Where the line gets drawn in an experiment
The most common way to separate the two is by controlling what the learner can see. In a typical comparison, one group of animals learns a task on its own—say, discovering that a particular cue signals danger—while another group learns the same thing by watching a knowledgeable companion. The first group is scored as individual learning, the second as social learning. A study on fish used exactly this setup to ask whether group size changes how well each kind of learning works, and it found that social learning efficacy did not differ between group sizes, contrary to what the researchers expected [2].
In human research, the separation is often done with computational models rather than simple observation. One recent study on advice-taking compared models that assumed people were learning from their own trial-by-trial experience against models that assumed they were learning from the advice they received, and used formal model comparison to decide which fit better [4]. That approach treats the distinction as something to be tested statistically rather than assumed from the task design.
Why the boundary is blurrier than it looks
The clean labels can hide overlap. A review of innovation and social learning in animals argues that social learning and individual learning share the same underlying psychological mechanisms, and that social learning should be understood as sitting on a continuum with asocial learning rather than as a separate faculty [3]. If that is right, then a task that looks purely individual may still draw on mechanisms that also support social learning, and vice versa.
The same review points to individual variation: animals differ in how readily they use social information, and those differences show up in both asocial and social learning tasks [3]. That matters for practice because a study that averages across individuals may be blending two different learning profiles into one score, making the group-level distinction look cleaner than the individual-level reality.
How consistently studies apply the distinction
Across the studies examined here, the distinction is applied consistently as a design choice—each one defines social and individual learning in roughly the same way and builds a comparison around it—but none of them directly tests whether that definition holds across contexts. The fish study compares the two modes but does not examine how consistently the distinction is applied elsewhere [2]. The human advice-taking study separates the two modes with model comparison but likewise does not address cross-study consistency [4].
A study on meta-control of learning strategies in uncertain environments goes further by comparing how well individual learning and two social learning strategies adapt, but its focus is on which strategy performs better, not on whether the social-versus-individual split is applied the same way from one study to the next [5]. A review of individual variation in social learning and its evolution discusses both social and individual learning but does not examine the consistency of the distinction across studies [1]. Taken together, the evidence supports the idea that the distinction is a widely used working convention rather than a settled, uniformly tested boundary.
Sources used in this answer
The evolution of individual and cultural variation in social learning
Reviews evidence for individual variation in social learning within species and its evolution along a continuum from genetic to cultural influences, without examining how consistently the social-versus-individual distinction is applied across studies.
Individual vs. social learning of predator information in fish: does group size affect learning efficacy?
Compares individual and social learning of predator information in fish and finds no difference in social learning efficacy between group sizes, contrary to predictions.
Innovation and social learning: individual variation and brain evolution
Argues that social learning and individual learning share the same underlying psychological mechanisms and that animals vary individually in social learning propensity across both asocial and social tasks.
Disentangling the contribution of individual and social learning processes in human advice-taking behavior
Uses experimental and computational model comparison to separate the contributions of individual and social learning in human advice-taking behavior.
Meta-control of social learning strategies
Compares the effectiveness of individual learning and two social learning strategies under meta-control in uncertain environments.
