrid: The ideal dismissal blends technology with the human element. AI manages the complex logistics of tracking belongings, streamlining procedures, and coordinating transport. This allows Mrs. Collins to focus on the connections that matter: a smile, a kind word, and a genuine acknowledgment that each pupil’s day is more than just a timetable.

The Bell Rings

The final bell echoes through the halls, and Pixelwood quiets. But the energy lingers – a spark of possibility in the air, for students and teachers alike.

This glimpse into Pixelwood is just that – a glimpse.

The real question is: what will the future of education look like?

Here’s the exciting part: we get to decide!

Maybe the answer isn’t “AI or teachers,” but “AI AND teachers.”

This isn’t just about technology or efficiency. It’s about creating a school where every kid can feel challenged, supported, and genuinely excited about their future. A school powered by both the incredible things humans can do AND the amazing tools we use.

What do you think? Does this vision of Pixelwood seem realistic? Is there anything you think I might be over-imagining?


2 responses to “A Day Under the Algorithm: A Day in the AI-Run School”

  1. […] A Day Under the Algorithm: A Day in the AI-Run School […]

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  2. […] A Day Under the Algorithm: A Day in the AI-Run School – Matthew Wemyss […]

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