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Nursing students learning transfer from classroom to clinical practice: An integrative review.
Nurse Education in Practice, 2023AIM The aim of this integrative review was to examine the theoretical, qualitative, quantitative and mixed-methods literature focused on how nursing students transfer learning from theory courses into clinical practice. BACKGROUND As nursing curriculum
Sandra Carless-Kane, L. Nowell
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Culture: The Link to Learning Transfer
Adults learning, 2021Organizations worldwide spend large amounts of money and resources on developing their employees, yet the money invested in professional learning (PL) yields low to moderate results at best.
Corinne Brion
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Learning Transfer: The Missing Linkage to Effective Professional Development
Journal of Cases in Educational Leadership, 2020This case study illustrates the perspectives of leaders and teachers regarding professional development and learning transfer as they relate to school improvement.
Corinne Brion
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, 2020
Partial least squares structural equation modeling (PLS-SEM) is a statistical analysis technique that has been widely adopted in marketing and strategic management disciplines, yet there is a paucity of application in language education research.
Locky Law, Natalie Fong
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Partial least squares structural equation modeling (PLS-SEM) is a statistical analysis technique that has been widely adopted in marketing and strategic management disciplines, yet there is a paucity of application in language education research.
Locky Law, Natalie Fong
semanticscholar +1 more source
Nurse Education Today, 2019
BACKGROUND Workplace learning in hospitals consists mostly of informal learning processes that take place during specific work situations. Informal learning and effective learning transfer are expected to have a positive impact on nurses' clinical ...
Jungmi Yun +2 more
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BACKGROUND Workplace learning in hospitals consists mostly of informal learning processes that take place during specific work situations. Informal learning and effective learning transfer are expected to have a positive impact on nurses' clinical ...
Jungmi Yun +2 more
semanticscholar +1 more source
IEEE Transactions on Knowledge and Data Engineering, 2010
A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. However, in many real-world applications, this assumption may not hold.
Sinno Jialin Pan, Qiang Yang
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A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. However, in many real-world applications, this assumption may not hold.
Sinno Jialin Pan, Qiang Yang
semanticscholar +1 more source
Transfer Learning and Ensemble Learning
2020In this chapter, we start from transfer learning and introduce the relationship between different learners; we use ensemble learning to combine them together and hope to get a strong learner from a weak learner by changing the training dataset or adjusting parameters of networks. Our ultimate goal is to implement a robust and stable classifier.
openaire +1 more source
Learning transfer system inventory (LTSI) and knowledge creation in organizations
Learning Organization, 2018Purpose Knowledge creation has received substantial attention by researchers, ever since the Socialization Externalization Combination Internalization (SECI) process was introduced.
Aindrila Chatterjee +2 more
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