THE SCIENCE AND APPLICATION OF LEARNING AGILITY: INTRODUCTION TO THE SPECIAL ISSUE

被引:4
|
作者
De Meuse, Kenneth P. [1 ]
Harvey, Veronica Schmidt [2 ]
机构
[1] De Meuse Leadership Grp LLC, Minneapolis, MN USA
[2] Schmidt Harvey Consulting LLC, Phoenix, AZ USA
关键词
learning agility; leadership; high-potential talent; talent management; coaching; AFTER-EVENT REVIEWS; LEADERSHIP;
D O I
10.1037/cpb0000233
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
This article introduces a special issue of the Consulting Psychology Journal focused on the science and application of learning agility. Although the construct of learning agility has been used by many organizations around the world as a means to identify and develop leadership talent during the past 2 decades, much about it remains unclear. For example, there are different viewpoints about its definition, its measurement, and even its importance to leader success. In this introductory article, the historical recognition of leadership in organizations is briefly explored, and the emergence of learning agility as a critical component to identify and develop leaders is reviewed. Sections on the application and the science of learning agility examine the popularity of the construct today and provide the psychological linkage to other established theories and research in our field. The underlying hope of this special issue is to stimulate more scholarly investigations into clarifying the construct and offer talent-management professionals, leadership coaches, and consulting psychologists guidance when implementing learning agility in their client organizations.
引用
收藏
页码:207 / 214
页数:8
相关论文
共 50 条
  • [31] Introduction to the special issue: Bringing the brain into education: The application of findings from the Science of Learning to teacher training and development
    Privitera, Adam John
    Chen, S. H. Annabel
    Carthery-Goulart, Maria Teresa
    [J]. TRENDS IN NEUROSCIENCE AND EDUCATION, 2024, 36
  • [32] Introduction to the Special Issue on Learning-based Support for Data Science Applications
    Zhou, Ke
    Song, Jingkuan
    [J]. ACM/IMS Transactions on Data Science, 2021, 2 (02):
  • [33] Introduction to the special issue on learning theory
    Herbrich, R
    Graepel, T
    [J]. JOURNAL OF MACHINE LEARNING RESEARCH, 2004, 4 (05) : 755 - 757
  • [34] Introduction to the special issue on search as learning
    Eickhoff, Carsten
    Gwizdka, Jacek
    Hauff, Claudia
    He, Jiyin
    [J]. INFORMATION RETRIEVAL JOURNAL, 2017, 20 (05): : 399 - 402
  • [35] Introduction to Special Issue on Learning and Work
    Timothy Koschmann
    [J]. Computer Supported Cooperative Work (CSCW), 2008, 17 : 1 - 3
  • [36] INTRODUCTION TO THE SPECIAL ISSUE ON MACHINE LEARNING
    Elkan, Charles
    [J]. JOURNAL OF INVESTMENT MANAGEMENT, 2020, 18 (02): : 5 - 8
  • [37] Special Issue on Distance Learning - Introduction
    Larkin, VM
    [J]. ASSISTIVE TECHNOLOGY, 2004, 16 (02) : 73 - 84
  • [38] Special issue: Deep learning Introduction
    Bach, Francis
    Poggio, Tomaso
    [J]. INFORMATION AND INFERENCE-A JOURNAL OF THE IMA, 2016, 5 (02) : 103 - 104
  • [39] Introduction to the special issue on learning semantics
    Antoine Bordes
    Léon Bottou
    Ronan Collobert
    Dan Roth
    Jason Weston
    Luke Zettlemoyer
    [J]. Machine Learning, 2014, 94 : 127 - 131
  • [40] Special issue on robot learning - Introduction
    Franklin, JA
    Mitchell, TM
    Thrun, S
    [J]. MACHINE LEARNING, 1996, 23 (2-3) : 117 - 119