The answer to personalising education isn’t technological, it’s organisational

In recent years, the personalisation of education has become one of the major goals of universities. But, in practice, many initiatives remain trapped in a tools-centred logic: more platforms, more data, more functionalities. The problem is not a lack of technology, but a lack of articulation.

True personalisation does not happen in a tool. It happens in the student experience.

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Personalised learning is often associated with artificial intelligence and advanced analytics. However, the way forward for higher education is not technological, but in designing coherent and sustainable experiences that truly place the student at the heart.

This will mean going beyond isolated initiatives. Instead, we need to build models that allow students to move across different environments without losing continuity in their learning process.

The problem: fragmented experiences, disconnected students

Despite the proliferation of digital tools, many educational proposals remain fragmented. Platforms, content and methodologies coexist, but are not always designed from the student’s perspective.

From the student’s point of view, the university digital ecosystem is often inconsistent. They need to be taught to navigate each platform, and there is no continuity between courses or environments. There is plenty of information, but it does not support the student journey; and when it’s so fragmented, the experience loses pedagogical meaning. Ultimately, what should be an integrated learning path becomes, in practice, a collection of disconnected interactions.

As a result, personalisation ends up reduced to isolated initiatives, with no real impact at an institutional scale.

A shift in approach: thinking in terms of experience

Personalisation that truly scales requires a change in perspective. It is not about “what tools do I have?”, but rather “what experience does the student have?” This means designing the full journey and integrating different components into a coherent system. An effective approach combines four pillars:

• Technology: infrastructure and platforms that support the ecosystem
• Experience: a smooth, frictionless journey
• Learning experience: pedagogical design centred on real learning
• Strategy: institutional decisions and values that align everything

The challenge is not to incorporate new tools, but to ensure that everything works in an intentional way.

The key role of integration

Personalisation does not depend on adding tools, but on integrating them. When platforms are disconnected, the experience breaks, data loses context and personalisation does not scale. But when they’re integrated, the student maintains continuity, data supports their journey and the institution gains operational capacity.

But, crucially, without integration, personalisation does not scale.

The necessary balance

One of the most important challenges is managing an inevitable tension: how to offer flexible and tailored experiences for each student without losing institutional coherence.

Solving this does not depend on a tool, but on clear agreements: shared principles that guide both pedagogical design and the use of technology.

The role of data

Data is essential, but not by itself. It creates value when it helps universities to understand the student, anticipate needs and support the journey in context. The key is not merely accruing more data, but using it to improve the experience. Personalisation is no longer a technological promise. It is now an institutional capability.

Universities that succeed will not be those with the most tools, but those that best design the student experience by integrating:

Technology: not as an end in itself, but as the infrastructure that makes continuity possible across platforms, courses and learning environments. Its value lies in reducing friction, connecting systems and enabling students to move through their academic journey without having to rebuild context at every step.

Pedagogy: as the design principle that gives meaning to the experience. Personalisation creates impact only when digital environments, content, activities and support mechanisms are aligned with real learning goals and with the way students progress, struggle and engage.

Data: not simply to measure activity, but to understand the student journey in context. Data becomes valuable when it becomes information, helps anticipate needs, identifies risks, prioritises support and guides institutional decisions that improve the learning experience at scale.

Values: because personalisation must be guided by clear educational criteria, not only by efficiency or automation. Institutions need shared values that define what kind of student they want to promote to society.

Strategy: as the institutional framework that aligns decisions, investments and priorities. Without strategy, personalisation remains a set of isolated projects; with strategy, it becomes a sustainable model capable of scaling across programmes, modalities and student profiles.

The focus shifts away from the technology stack and back to the student.

Examples of practical applications in our university

1. The learning management system as a central access point

• Synchronous classes integrated with Zoom
• Help spaces embedded within the campus
• Multimodal continuity through embedded resources

2. Information for decision-making

• Student engagement dashboards
• Early detection of dropout risk and low interaction
• Prioritisation of improvements through usage metrics, content consumption and support requests

3. Profile-based onboarding

• Initial environment in Brightspace adapted to the type of programme and student needs
• Support and guidance resources available according to context and stage in the journey
• Tools and content presented based on the actual needs of each student profile

Fabián Olmos is director of education systems and technology at Universidad Austral.

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