Dr. T. Love
Edith Cowan University, Perth, Western Australia
This paper challenges the use of the concepts of ‘reflective practice’ and ‘learning cycles’ as a basis for analysing designing, for building coherent theories about human designing and for developing design methodologies. It develops the argument via two paths: a review of the original formulation of the concepts of ‘reflective practice/practitioners’ and ‘learning cycles’; and an analysis of the implications of recent findings in the areas of brain and neurology research for building theories about designing. The paper suggests researchers have over extended the use of the reflective practice and learning cycle concepts: concepts that were devised as relatively coarse structural formulations bringing together some of the more obvious macroscopic characteristics of individual human functioning for business consultants and educators. It argues that new micro-level understandings of design cognition emerging from brain and neurological research offer a better basis for building theories about designing.
In the design research literature, concepts of reflective practice and its close associate ‘learning cycles’ have been widely used as the basis for building design theories (see, for example, Craig & Zimring, 2000; Dorst & Cross, 2000; Dorst & Dijkhuis, 1995; D A Schon, 1992; D A Schon & G, 1992; Stumpf & McDonnell, 2002; Valkenburg & Dorst, 1998). This paper asks whether these concepts are epistemologically and practically sufficient as structural foundation for developing design theories that provide full explanations of the human activity of designing and how humans interact with designed objects. It argues that the theoretical foundations of design research reach much deeper, and that the concepts of ‘reflective practice’ and ‘learning’ cycles’ are in fact peripheral, and relatively superficial, models. The paper suggests that models of reflective practice, learning theories and learning styles essentially model the external phenomena only and are thus not epistemologically well aligned in purpose with modeling an activity such as designing that is intrinsically an internal human process. It suggests that the justifiable use of these concepts of experiential learning does not extend beyond their roles as aids to developing educational programs, as accessible constructs for students of design practice and design management, and presentation aids for consultants involved in improving design management.
Brain research is now offering direct insight into the actual internal human processes of designing. This is a significant change in the design research field. Until recently, design theory making has been severely limited because research-based understanding of core aspects of human activities in designing could only be inferred by observations of external behaviours of designers and externally observable phenomena. The consequence has been that theory making efforts have been deflected into building theories about designing in terms of the structure and sequencing of externally observable activities; the properties of objects (forms); information used by or transferred between those involved in designing; models of social interactions; and human cognition, itself described in terms of these factors. What has been neglected is the essential core of the field: the human internal processes of designing, i.e. how humans design.
Trying to model the human activities of designing is difficult: the human processes are complex. Attempting to take theoretical shortcuts to avoid this complexity by focusing only on superficially accessible information about the external attributes of the phenomena and the human behaviours raises similar epistemological and practical problems as trying to infer the internal electronic circuits and software code of a calculator by observing the contents of is display, or trying to infer the program code of a word processor from the content of documents that have been produced using it.
The paper has five parts. In the next (second) section, the reflective practitioner, learning cycle and learning style models are briefly reviewed. In the third section, research findings about the key roles that feelings play in cognition and hence designing are outlined in terms of new findings about the physiological mechanisms by which feelings, emotions, cognition and actions are actualized. In the fourth section, the issues raised in sections two and three are discussed in terms of the construction of sound foundations for design theories. In the final section, the conclusion, a new structure is outlined that repositions the reflective practitioner and learning cycle/style models in design theory, design research and design education.
Schon’s theories of reflective practice, reflective practitioner, and reflection in action originate in his research into experiential learning and experience-based action undertaken in the 1970s with Chris Argyris (see, for example, Argyris & Schon, 1978, 1974; D A Schon, 1983; Donald A. Schon, 1973). The primary purpose of this research into individual and organisational learning was the aim of improving the effectiveness of managers and consultants offering services to increase organizations’ performance The theory base of action/experiential learning/ reflective practice goes back, however, at least to Dewey’s (1933) work on experiential learning.
Schon (1987) focused on two kinds of practical reflection: ‘reflection-in-action’, in which the reflection is undertaken during a task; and ‘reflection-on-action, in which the reflection is done away from the task. Schon differentiated between:
· Espoused theories – the theories that people say underpin why they do things
· Theories in action – the theories that actually underpin why people do things
· Reflection – theory that gives feedback into either theory and experience
In exploring the theory aspects of how people best gained from their experiences, Schon focused on five processes:
· Undertaking an action
· Reflections on experience of that action
· Using a theory
· Reflections on using that theory
· Reflections on the idea of reflecting about a theory of e.g. action (meta-theoretical reflection)
Kolb and Fry developed an alternative approach to experiential learning in the mid-1970s (Kolb, 1975). From this research, and that undertaken earlier by Lewin (e.g. Lewin & Cartwright, 1952; Lewin & Lewin, 1973), emerged the Kolbian learning cycle of ‘concrete experience’ > ‘observation and reflection’ > ‘forming abstract concepts’ > ‘testing these abstract concepts in new situations’> ‘more concrete experience’ etc. As Ekpenyong (1999) inferred, this can be seen as an unpacking of the simple behaviourist stimulus-response (S-R) theory to provide room for a theory of learning. The experience of Kolb and other educators and consultants in applying the learning cycle in educational and consultancy situations indicated that individuals performed better and were more enthusiastic about some parts of the learning cycle than others. This pointed to potential benefits from categorising individuals in terms of learning styles predicated on their preferred part of the cycle. These he called Convergers, Divergers, Assimilators, and Accomodators (D. A. Kolb, 1985, pp. 61-95). Kolb’s learning styles sit between axes on the learning cycle. Alternative learning style categories by Honey and Mumford(1982) (Activists, Reflectors, Pragmatists and Theorisers) locate learning styles on the cycle axes. Like the Myers-Briggs and personality types, the cultural roots of Kolb’s (and presumably Honey and Mumford’s) ideas on learning styles were Jung’s personality types (D. A. a. F. Kolb, R, 1985, p. 78).
These theories about reflective practice, learning cycle and learning styles are grounded in observation of the behaviour of individuals, groups and larger organisational arrangements. These observations were made and theories developed alongside a conceptual backdrop of models and theories from education and psychology. The discourse within the material indicates that the development of these theories is marked by four significant, but often tacit, factors:
· Theory is built on a stimulus - response focus on observable behaviour rather than an understanding of causal mechanisms.
· Theories tacitly assume and presume models of internal human functioning such as cognition. Where explicit these are also predicated on observation of external responses rather than knowledge of internal processes.
· Epistemology of new theories, and new theories themselves, drawn relatively uncritically from fields of Psychology and Education.
· Theories built on simple mathematical relationship models, e.g. linear relationship, feedback relationship, circular relationship, oscillatory relationship.
Theories of affective cognition models the ways that feelings, body states, conscious and subconscious thoughts, attention and memory processes influence, or ‘cue’, the formation of new thoughts and the processes of successive thought development and management (see, for example, Bastick, 1982; Damasio, 1994; Love, 2000; Mosca, 2000; Ridley, 2002).
Unlike the above simple models of reflection in action, reflection, learning cycles, and learning strategies and styles, a physiological understanding of how humans design is complex. The complexity is not born of obscure medical and biological concepts: it is that the processes that go on inside humans brains, neurological, hormonal, visceral and other physiological systems are intrinsically much more complicated, even when the description is limited to understanding them in terms of the embodied information flows. For example, viewing brain and body processes at a general level, Damasio (1994, pp. 127-164) describes more than a dozen different neurological and hormonal pathways and at least ten feedback systems involved in an individual’s perception of an emotion (not including the cognitive processes such as visualising, bringing out memories, judging, creating new thoughts, or deciding on actions).
When designing, designers convert problem statements into internal problem gestalts and draw on their experiences, bodily perceptions (feelings), emotions and external information to generate multiple partial solutions to these problem gestalts, compare them imagenically ‘in their mind’s eye’, and communicate these partial design solutions and their associated ‘design worlds’ to others. It is this level of analysis that is needed for design researchers to have a sound understanding of how people design, and how people understand, and learn to utilise, designed artefacts, products, services and systems. Understanding designing and creating the foundations of design theory in reality requires an understanding of the dozens of separate physiological, neurological, informatically embodied feedback systems.
In terms of physiological systems, there are several processes / responses that offer a basis for the reflective practices described by the experiential learning theories of Schon and others. Cognitive neuroscience models differentiate between two affective system pathways, one of which passes through the frontal cortex and one that does not. For those aspects of affect that pass through the frontal cortex, some may be available to conscious attention as ‘body states’, i.e. feelings or quale (John Dewey, 1895), whilst others come into consciousness as pre-conceptualised entities or cognitive artefacts (objects in the mind’s eye) realised in the imagenic aspects of the brain.
Each of these form a causal foundation for reflective or experiential learning by which the human organism responds and learns. The differences between these can be seen, for example, in the potential responses from an individual putting a finger too close to a candle flame:
In working situations, the above somato-sensory ‘reflective’ processes combine with other information-based reflective processes. Consider a situation in which a professional in their normal activity undertakes a task involving an aspect of reflection. Key elements are:
· The actuality of the task
· The gestalts and contexts within which the task is undertaken
· Their access of memories of previous similar tasks, gestalts and contexts
· Their access of memories of outcomes of those tasks and gestalts
· In some cases, their access of memories of situations and gestalts prior to undertaking those similar tasks
· Their access of memories of their reflection on the tasks, gestalts, contexts, prior considerations and outcomes
· Their access of memories of their judgement as to the quality of their reflective processes
· Their access of memories of their decisions, judgements and heuristics that they developed as a result of the prior reflective processes
· Their analysis of differentiating factors
· Their judgement processes that support the professional choices they make in identifying guidance form these past analyses that influence current behaviour
· Their access of memories of the reflection and reflection processes
For each of these information processes, one or more of the four responses in the previous list may apply. The combination indicates the number of aspects of a simple practical reflective task that need to be included and addressed by an adequate theory of reflection.
For reflection relating to the human activity of designing the situation is considerably more complex than that described above because it also has to include a description of the ways that reflection activities influence the complex processes associated with the generation of new thoughts: including the simultaneous (or almost so) processing of technical, social, environmental, ethical and aesthetical information with all its necessary reflection and brain-body/feeling-thought processes. In addition, alongside these issues must also be added the processes and physiological pathways associated with designers’ communication of their partially conceived problem statements, ‘design worlds’, gestalts, partially completed solutions, and the relative evaluation of those solutions between designers and other stakeholders. Together, they indicate that a reflective practice model that satisfactorily explains sufficient of the real human processes to provide a full explanation and model for improving the outcomes of design activities is considerably more complex than ‘reflection’ theories based on external observations of individuals’ behaviour.
The development of coherent design theories requires they are grounded on epistemologically sound foundations capable of supporting required analyses. All forms of theory about designing explicitly, or tacitly, assume and presume particular underlying theories of human functioning. Theories derived from the external characteristics of objects, here including human behaviour, cannot, by their nature, definitively explain or model the internal workings of the objects or, in this case, the internal human processes. The layered nature of theories; in which individual theories provide assumptions for less abstract theories and depend on more abstract theories; means it is not possible for theories that depend on or presume an internal human mechanism of designing to explain that mechanism.
Four core issues that a body of theory about designing and designs must address are:
The sketches in the preceding section also point to a more complex view of learning and reflection processes than that described in the reflective practice and learning cycle/style literatures. Human activity at an individual and social level is more complex than the reflective practice/ reflection in action and learning cycle/style models indicate. Schon’s theories of reflection, action and practice, Kolb’s learning cycle and the learning styles of Kolb, Honey and Mumford have major limitations as foundations for building design theories because of their grounding in external observation of practice, rather than an understanding of what happens inside humans whilst they are involved in designing. They are unsuited to being foundational to theorising about designing because do not provide the data or theoretical means to infer and model deeper underlying processes of human functioning by observing the superficialities of behaviour and practice. This is a limitation that Schon was well aware of from early on (D. A. Schon, 1987). He identified that what was really needed was a model of human cognition derived directly from an understanding of human cognitive processes and not based on observing behaviour. One way of seeing Schon’s theories of reflective behaviour is that they are an approach that aims to make the best of a difficult situation limited by the lack of information about human internal processes, and an attempt to maximise the theory making potential available from external observations and individuals’ subjective perceptions of their own thoughts, experiences and feelings.
Another way of viewing this situation is in terms of theorising about the internal functioning of a ‘black box’: an approach widely used in systems analyses. (A ‘black box’ being one that nothing is known about its internal functioning. A ‘white box’ is one in which everything is known about its internal processes. A ‘grey box’ is somewhere in between.). The models of Schon, Kolb, and Honey and Mumford regard humans as a ‘black box’ and do not look inside the box. Their theories model the relationships between humans’ inputs and outcomes rather than trying to understand the feelings and thoughts and internal human processes that are the causal basis of the humans’ ‘outputs’. In epistemological terms, these are theories about the behaviour of objects rather than theories that explain why human behaviour occurs. The use of ‘black box’ systems theories as tools for developing predictive and explanatory models is however always limited by lack of knowledge about the processes inside the ‘black box’. The data about inputs and outputs that is collected, by its nature, cannot be used to formulate theories about why the behaviour occurs or why and how the underling processes and mechanisms are likely to produce other sorts of outcomes. In essence, the theories are at the level of explanations such as ‘pressing harder on the brake results in the vehicle decelerating more’ rather than an explanation of how the brake system works and why pressing on the brake pedal will result in the changes to the vehicle’s acceleration.
The essential foundational aspect of designing, the creation of new thoughts, the management of gestalts, the communication of partially completed design possibilities between designers and other stakeholders in design processes, the interpretations and understanding of function embedded in designed artefacts, systems and services all depend on underlying human embodied processes. These can only adequately be explained in terms of the physicality of human processes, i.e. the moment – by-moment, conscious and unconscious events and processes that result in doing and not doing particular activities, thinking and not thinking particular thoughts.
The above analysis also points to the weakness and, at this point, failure of traditional rationalist theories of cognitive science in explaining human designing and the ways that humans interact with actualised designs. Epistemologically, practically and pragmatically, the only ways to establishes sound foundations for building theory about how human beings undertake designing, and how they interact with designed products, systems and services is to focus on the internal processes revealed in the physiology of real humans.
As a postscript to this discussion, it is necessary to acknowledge that theories about reflective practice, learning cycles and learning styles have been attractive to design educators and practitioners. In most cases, it appears that the reasons are because they offer political benefits rather than because they provide sound theory foundations. The most obvious benefits are that they align well with ideas that:
· Design learning as a master/apprentice relationship
·
· Design critique and evaluation should be based on designers ‘explaining’ their designs or that designs should ‘explain’ themselves
· Experiential learning supports arguments that design education should be based on craft skills training modalities.
· The learning cycle, echoes simple models of design process in which a practical design problem is explored, some ideas for solutions are conceived, these ideas are investigated and tested, and eventually a plan is chosen or confirmed as a new idea/design.
· The segregation of professional expertise into categories indicates that designers are a unique breed. The learning style divisions fit well with customary biases that designers must by nature be divergent and free thinking, whereas theoreticians are assimilators building models of things, engineers and scientists are convergent appliers of models, and professionals such as managers and manufacturers work with models in concrete, real environments.
If uncritically viewed, the learning cycle also provides justification for a description of designing in which the designer/ practitioner starts off from a concrete situation, reflects on the situation, and as a result of that reflection, produces ideas, and then experiments with them to create new knowledge: a description that can be interpreted to imply that design practice should be viewed as identical to research.
Building sound underlying theories about the activities of designing and the ways that humans use of designed outcomes requires a different and more fundamental approach than that available through theories of organisational and action learning such as the theories of reflective practice, learning cycles, and learning styles described earlier.
The development of foundation theories in the areas of designing and the use of designed products services and systems must go deeper than theories about individual’s reflective practices, sequences of learning, or simple categories of learning styles, In epistemological terms, These latter models lie alongside design theories rather that offer foundations for them. Theories based directly on the underlying human physiological mechanisms of designing, and the embodied mechanisms that underpin how individuals interact with designed products, services and systems and other aspects of their external environment offer a sounder foundation for a body of knowledge on designing and designs. This has not yet been adequately developed in the design research field.
At a pragmatic level, contemporary brain research is beginning to offer simple heuristics on which to build higher-level design theories. Evidence is emerging that supports some socio-psychological theories such as the role of attention in Constituent Market Orientation theories, and points to weaknesses in others as described above. It also offers direct causal explanations (Damasio, 1994) for anecdotal concepts such as:
In summary, theories of organisational psychology and experiential learning (such as reflective practice, learning cycles and learning styles) offer consultants and managers models that indicate that if certain things are done then certain consequences are likely to result. For educationalists, they indicate that some educational approaches are more likely to be effective than others in specific situations when assessed against particular criteria. For those involved in managing organisational learning processes in commercial organisations, they offer both. Their use as theory foundations is, however, epistemologically unjustified.
For design researchers wishing to build theory on sound foundations, the human physiological mechanisms that underpin human creative thinking, feeling, values, judgement, decision-making and motivation are more appropriate
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