Deep learning in organizations: Avoiding the illusion of knowledge through metacognition
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Transcript of Deep learning in organizations: Avoiding the illusion of knowledge through metacognition
pg. 2 Paul H. Cleverley (Robert Gordon University) 2016
Deep Learning in Organizations
Paul H. Cleverley, Robert Gordon University (January 2016)
Background
The term ‘Deep learning’ has been increasingly used recently to describe how organizations augment
their learning by applying machine learning techniques on large volumes of information (big data) to
discover patterns. Building on the 2015 article ‘emergence of the corporate brain’, this article applies
a systems thinking approach to balance the technology focus on deep learning, with one that focuses
on people, how the organization thinks deeply. The focus is on Enterprise search & discovery capability
although some concepts may be transferable to other areas.
The fields of information searching (people centric) and information retrieval (technology centric),
although porous, have begun to converge. However, there is a dearth in the research and practitioner
literature for how these two fields relate to organizational learning as applied to enterprise search &
discovery capability (Figure 1).
Figure 1 – Information searching, information retrieval and organizational learning Metacognition Socrates is cited as saying “I know that I am intelligent because I know that I know nothing”, “I cannot teach anyone anything, I can only make them think.” He recognized the importance of ‘learning how to learn’, our higher order executive processes of planning, checking and reflection – thinking about thinking. Simplifying, metacognition is both knowledge of cognition and regulation of cognition, it is the literacy of self-awareness and has been linked to increased intelligence. Metacognitive capability includes the extent to which we can ‘listen inward’ and monitor what we think (our inner voice) for the tell-tale signs of cognitive biases and closed mindedness, i.e. are the skills being applied likely to lead to a desirable outcome. Metacognition empowers us to learn, can support transformational change and the good news is that we can improve our metacognitive capabilities. The importance of metacognition is illustrated by this quote from the Carnegie Report on Educating Lawyers, “The essential goal of professional schools must be to form practitioners who are aware of what it takes to become competent in their chosen domain and to equip them with the reflective capacity and motivation to pursue genuine expertise. They must become ‘metacognitive’ about their
pg. 3 Paul H. Cleverley (Robert Gordon University) 2016
own learning.” This includes understanding the strengths and weaknesses in your own learning styles and that of your colleagues. Different levels of learning
Definitions for Learning and Organizational Learning lack consensus. They could be considered to be
a qualitative increase in information and understanding; the detection and correction of error. Trends
in teaching have seen a shift in emphasis over the past few decades from what the teacher does to
what the learner does. Three levels of learning are shown (Table 1) within the organization (modified
from Lublin 2003, Entwistle 2000, Senge 1990, Marton and Saljo 1984, Argyris and Schon 1978).
Table 1 – Levels of learning in the organization
Deep learning (similarities with double loop learning, lateral thinking & organizational metacognition)
Surface learning (similarities with single loop learning, continuous business improvement methodologies)
Strategic learning (similarities with single loop learning)
Actively seek to understand and interact with information Use evidence, inquiry through dialogue and reflection Holistic systems thinking view Notice key ideas & concepts Relate new ideas to previous knowledge and relate concepts to experiences Question norms & conclusions Motivated by interest
Passively accept information Failure to reflect, discussion dominates Reductionist narrow silo view Learn to repeat what is learnt Memorise by rote Unable to distinguish principles from examples Anxiety and Cynicism Maintain norms, daily goals Motivated by fear of failure
Knowing requirements for success i.e. personal, team, project & org. targets & KPI’s Prioritise time under overload to greatest extent. Commercially aware Ensure they have the right training and materials Strong network builders Alert to cues of management preferences Motivated by achievement
Some combination of deep learning and strategic learning has been suggested to provide both an
intelligent engagement in a subject and organizational success. Business improvement methodologies
such as Six Sigma are generally perceived by many researchers (not all) as focusing on incremental
single loop learning. Here the focus is ensuring the process functions in the most effective way (often
cost reduction based), but will not necessarily produce an alternative framework or deep learning.
Critical thinking, governance and decision making require good metacognition for good judgement.
These concepts can be applied to the enterprise where organizational learning has been shown to
improve business performance.
Metacognition in organizations
Organizational metacognition (which may be synonymous in part with deutero-learning in
organizations) is how an organization ‘learns to learn’, how it knows what it knows. It is how
organizations learn how to conduct organizational learning (such as single & double loop learning).
Metacognition in organizations enables critical thinking. It describes how organizations and teams
develop an awareness of their own thinking, where awareness of ignorance can motivate learning.
Learning what facilitates and inhibits learning enables organizations to develop new strategies to
develop their knowledge. For example, identification of a gap (figure 2) between perceived
performance (such as satisfaction) and actual performance (outcomes) creates an awareness that
pg. 4 Paul H. Cleverley (Robert Gordon University) 2016
makes the organization understand that learning needs to occur (need to bridge the gap) driving
appropriate changes to the environment and processes. Organizational metacognition is considered
a key norm to the prescriptive concept of the learning organization, its significance has been
recognized by the military, industry and disaster response amongst other areas.
Figure 2 – Awareness of a gap may avoid oblivious satisfaction & the illusion of knowledge
An organization can be obliviously satisfied due to a state of ignorance; where an illusion of knowledge
has been constructed by the organization.
Information Search & Discovery
As we become more reliant on the Internet for information, some research has shown that Internet
search (e.g. Google) has actually changed how many of us think. Instead of remembering the
information itself, we just remember where to find it. Researchers have not proposed this is
necessarily a bad thing, it may be analogous to extended group working where we know who on our
team (or in the wider organization) has the ‘knowledge’ we need. However, it has been suggested that
a downside may be decreased innovation (surface not deep learning) where some searchers may
simply use the ‘top ranked’ information and not stray from the beaten path.
An Enterprise Search Centre of Excellence within an organization can use search logs to continuously
tune the search engine ranking for typically known item (lookup) searches, in a form of single loop
learning. Poor exploratory search has been known to have caused business mistakes, missed evidence
of fraud and caused fatalities. If searchers (e.g. information professionals, scientists and engineers)
are not aware of how well they are performing exploratory search tasks (and management are not
aware either) that is an issue. If they are not aware ‘that they are not aware’ that is an even bigger
issue. This is where organizational metacognition comes in.
This brings me to some of the case study research I have been undertaking over the past few years on
enterprise search & discovery capability (primarily in the oil and gas sector) to reveal to organizations
‘how well they are doing’ a type of formative assessment. In one experiment with experienced staff,
60% expressed satisfaction at their performance of exploratory search tasks, although they only found
27% of the high value items. There was no association between self-reported search expertise (search
literacy) and how well they performed the tasks. When these assessment results were fed back to the
staff and senior management, they were surprised at their poor performance which led to an update
in their personal and organizational mental models.
pg. 5 Paul H. Cleverley (Robert Gordon University) 2016
So why do we have a situation in which experienced staff (using an established internal search tool,
conducting a familiar task) deliver such poor outcomes? The absence of effective feedback loops
perhaps caused by poor metacognition in the organization may have created the conditions for this
situation to occur. You cannot make interventions if you don’t know you need to make interventions.
My research findings have led to the development of a new theory, Relative Satisfaction Theory (RST).
This theory proposes that whilst user satisfaction may not be a good indicator of search task
performance or search literacy, the difference between user satisfactions for tasks (where tasks
represent varying levels of information overload) can provide an indication of relative task
performance and search literacy.
The research findings also appear to show a gap between latent information needs of scientists and
engineers and the way many enterprise search user interfaces are designed and deployed in
organizations. In particular is the surfacing of intriguing associations - designing for serendipity.
Dialogue - Organizational metacognitive capability
Reflective practice in organizations is the willingness to question habitual ways of thinking and acting.
Effective metacognition enables this practice. Some researchers state that “unless the team can learn,
the organization cannot learn”. How teams learn as a collective (shared or distributed meta-cognition
and socially regulated learning) may be crucial to understand how organizations learn. For the
purposes of this article, the scope of organizational metacognition covers both metacognition as
practiced by individuals (within the culture of the organization) and team metacognition.
Organizational metacognition can therefore be viewed as that which is practiced by individuals within
organizations and organizational units of different size and numbers (e.g. teams, departments and
communities). This is illustrated in Figure 3, showing both its individual and collaborative nature where
dialogue “reveals the incoherency of our thought” mitigating confusion.
Figure 3 – Organizational Metacognition (inquiry and reflective practice) at different layers in the
organization towards building a shared mental model for action
Dialogue differs from discussion. The latter is focused on presenting and defending views in order to
make decisions, whereas the former aims to explore and challenge habitual traits, possibly surfacing
a new shared view. Instead of discussing strategies, solutions, perspectives and opinions, dialogue
pg. 6 Paul H. Cleverley (Robert Gordon University) 2016
focuses on the assumptions (which are often hidden) on which they are based, applying a logical
scientific and social approach of investigation. This is a key element to the Theory of Change. In this
way through this process of collaborative inquiry, the organizational unit develops an intelligence
which is greater than the sum of its parts.
One of the themes I have observed during my action research over the past few years in the oil and
gas industry is how many meetings on ‘search & discovery’ within companies appear dominated by a
narrow focus and discussion not dialogue. Effectively surface learning. Opinions are freely given but
assumptions (on which those opinions are based) are not always made explicit. Whilst there were
plenty of good examples of deep questioning and inquiry, there were also plenty of examples of
virtually no questioning at all. The social biases of avoiding tension and rewarding consensus thinking
appear alive and well in organizations large and small (at least in the oil and gas sector). Furthermore,
‘critical thinking’ may often be conflated with the undesirable behaviour of ‘being critical’. The latter
is often backward looking motivated by emotion, the former is a reasoned logical argumentation with
a clear purpose. This may shut down dialogue and some opportunities for deep learning may be lost.
Reasons for poor organizational metacognition
A variety of factors that may lead to conditions (an organizational culture) in which poor organizational
metacognition thrive may include:
1. Lack of awareness of the impact of cognitive biases (heuristics) and flaws in reasoning
• Action biases: e.g. Overoptimistic and overconfidence bias, a person’s subjective judgements
are reliably greater than the objective accuracy of those judgements. Fallacy of centrality
(leaders overestimate the likelihood they would know about a phenomenon if it was
occurring). Immediate gratification bias (focus on short term not long term).
• Self-serving biases: Naïve realism (the belief we see reality as it really is). Leaders and staff are
motivated to deliver a favourable outcome for their department or themselves, at the
expense of the enterprise as a whole. Power structures.
• Pattern recognition biases: e.g. Give more weight to the first piece of information offered
(anchoring), bias towards recent events, familiarity and confirmation bias (seek out and cherry
pick information to confirm what we already believe).
• Status quo biases: Fear of change, support of existing systems. For example, even a new
project “The new search engine deployment is better than the old one” can fall into a status
quo bias (no need to change anything about the new deployment because it’s better than the
last one). Plato’s cave allegory.
• Social biases: e.g. Office politics, In-group bias (favour information from within the group,
dismiss information from outside the group), homophily (birds of a feather flock together),
Bandwagon/Herd mentality – tendency to go with the majority views, avoiding tension
rewards for consensus thinking (Groupthink).
• Flaws in reasoning: e.g. Use of anecdotal evidence, false premises (e.g. search & discovery is
a technology problem to be solved), false dilemmas (e.g. information should be either
manually tagged or automatically tagged (but not both) the Tyranny of the OR), Post hoc
fallacy (i.e. cause and effect are close in space and time, “I cannot find information using the
search engine, it must be the search engine that is the problem”). Self-fulfilling prophecies:
e.g. an IT manager has an assumption that the social system in the organization is unreliable,
pg. 7 Paul H. Cleverley (Robert Gordon University) 2016
the technical system is reliable. So virtually all the resources available for managing content
are put into buying and deploying new technology. When the system fails to deliver on its
promises (after little investment in the social side, so those involved in manual content
curation are unmotivated), the manager feels their view has been vindicated and justifies
investing more into technology and automation to manage content.
2. Environment of work overload, under resourced and no time to think
3. Organizational design issues
• Conflicting tasks and targets (IT functions often driven by cost, business by value creation)
• Responsibilities that focus on the part (silo thinking) not the whole in mind (systems thinking).
4. Defensive behaviours (an unwillingness to be open and share assumptions), self-justification.
5. The opinions of senior staff always treated with unequal weight, assumptions not made explicit.
6. Lack of motivation, cynicism, going through the motions
What can organizations do to mitigate these effects?
When it comes to enterprise search & discovery capability, there is some evidence that deep learning
is not occurring within many organizations. A number of tactics may mitigate these barriers:
1. Simply being mindful of these barriers may be a first step to enable an organization to improve its
metacognitive capabilities. Raising awareness of learning styles and barriers through training or
storytelling may help although it is unlikely to solve all problems such as poor leadership.
2. Conducting Formative Assessments (i.e. search tests where feedback is provided to learners and
other parts of the ‘system’ e.g. the search engine) may improve capabilities. Metacognitive prompting
& scaffolding mechanisms (e.g. After Action Reviews) have also been shown to improve team learning.
3. Adopting an experimentation mind-set may aid the sensemaking process, designing for serendipity
and proactively probing the environment gathering information rather than waiting for the
information to come to you. For example A/B testing (two versions of the same user interface with a
minor change randomly split between users) has been used by e-commerce providers for many years
to surface ‘what works best’. Perhaps assuming undesirable things are occurring (or opportunities are
being missed) that you do not know about is a useful position to take; assume ignorance is inevitable.
Summary
Factors & conditions for poor enterprise search & discovery capability may include the level of
executive support, organizational culture and amount of resources invested. It may include the
volume and type of content indexed, ranking of search results, analysis of search logs by a centre of
excellence and what user interface functionality and reasoning algorithms have been deployed. It may
include deployment technology infrastructure. It may include content management and access control
and even information searching behaviour and information literacy.
Over time however, enterprise search & discovery capability may have more to do with the capacity of
the organization for deep learning.
pg. 8 Paul H. Cleverley (Robert Gordon University) 2016
More information
A PDF of this article with references is in Slideshare http://www.slideshare.net/phcleverley/ More
information at Blog site www.paulhcleverley.com and email: [email protected].
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