Adaptive Learning Interfaces

AI productivity tools are most useful when they support human judgment, reduce cognitive friction, and fit naturally into real workflows. My interest is in designing and evaluating AI systems that help people move from information to action without losing agency, context, or quality.

Profiling Students
for Adaptive Social Comparison

Students constantly receive signals about how they are doing. A grade shows whether they passed. A progress bar shows how much work they have completed. A class average tells them how they compare with everyone else. That final signal may appear simple, but it can change the meaning of all the others.

Imagine that you have completed 60% of a course while the class average is 80%. You might treat the gap as a challenge and work harder. You might conclude that you are falling too far behind and disengage. You might also ignore the comparison because your goal is simply to understand the material at your own pace.

The information is identical. The response is not.

HIGHLIGHT

This work was presented at the 2026 User Modeling, Adaptation and Personalization (UMAP) conference in Gotherburg, Sweden.

Problem

Educational platforms increasingly use class averages, rankings, leaderboards and peer-progress indicators to motivate students. These features are often added as though comparison were a neutral piece of information. My research examines why that assumption is unreliable. The work is governed by this question: For whom does comparison work, and in what form does it work?

The same feedback affects students differently

Social comparison means evaluating our own ability, progress or performance in relation to other people. It is a normal part of human behaviour. We use others to understand whether we are doing well, falling behind or improving at an expected pace.

My review of previous research found that educational comparison appears in several forms, including leaderboards, comparative dashboards, peer-activity displays and direct messages about other students. Across these designs, the reported effects on motivation, engagement and learning were inconsistent.

The inconsistency repeatedly pointed to three sources of variation:

  • the learner, including their goals and competitive tendencies;

  • the design, including privacy, visibility and the chosen comparison target;

  • the situation, including the learner’s current performance and whether the benchmark appears attainable.

Three categories of students

The research identified three broad learner profiles that are practical patterns that summarize how students may relate to comparative feedback.

The Competitive learner

Competitive learners are strongly interested in performing well relative to others and are willing to engage with competition. For them, comparison can establish a target worth pursuing. A class average may sometimes be too comfortable. Once these students see that they have reached it, they may decide that their effort is sufficient. A higher but attainable benchmark can instead preserve the sense of challenge.

Potential design: show progress relative to a stronger-performing group.

The Vulnerable learner

Vulnerable learners are also sensitive to how they perform relative to others, but they do not experience competition as positively. Comparative information is therefore relevant to them, yet may also create pressure or threat. Showing that stronger peers are far ahead can reinforce a sense of inadequacy rather than provide direction. A safer reference point may help protect confidence and sustain participation, although it must not be so low that it removes the need to improve.

Potential design: use reassuring or carefully framed comparison and avoid threatening benchmarks.

The Independent learner

Independent learners are less concerned with demonstrating competence relative to others. They may focus more strongly on understanding the material, reaching a personal goal or improving their previous performance. For these students, social information may contribute little. It can even distract from a more useful self-referenced question: Am I making progress?

Potential design: remove peer comparison and emphasize personal progress or mastery.

Design Principles

Protect privacy. Students may want to know where they stand without having their own performance exposed.

Adapt the reference point. A higher, lower or similar benchmark can communicate very different messages.

Allow comparison to disappear. More information is not always more useful.

Evaluate behaviour, not preference alone. What students choose or say they like may not be what best supports their learning.

Conclusion

Social comparison should therefore not be treated as a decorative dashboard feature or a universal source of motivation. It is a psychologically meaningful intervention. Designing it responsibly requires attention not only to the information being displayed, but also to the person interpreting it.