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Personalising learning with AI: A vision for the future

A transformative era in the education sector is being driven by the integration of Artificial Intelligence (AI). AI is redefining how we teach and learn, from personalised learning experiences to adaptive environments and innovative assessment methods. For ChangeSchool, this is not just a future vision; it is a present reality. As contributors to global conversations on AI in education and our alignment with Sustainable Development Goals (SDGs), we are integrating AI into learning environments, particularly through our Central Asia Executive MBA programme and forthcoming LIF webinar series on the topic of AI in business.


Personalising education for a global audience

Imagine a classroom where each student’s journey is uniquely tailored to their pace, style, and cultural background. AI enables this by continuously analysing performance and adapting content in real-time. For example, at the University of Bristol, the Faculty of Engineering has integrated adaptive learning technologies into its teaching approach, particularly for engineering and mathematics courses. By utilising sophisticated AI algorithms, the university tailors course content based on student progress, enhancing engagement and academic success


Moreover, traditional assessment methods are evolving. At the University of Edinburgh, AI-powered tools are piloting dynamic, scenario-based assessments, replacing rigid tests with methods that reflect real-world problem-solving. Such innovations are particularly relevant in healthcare education, where immersive simulations using AI-driven AR and VR prepare professionals for high-stakes environments.


Creating smart campuses

The classroom of the future extends beyond four walls. AI-powered smart campuses—like those developed by Siemens and adopted by institutions in Germany and Singapore—are redefining the educational environment. These spaces harness AI to monitor energy efficiency, enhance security, and builds collaborative learning through real-time data analysis. The University of Northampton has implemented AI-driven chatbots to answer over 300 different types of student inquiries, improving response times and overall student satisfaction. This technology not only enhances the student experience but also frees up staff time for more complex tasks.


AI-Powered Smart Campus Scene
AI-Powered Smart Campus Scene

Ethical considerations and inclusivity

While AI offers transformative potential, ethical concerns remain - addressing issues like algorithmic bias, data privacy, and transparency is critical. Collaborations, such as those between our partners King’s College London and digital ethics think tanks, showcase frameworks for ensuring fairness and inclusivity. The University of Reading has developed a comprehensive three-category approach for integrating AI into assessments. This system addresses ethical concerns by clearly defining when and how AI tools can be used, ensuring fairness and maintaining academic integrity.


A way forward

By integrating AI into educational systems, we can build a future-ready workforce equipped with critical thinking and adaptability. The University of Leeds has implemented a University Buddy Scheme utilizing an online platform called SUMAC. This AI-powered system offers students the opportunity to connect with peers they might not otherwise meet, fostering a more inclusive and diverse campus community


How AI is shaping smarter, more inclusive learning

AI-driven tools, particularly chatbots and predictive analytics, are revolutionising education by making learning more accessible, personalised, and effective. At the University of Bristol, the Faculty of Engineering has integrated adaptive learning technologies into its teaching approach, particularly for engineering and mathematics courses. By utilizing sophisticated AI algorithms, the university tailors course content based on student progress, enhancing engagement and academic success


Chatbots: personalised support at scale

AI-driven chatbots, like ChatGPT, have already transformed how students interact with educational content. These tools simplify complex materials, making them accessible for students with ADHD or those facing language barriers. For instance, degree apprenticeship students in the UK are leveraging ChatGPT to navigate complex research methods, bridging gaps that traditional instruction sometimes leaves unaddressed.


In addition to answering queries, chatbots foster continuous engagement. At the University of Northampton, AI-driven chatbots answer over 300 different types of student inquiries, providing 24/7 support and improving response times. This system not only enhances the student experience but also frees up staff time for more complex tasks. Similarly, ChangeSchool’s upcoming LIF webinars on AI in business programme will incorporate chatbot-based assistance to enhance participant learning.


Predictive analytics: proactive interventions

The ability of AI to analyse vast datasets has unlocked new avenues for educational success. Predictive analytics tools can identify students at risk of underperforming, enabling timely interventions. For example, the University of Leeds has implemented an AI-powered University Buddy Scheme using the SUMAC platform. This system connects students with peers they might not otherwise meet, fostering a more inclusive and diverse campus community

At ChangeSchool, we aim to adopt similar technologies to monitor and enhance student outcomes in real-time. By integrating predictive analytics into our Central Asia MBA programme, we ensure that no learner is left behind, building a culture of proactive support and excellence.


Ethical use

While AI offers unparalleled benefits, its adoption must be guided by ethical considerations. Addressing challenges such as algorithmic bias and data privacy is essential for trust and equity. The University of Reading has developed a comprehensive three-category approach for integrating AI into assessments. This system addresses ethical concerns by clearly defining when and how AI tools can be used, ensuring fairness and maintaining academic integrity


Equally critical is preparing educators to work alongside AI. Professional development programmes, such as those offered by Imperial College London, equip teachers to use AI effectively, ensuring that these tools enhance rather than replace the human element of education.


Looking ahead

As AI technologies evolve, they will continue to reshape education. The integration of chatbots, predictive analytics, and other AI tools promises to make learning more inclusive, efficient, and impactful. At ChangeSchool, we are incorporating these innovations to create a brighter, more equitable future for education.


Background:

ChangeSchool has been evaluating AI for learning for a couple of years and is a regular contributor to panels on AI in Higher education, implementing SDGs and business. For our recent Central Asia Exec MBA programme, we will deploy tools that will enhance student experience, learning, and experimentation and cater to different learning styles. We are also launching a modular programme series of AI in business for the Leaders in Innovation Fellowships programme in April 2025. Read more on our programmes here


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