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Novice to Expert Theory

Novice to Expert Theory

Novice to Expert Theory

June Kaminski, RN MSN PhD(c)
June Kaminski, RN MSN PhD(c)
on behalf of Nursing Informatics Learning Center

$20.00 $ 20.00 $ 20.00

$20.00 $ 20.00 $ 20.00

$ 20.00 $ 20.00 $ 20.00
$ 20.00 $ 20.00 $ 20.00
Normal Price: $20.00 $20.00

Review:

Launch date: 23 Jan 2018
Expiry Date:

Last updated: 23 Aug 2018

Reference: 186166

This course is no longer available

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Course Availability

This course is only available to trainees days after purchase. It would need to be repurchased by the trainee if not completed in the allotted time period. This course is no longer available. You will need to repurchase if you wish to take the course again.

Description

This 1 module (3 CE credit) course introduces nurses to the Novice to Expert Theory, (a construct theory first proposed by sibling researchers, Hubert and Stuart Dreyfus (1980) as the Dreyfus Model of Skill Acquisition, and later applied and modified to nursing by Patricia Benner in 1984) provides a very useful and important theory that clearly applies to nursing informatics. In fact, the Dreyfus brothers developed the model while working with artificial intelligence development and expert computer system programming.

The Novice to Expert Theory (a construct theory first proposed by sibling researchers, Hubert and Stuart Dreyfus in 1980 as the Dreyfus Model of Skill Acquisition, and later applied and modified to nursing by Patricia Benner in 1984) provides a very useful and important theory that clearly applies to nursing informatics, and to all nursing practice and education.

In fact, the Dreyfus brothers developed the model while working with artificial intelligence development and expert computer system programming.

Objectives

This course gives the learner the opportunity to:
1. Identify the characteristics of the five levels of development in the Novice to Expert theory as applied by Benner.

2. Recognize the suitability and application of the Novice to Expert theory in the field of nursing informatics specialization.

3. Describe the characteristics and factors that ensure successful evolution from the novice to expert level.

4. Transpose the Novice to Expert theory to their own development within nursing and nursing informatics.
June Kaminski, RN MSN PhD(c)

Author Information Play Video Bio

June Kaminski, RN MSN PhD(c)
on behalf of Nursing Informatics Learning Center

June received her BSN and MSN from the University of British Columbia. She is currently completing her PhD in the Faculty of Education, Curriculum and Pedagogy Studies with a focus on e-learning, and nursing informatics in education. June has served as nursing faculty at Kwantlen Polytechnic University since 1989, and is currently Curriculum Coordinator and Faculty for the BSN Advanced Entry Program. She is also a part time Research Coordinator for Arthritis Research Canada working with First Nations communities to promote Arthritis wellness.

June is the Past President and Treasurer of the Canadian Nurses for Health and the Environment, an associate group of the Canadian Nurses Association. She is also very dedicated to supporting Self Governance in First Nations, Inuit, and Metis health and education and supports this through various sites, including First Nations Pedagogy, First Nations Healing and First Nations Pedagogy Online.

June is Editor in Chief of the Canadian Journal of Nursing Informatics, and Editor in Chief for the Online Journal of Nursing Informatics. June offers resources and courses in Nursing informatics from her site, Nursing Informatics Learning Center.

In 2012, June was honored to receive the Canadian Association of Schools of Nursing (CASN) and Canada Health Infoway's inaugural Nursing Faculty E-Health Award 2012 in Ottawa Canada. As well, June was the 2016 Winner of the KPU Distinguished Teaching Award from Kwantlen Polytechnic University.

Current Accreditations

This course has been certified by or provided by the following Certified Organization/s:

  • California Board of Registered Nursing (CBRN)
  • 3.00 Hours

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