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. The university tailors course content based on student progress by utilising sophisticated AI algorithms, 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 enhances the student experience and frees up staff time for more complex tasks. Similarly, ChangeSchool’s upcoming LIF webinars on AI in business programmes 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 no learner is left behind, building a proactive support and excellence culture.
Ethical use
While AI offers unparalleled benefits, ethical considerations must guide its adoption. Addressing algorithmic bias and data privacy challenges 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 to 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.