Engestrom (1999) provides a close analysis of activity theory, activity systems and expansive learning, the latter occurring when tensions in an activity system are exposed. The exposure of tensions within an activity system can lead to the system’s reconfiguration, via expansive learning.
Engestrom touches on the Marxist roots of activity theory, by affirming it ‘is based on a dialectical theory of knowledge and thinking’ (p. 378). The tensions within an existing system are the breeding ground for new forms of knowledge.
Engestrom is particularly interested in the object node in an activity system, and in the determining effects of the object node. Activity theory argues that purposeful human activities are mediated through tools (material or symbolic), but Engestrom also argues, ‘Activities are social practices oriented at objects’ (p. 380). Hence, ‘the object gains motivating force that gives shape and direction to activity. The object determines the horizon of possible actions’ (p381). The object of the activity system, therefore, shapes the parameters of the activity, as the activity is configured to attain the object (though an object and an eventual outcome need not be one and the same).
Engestrom’s analysis becomes more complex when he distinguishes objects from goals: ‘Objects are not to be confused with goals. Goals are attached to specific actions. Actions have clear points of beginning and termination and relatively short half-lives. Activity systems evolve through long historical cycles in which clear beginnings and ends are difficult to determine’ (p. 381). The essential difference appears to be one of scale; specific actions can be directed towards goals, but activity systems are more longitudinal, in the sense that, being dialectical, they exacerbate and expose tensions over time.
Building on his understanding of the importance of objects in activity systems, and on the distinction between objects and the more localised, immediate and thus more easily identifiable goals, Engestrom writes, ‘being a horizon, the object is never fully reached or conquered’ (p. 381). It appears to me that activity systems are more likely to get reconfigured under the pressure of their own internal contradictions than they are to get fully and unproblematically realised, other than in the short term context of a specific action leading to a goal. Tension between nodes appears to be the natural state of activity systems over time.
Given the focus on change over time, and the distinction between objects and goals, Engestrom draws a further distinction, between innovative learning and an expansive cycle. The former can be localised, but the latter needs a more substantial temporal frame in which to play through: ‘Miniature cycles of innovative learning should be regarded as potentially expansive. A large-scale, expansive cycle of organizational transformation always consists of small cycles of innovative learning. However, the appearance of small-scale cycles of innovative learning does not in itself guarantee that an expansive cycle is going on’ (p. 385). Hence, the localised event of innovative learning can signify the emergence of expansive learning, but need not necessarily do so. However, one form of innovative learning prompting another and another comprises the ground work and the catalyst for expansive learning.
Engestrom also constructs a similar distinction between a solution innovation and a trajectory innovation: ‘A solution innovation typically applies only to the specific case for which it was invented, whereas a trajectory innovation is aimed at becoming a more or less permanent, repeatedly used procedure. Of course, it is possible that a solution innovation is subsequently repeated consciously in similar new situations, thus becoming a trajectory innovation. Conversely, a trajectory innovation may fail to generalize beyond the first application, thus effectively becoming a one-time solution innovation’ (p. 387). Again, the essence of the distinction is between a localised event, and a bigger, structural change. However, the solution innovation can comprise a template that can be applied to solve other problems, hence establishing itself as a trajectory innovation, without having been conceived as one in the first place.
Engetsrom’s article as a whole brings additional complexity to activity theory, activity systems and expansive learning. The article argues that changes in activity systems and the emergence of expansive learning are only observable over time (typically, 2 to 3 years in research studies). However, individual innovations can develop into expansive transformations. Individual innovations, therefore, are unlikely to arise on the basis of an analysis of an activity system, and are more likely to be constructed in the face of an immediate, not recognisably structural, problem. However, localised solutions can accumulate, thus creating the conditions in which existing, structural problems are more manifest, leading to a collective desire to overhaul the existing structure, and replace it with an activity system better suited to its current context.
Reference
Engestrom, Y. (1999) ‘Innovative learning in work teams: Analyzing cycles of knowledge creation in practice,’ in Y. Engestrom, R. Miettinen and R.-L. Punamaki (eds.) Perspectives on Activity Theory,Cambridge,CambridgeUniversity Press, pp. 377-404.