Thursday, 10 February 2011

KnowledgeSmart user group meeting

We're organising our next user group meeting in London next month.

Here are the details:

Date: Tuesday 15 March
Time: 9am – 1pm (working lunch included)
Venue: Stirling Room, RIBA, 66 Portland Place, London
Cost: Free of charge

Places are filling up rapidly - and we always end up with a waiting list for these sessions - so if you'd like to come along, you'll need to let us know in the next few days.

We have room for about 30 people in total and, as of this afternoon, we have 10 places remaining.

The agenda on the day will be pretty flexible, with plenty of scope for open discussion. From our end, the main talking points will be:

KS system tools update – what’s new?
KS wish list – tell us what else you’d like to see in the next 3-6 months..
Training links – marrying the KS training outputs with appropriate learning material
The impact of BIM on technical software in AEC firms
A closer look at testing Revit and Civil 3D skills
Writing your own assessment material – do’s and don’t’s

Plus whatever else comes up in open debate!

Hope to see you there!

R

Thursday, 3 February 2011

Assessing Revit skills



We have a rolling program of new test content creation; our aim is to double the size of the KS library this year, depending on how things go, economically speaking. So far, so good in 2011.

It will come as no great surprise to learn that Revit tops the list of customer requests, so we have a few ideas for new content coming up in the next 3-6 months.

That's not to say the existing Revit test library material isn't looking good already! We have some excellent RAC questions, authored by leading Revit protagonists Paul Aubin, Paul Woddy and Chris Senior. We have a comprehensive RST library, written in partnership with Thomas Weir. And our RMEP modules are coming along nicely, too, with the help of US based author, Tony Tedder.

It's just that people want more! We're happy to comply, so here's what we have in mind..

Revit Families - a module which looks specifically at creation of Revit families. We'll probably split this into 2 sections; one for general families and one for discipline specific content.

Revit process - a module covering the practical aspects of using Revit on a project and the impact of working in a team environment.

RAC 2012 - more basic test content for Revit Architecture 2012, linking to corresponding training courseware from authors White Frog.

RMEP 2012 - more basic test content for Revit MEP 2012, linking to corresponding training courseware from authors White Frog.

RST 2012 - more basic test content for Revit Structure 2012, linking to corresponding training courseware from authors White Frog.

Timescales are not set in stone, but work is underway on the families and process modules. We'll start the new 2012 modules in March, once the code for the new releases from Autodesk is more or less frozen! We're aiming to have much of the new library material in place by the Summer.

Last, we have some intermediate level material planned for all 3 disciplines, during the Summer/Fall period.

R

Assessing AutoCAD Civil 3D skills



Another new addition to the KS test library went live this week - AutoCAD Civil 3D 2011, module 1.

Now I'm not a believer that you can reliably create a 'general' Civil 3D test, so we're taking a slightly different approach with this one.

Because the KS tools offer AEC firms a tremendous amount of flexibility, in the way they can customise test content, we are giving firms the final say on what modules their version of the C3D test will contain. The daisy-chain feature, which allows admins to link a series of individual modules together to form a longer test, means that firms can mix & match the C3D content in a wide variety of ways.

So how are we approaching this task? Well, first, we're working with leading C3D author, Eric Chappell, to create 4 overall test modules, covering a range of C3D tools and commands. Each module will contain c.25 test questions, with the usual mix of task-based and knowledge-based exercises.

These are the main topics, which will be covered across the 4 modules:

  • Surfaces
  • Alignments
  • Profiles
  • Points
  • Sections & quantity take offs
  • Assemblies & Subassemblies
  • Corridors & intersections
  • Parcels
  • Grading
  • Pipes & pipe networks
  • Plan production
  • Data exchange
  • Rendering
  • Survey
  • Hydraflow


Module 1 is now available, covering Profiles, Alignments and Surfaces. Work has already begun on module 2, which will be finished in March. Module 3 will follow in April/May. The last module will be written in the summer; we'll review progress to date at that point and take feedback on any remaining features which haven't been addressed in modules 1-3.

Enterprise customers will see the new C3D content appear in their accounts this week. As always, we welcome your feedback on the material and also any topics you'd like to see covered, which are not mentioned in the summary list above.

R

Tuesday, 14 December 2010

SECI Model for Organizational Learning

How does an organization learn?

In 1995, Professors Nonaka & Takeuchi (at Hitotsubashi University, Tokyo) developed a four stage spiral model of organizational learning.

SECI:
  • Socialization
  • Externalization
  • Combination
  • Internalization

Tacit knowledge is personal, context specific, subjective knowledge, whereas explicit knowledge is codified, systematic, formal, and easy to communicate. The tacit knowledge of key personnel within an organization can be made explicit, codified in manuals, and incorporated into new systems and processes. This process is called "externalization".

The reverse process (from explicit to implicit) is called "internalization" because it involves employees internalizing an organization's formal rules, procedures, standards and other forms of explicit knowledge.

“Socialization" denotes the sharing of tacit knowledge and the term "combination" denotes the dissemination of codified knowledge.

According to Nonaka & Takeuchi, knowledge creation and organizational learning take a path of socialization, externalization, combination, internalization, socialization, externalization, combination . . . and so on, in an infinite spiral.

R

So what exactly is an 'expert'?

The term 'expert' is defined as 'somebody with a great deal of knowledge about, or skill, training, or experience in, a particular field or activity'.

In CAD & BIM circles, the label AutoCAD 'expert', Revit 'expert', MicroStation 'guru', and so on, are used pretty liberally. In some cases, the monicker is perfectly justified. In others, however...

It's often interesting to capture a user's perception of how good they think they are at a particular software app, prior to them taking a skills assessment. We like to ask the following question:

Please rate yourself on your ability to use the software, for which you are about to take a test, on a scale of 1 to 5:

1 = Very basic knowledge; not enough to work confidently on a project
2 = Basic knowledge; can get by working on a project but could do better
3 = Good knowledge; can produce a good standard of work on projects
4 = Advanced knowledge; can teach the basics to others
5 = Expert knowledge; can perform and teach others at an advanced level


Interestingly, we are mirroring a recognised format for gauging skills measurement. In the fields of education and operations research, the Dreyfus model of skill acquisition is a model of how students acquire skills through formal instruction. Brothers Stuart and Hubert Dreyfus proposed the model in 1980 in an influential report on their research at the University of California, Berkeley, Operations Research Center for the United States Air Force Office of Scientific Research.

The model proposes that a student passes through five distinct stages; novice, advanced beginner, competent, proficient and expert.

1. Novice
• "rigid adherence to taught rules or plans"
• no exercise of "discretionary judgment"

2. Advanced beginner
• limited "situational perception"
• all aspects of work treated separately with equal importance

3. Competent
• "coping with crowdedness" (multiple activities, accumulation of information)
• some perception of actions in relation to goals
• deliberate planning
• formulates routines

4. Proficient
• holistic view of situation
• prioritizes importance of aspects
• "perceives deviations from the normal pattern"
• employs maxims for guidance, with meanings that adapt to the situation at hand

5. Expert
• transcends reliance on rules, guidelines, and maxims
• "intuitive grasp of situations based on deep, tacit understanding"
• has "vision of what is possible"
• uses "analytical approaches" in new situations or in case of problems


In the worlds of music and dance, becoming an expert requires an investment of approximately 10,000 hours in practice and execution!

Consider how this breaks down:

Hours per week Hours per year Years to achieve 'expert'

4 200 50
8 400 25
12 600 16.7
16 800 12.5
20 1,000 10
24 1,200 8.3


So the next time someone professes to be an expert, ask yourself, is that what they really mean?

R

KnowledgeSmart wish list

We've been holding a series of web review meetings with customers in recent weeks, discussing how their assessment programs are coming along, and what tools they would like to see next in the KS admin dashboard.

Here are the most requested items, the majority of which will feature in the next point release (scheduled for Feb 2011);
  • More charting; would like an easier way to tell (at a glance) what the main problem areas/training topics are
  • Would like to see industry comparisons for most popular test scores
  • Want to display more results per page
  • Would like ability to invite interview candidates more easily
  • Would like to control level of test report feedback for interview candidates
  • Ability to delete test scores
  • View results for linked accounts
  • Notify admin if test expiry date passes (but test not taken)
  • Change status of users (i.e. ex-employee, interview candidate to employee, etc.)
We'll also be adding basic branding options for firms, new chart styles in the dashboard and more content management options for test modules.

In addition, personal dashboards for users, basic survey tools, a community area for sharing test content and a new coaching mode are all coming up in the next few months.

Our rolling program of new test content authoring is ongoing. This week sees the release of our first Adobe InDesign module. More RMEP content will be out shortly, plus the first in a series of Civil 3D modules goes live in January. Intermediate RAC content, a Revit families module and basic Photoshop content will follow in early 2011.

If you have additional suggestions for new features or tools, we'd welcome your feedback.

R

Unskilled and unaware; why self-assessment is fundamentally flawed (part two)

This is part two of my case against the use of self-assessment, as a reliable means of measuring staff performance.

The Latin maxim “ignoramus et ignorabimus”, meaning "we do not know and will not know", stood for a position on the limits of scientific knowledge, in the thought of the nineteenth century.

In September 1930, mathematician David Hilbert pronounced his disagreement in a celebrated address to the Society of German Scientists and Physicians, in Königsberg;
“We must not believe those, who today, with philosophical bearing and deliberative tone, prophesy the fall of culture and accept the ignorabimus. For us there is no ignorabimus, and in my opinion none whatever in natural science. In opposition to the foolish ignorabimus our slogan shall be: We must know — we will know!”

In the late twentieth century, Ex-United States Secretary of Defense, Donald Rumsfeld, whilst defending his country's position on the Iraq war, made the following (now infamous) statement; “There are ‘known knowns’. These are things we know that we know. There are ‘known unknowns’. That is to say, there are things that we now know we don’t know. But there are also ‘unknown unknowns’. These are things we do not know we don’t know”.
There are four recognised stages of competence.

1) Unconscious Incompetence
The individual neither understands nor knows how to do something, nor recognizes the deficit, nor has a desire to address it. The person must become conscious of their incompetence before development of the new skill or learning can begin.

2) Conscious Incompetence
Though the individual does not understand or know how to do something, he or she does recognize the deficit, without yet addressing it.

3) Conscious Competence
The individual understands or knows how to do something. Demonstrating the skill or knowledge requires a great deal of consciousness or concentration.

4) Unconscious Competence
The individual has had so much practice with a skill that it becomes “second nature” and can be performed easily. He or she may or may not be able to teach it to others, depending upon how and when it was learned.


"The Invisible Gorilla" experiment is one of the most famous psychological demo's in modern history. Subjects are shown a video, about a minute long, of two teams, one in white shirts, the other in black shirts, moving around and passing basketballs to one another. They are asked to count the number of aerial and bounce passes made by the team wearing white, a seemingly simple task. Halfway through the video, a woman wearing a full-body gorilla suit walks slowly to the middle of the screen, pounds her chest, and then walks out of the frame. If you are just watching the video, it’s the most obvious thing in the world. But when asked to count the passes, about half the people miss it. It is as though the gorilla is completely invisible.
(http://www.theinvisiblegorilla.com/gorilla_experiment.html).

In his popular KM blog, Nick Milton (http://www.knoco.co.uk/Nick-Milton.htm) writes in detail about the impact of this experiment and picks up on a number of key trends discussed in the book of the same name, authored by Christopher Chabris and Daniel Simons (the guys behind the original experiment).

The subtitle of the book is "ways our intuition deceives us", and the authors talk about a number of human traits (they call them illusions) which we need to be aware of in Knowledge Management, as each of them can affect the reliability and effectiveness of Knowledge Transfer.

To paraphrase Milton, the illusions which have most impact on Knowledge Management are;

• The illusion of memory
• The illusion of confidence
• The illusion of knowledge

Our memory of events fades over time, to the point that even firm documentary evidence to the contrary doesn't change what we remember. The implication is that if you will need to re-use tacit knowledge in the future, then you can't rely on people to remember it. Even after a month, the memory will be unreliable. Details will have been added, details will have been forgotten, the facts will have been rewritten to be closer to "what feels right".

Tacit knowledge is fine for sharing knowledge on what's happening now, but for sharing knowledge with people in the future then it needs to be written down quickly while memory is still reliable.

Without a written or photographic record, the tacit memory fades quickly, often retaining enough knowledge to be dangerous, but not enough to be successful. And as the authors say, the illusion of memory can be so strong that the written on photographic record can come as a shock, and can feel wrong, even if it’s right.

Any approach that relies solely on tacit knowledge held in the human memory can therefore be very risky, thanks to the illusion of memory.

The illusion of confidence represents the way that people value knowledge from a confident person. This would be fine if confidence and knowledge go hand in hand, but in fact there is almost an inverse relationship. A lack of knowledge is, instead, allied to overconfidence. Lack of knowledge leads to confidence, which leads to you being seen as knowledgeable.

Each chess player is given a points rating based on their competition results, which is in fact a very effective and reliable measure of their ability. Yet 75% of chess players believe they are underrated, despite the evidence to the contrary. They are overconfident in their own ability.

In studies of groups of people coming together to solve a maths problem, you would expect the group to defer to the person with the greatest maths knowledge, wouldn't you? In fact, the group deferred to the most confident person, regardless of their knowledge. In trials, in 94% of the cases, the final answer given by the group is the first answer suggested, by the most confident person present, regardless if whether it is right or wrong.

In a Harvard study of confidence vs knowledge in a trivia test, they certainly saw overconfidence in individuals - people were confident of their answer 70% of the time, while being correct only 54% of the time! When people were put together in pairs, the counterintuitive outcome was that the pairs were no more successful than the individuals, but they were a lot more confident! When two low-confidence people were put together, their overall confidence increased by 11%, even though their success rate was no higher than before.

The Illusion of Knowledge is behind the way we overestimate how much we know. The authors refer to how people think they know how long a project will take, and how much it will cost, despite the fact that projects almost always overrun in both cost and time. "We all experience this sort of illusory knowledge, even for the simplest projects" they write. "We underestimate how long they will take or how much they will cost, because what seems simple and straightforward in our mind typically turns out to be more complex when our plans encounter reality. The problem is that we never take this limitation into account. Over and over, the illusion of knowledge convinces us that we have a deep understanding of what a project will entail, when all we really have is a rough and optimistic guess based on shallow familiarity"

"To avoid this illusion of knowledge, start by admitting that your personal views of how expensive and time-consuming your own seemingly unique project will be are probably wrong. If instead, you seek out similar projects that others have completed, you can use the actual time and cost of these projects to understand how long yours will take. Taking such an outside view of what we normally keep in our own minds dramatically changes how we see our plans"

If we are unaware of these 3 illusions, we can feel confident in our knowledge, based on our memories of the past, without realising that the confidence is false, the knowledge is poor, and the memories are unreliable and partially fictitious. Awareness of these illusions allows us also to challenge the individual who confidently declares "I know how to do this. I remember how we did it 5 years ago", because we recognise the shaky nature of confidence, knowledge and memory.


A natural human tendency is that we tend to think that we know more than we do and that
we are better than we are. We suffer from what psychologists call the “Lake Wobegon effect”.
Based on Garrison Keillor’s fictional town where “all the women are strong, all the men are good-looking and all the children are above average.” According to the author’s own survey, 63% of Americans consider themselves more intelligent than the average American.

In contrast, 70% of Canadians said they considered themselves smarter than the average Canadian. In a survey of engineers 42% thought their work ranked in the top 5% among their peers. A survey of college professors revealed that 94% thought they do ‘‘above average’’ work – a figure that defies mathematical plausibility! A survey of sales people found that the average self-assessment score (for sales demos) was 76%. The average % of demos that achieved
objectives (for the same group) was 57%. The list goes on..

So, in summary, any strategy for capturing user skills data, which relies solely on an individual's ability to self-rate themselves on a given subject, is simply doomed to fail. I leave the last word to David Dunning; “In essence, our incompetence masks our ability to recognize our incompetence”.

R