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Chapter 8: The KM Toolkit | 69<br />

Learning<br />

If there was one core competency of an organiz<strong>at</strong>ion—and the people within the organiz<strong>at</strong>ion—th<strong>at</strong><br />

could be culled out from others to ensure success, it is learning. Learning is the process<br />

th<strong>at</strong> cre<strong>at</strong>es new meaning from experience and new capabilities <strong>for</strong> action. Strangely enough,<br />

while learning is critical to the life of individuals and the utility, few people have ever focused on<br />

learning how to learn.<br />

<strong>Knowledge</strong> is the result of learning. To become a knowledge utility means to become a<br />

learning utility. To put learning in perspective, consider several closely rel<strong>at</strong>ed concepts: training,<br />

educ<strong>at</strong>ion, and wh<strong>at</strong> might be called acquiring deep knowledge. All of these are <strong>for</strong>ms of learning,<br />

each emphasizing a different goal with varying processes used <strong>for</strong> each. Training deals with developing<br />

skills and abilities th<strong>at</strong> do not require abstract concepts or a gre<strong>at</strong> deal of experience. Training<br />

usually has a narrow focus, and results th<strong>at</strong> achieve a specific capability. Educ<strong>at</strong>ion is usually<br />

thought of as a process of learning about things th<strong>at</strong> provide the learner with a broad, balanced<br />

perspective on the world and the ability to understand and deal with many areas of life. Deep learning<br />

refers to the acquisition and understanding of highly abstract and complex concepts, systems<br />

and in<strong>for</strong>m<strong>at</strong>ion. For example, a deep knowledge of calculus would be the ability to solve calculus<br />

problems which would include understanding the found<strong>at</strong>ions of the theory, its limit<strong>at</strong>ions, and<br />

domain of applic<strong>at</strong>ion. Deep knowledge is cre<strong>at</strong>ed by study, reflection, assimil<strong>at</strong>ion, practice,<br />

problem-solving, and “living with the subject.”<br />

People learn best by doing. Action learning is a task-oriented group process th<strong>at</strong> is useful<br />

<strong>for</strong> approaching narrowly focused issues. Individual learning can be facilit<strong>at</strong>ed through the use of<br />

new technologies include podcasts, Wikipedia, and a school in Second Life (see Appendix H,<br />

under Individual Learning.) Group learning approaches include retre<strong>at</strong>s, brown bag lunches,<br />

speaker series and workshops.<br />

Continuous learning (the cre<strong>at</strong>ion of new ideas) and the ability to effectively (and often<br />

quickly) act on those ideas are paramount in any organiz<strong>at</strong>ion involved in knowledge work.<br />

Continuous learning is a daily routine <strong>for</strong> knowledge workers as new challenges require new ideas,<br />

solutions and approaches.<br />

Resources Linked From the Sustaining Phase<br />

• Tools: Action Learning, After Action Reviews, Mentoring, Learning How to Learn,<br />

Storytelling<br />

• Ideas: Communic<strong>at</strong>ions Public<strong>at</strong>ions, Community Outreach, Group Learning,<br />

Individual Learning, <strong>Knowledge</strong> Sharing, Cross-utility Collabor<strong>at</strong>ion, Media<br />

Productions, Recognition and Rewards, Stakeholder Engagement<br />

• Depth Resources: Cre<strong>at</strong>ing a <strong>Knowledge</strong>-Sharing Culture (APQC report), DON<br />

Metrics Guide, Learning and <strong>Knowledge</strong> <strong>Management</strong> (MQI paper), Regul<strong>at</strong>ory<br />

Perspectives <strong>for</strong> Drinking W<strong>at</strong>er utilities (MQI report)<br />

• White Papers: The Business Case <strong>for</strong> KM,<br />

• Project Studies 3, 4, 24<br />

• Case Examples 5, 6, 12, 14, 17, 18, 19<br />

• Case Studies: DON Case Study<br />

©2011 W<strong>at</strong>er Research Found<strong>at</strong>ion. ALL RIGHTS RESERVED.

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