The Myth of Engagement in Higher Education

Engagement has become one of the most frequently used yet least interrogated terms in higher education. It appears in course reviews, teaching frameworks, institutional strategies, and professional learning sessions. We are encouraged to design “engaging” classes, monitor student engagement, and respond when engagement appears to drop. It is presented as both a marker of quality teaching and, at times, a proxy for learning itself.

Yet for all its ubiquity, engagement is rarely defined with precision. Instead, it is often inferred from what we can easily see. From students contributing to discussion, asking questions, collaborating in groups, or responding enthusiastically to prompts. These are taken as signs of learning. Conversely, silence, stillness, or hesitation are often read as disengagement, and therefore as something to be corrected, prompted, or managed.

The issue isn’t that these visible behaviours lack meaning; they can serve as useful indicators. The real problem is that we’ve started to consider them as sufficient on their own.

Engagement vs Performance

In many classrooms, engagement is equated with activity. Students who speak often are seen as engaged, while those who contribute less are seen as disengaged. Yet this framing risks mistaking performance for learning.

A student who talks often might be engaged, but they could also be rehearsing known information, thinking aloud without deep focus, or just feeling comfortable occupying space. Whilst another student might stay silent not because they are disengaged, but because they are processing, questioning, or forming connections internally. 

Many of the most cognitively challenging moments in learning are not outwardly visible. Instead, they are slow, effortful, and often quiet. When we privilege what we can see, we begin to design for performance. Activities are structured to elicit participation, not necessarily to deepen thinking. Over time, students learn that engagement is something to demonstrate, rather than something to experience.

Attendance Matters… But It Isn’t the Same as Engagement

A related assumption underlies many institutional conversations: that if a student is present, they are engaged. Attendance data is often used as a proxy for participation, which in turn is used as a proxy for learning.

Attendance should be taken seriously for good reason. Extensive research shows a strong link between higher attendance and better academic results. Being present is important because it facilitates interaction, feedback, clarification, and shared experiences that enhance learning, especially in collaborative and practice-oriented disciplines. But presence is not the same as engagement, and engagement is not the same as learning.

A student can attend every session yet remain cognitively distant, distracted, overwhelmed, or simply going through the motions. While attendance is strongly linked to academic success, that relationship is not automatic. It is shaped by what students do with the opportunity that attendance provides. Being present creates the conditions for engagement, but it does not, in itself, ensure it.

Reframing the issue this way allows us to hold two ideas at once: that attendance is important and worth supporting, and that it is not, in itself, a sufficient indicator of meaningful learning. The question shifts from “Are students here?” to “What are students doing, thinking, and experiencing while they are here?”

 

Different Teaching Models, Different Visibility of Engagement

This tension plays out differently depending on how teaching is structured.

In intensive or block models, where learning occurs within shorter periods and longer sessions, changes in engagement, both positive and negative, are quickly noticeable. Spending more time together often fosters a desire to sustain momentum: keeping discussions active and interactions evident. In these settings, an absence of quick responses is often seen as disengagement, but these pauses might actually indicate active learning, with students contemplating, processing ideas, and working through complex concepts.

At the same time, the compressed nature of these models means that when disengagement does occur, it can be more difficult to recover from. There is less time between sessions for reflection, reset, or re-engagement. The pace can amplify both the effectiveness of design and its limitations. While students are often focused on one unit (or a small number at a time), the intensity of that focus can magnify both engagement and disengagement.

In semester or trimester-based models, the dynamics shift. Shorter, spaced sessions reduce the immediate pressure for continuous, visible engagement within a single class. However, this spacing introduces a different challenge. Students are typically balancing multiple units simultaneously, dividing their attention, time, and cognitive energy across competing demands. Longer gaps between sessions can make it easier for students to drift. This can result in what appears to be engagement in one class not carrying through to the next. Disengagement develops more gradually, is less visible, and is often harder to identify until it is well established.

Across both models, the underlying issue remains the same: engagement is typically judged by what is observable in the moment rather than by how students think and connect ideas over time. If learning is not always visible in real time, then observable engagement is, at best, an incomplete indicator, regardless of the delivery model. 

The risk is that we begin to prioritise what can be seen over what actually matters. In doing so, we can drift toward an overproduction of activity. Forcing more discussion, more tasks, and more interaction, without necessarily creating space for deeper thinking. The challenge lies in balancing active participation with time for students to process, reflect, and make meaningful connections.

The question, then, is not which model is better, but how each one shapes what we notice, what we value, and how we interpret engagement.

Online, Self-Paced, and the Redefinition of Engagement

The challenge becomes even more complex when we move beyond the physical classroom.

In online and self-paced environments, many of the traditional markers of engagement disappear. There are no visible cues of participation, no immediate responses, and no shared physical space. Instead, engagement is often measured by proxies such as logins, clicks, time spent on a page, or activity completions.

But do these metrics tell us anything meaningful about learning?

A student might log in frequently without engaging deeply with the material. Another might spend significant time thinking offline, returning only occasionally to submit work. In self-paced contexts, engagement becomes less about observable behaviour and more about the evolving relationship between the student and the material over time.

This raises important questions about how we define and measure engagement. If we rely on easily quantifiable data, we risk reducing engagement to interaction with a platform rather than interaction with ideas.

At the same time, online environments also make visible what is often hidden in face-to-face teaching: the extent to which learning is self-directed. Without the structure of scheduled sessions, students must manage their own time, motivation, and focus. In this context, engagement becomes less about participation and more about persistence, discipline, and the ability to sustain attention.

Engagement as Cognition, Not Just Activity

A useful shift is to distinguish between engagement as activity and engagement as cognition.

Engagement as activity is what we can see: talking, writing, contributing, responding, logging in. Engagement as cognition is what we cannot easily see: making sense of ideas, connecting concepts, questioning assumptions, and integrating new knowledge with existing understanding.

Both matter, but they are not the same.

Conflating these aspects can lead us to create learning experiences that seem effective but may not truly be so. It also risks favouring certain students, such as those who are confident in speaking, quick to respond, or comfortable engaging, while ignoring others whose learning is less apparent.

This distinction also invites us to reconsider the role of silence. In many classrooms, silence is treated as a gap to be filled. Yet silence can signal thinking, uncertainty, or the need for more time. It can be a space where students begin to form ideas before articulating them. In both face-to-face and online contexts, these quieter moments are often where deeper learning begins.

Rethinking What We Design For

Reframing engagement does not mean abandoning active learning or lowering expectations. It means becoming more intentional about what we are trying to achieve.

It may involve building in deliberate pauses, allowing longer wait times after questions, or designing activities that prioritise thinking before sharing. It may also involve making the learning process more explicit, helping students understand that not all engagement is visible and that moments of uncertainty or quiet reflection are not signs of failure.

For educators, this requires a degree of discomfort. It means letting go of some of the immediate feedback we rely on in the classroom. It also means accepting that a session that feels less energetic on the surface may, in fact, be more cognitively demanding. It further means trusting that learning is happening, even when it is not immediately apparent.

Ultimately, the question is not whether students are engaged, but what we mean when we say they are.

If engagement is reduced to what we can see, count, or perceive from data points, we risk designing for performance rather than for learning. If, however, we expand our understanding to include the less visible, more complex dimensions of cognition, we open space for richer, more meaningful educational experiences.

Perhaps the challenge is not to increase engagement, but to rethink it.

Reflection Questions

  1. When you think about “engagement” in your teaching, what specific behaviours or data points do you use as indicators, and why?
  2. To what extent do you equate attendance with engagement, and how might this shape your expectations of students?
  3. How does your definition of engagement change (or need to change) in online or self-paced environments?
  4. Where in your teaching do you allow space for thinking, silence, or uncertainty, and where do you tend to fill it?
  5. Are your learning activities designed to generate participation or to deepen thinking, and how would you know the difference?

Leave a Reply

Your email address will not be published. Required fields are marked *