Technological support for lifelong learning: The application of a multilevel, person-centric framework

IF 5.2 1区心理学 Q1 PSYCHOLOGY, APPLIED

Journal of Vocational Behavior Pub Date : 2024-07-18 DOI:10.1016/j.jvb.2024.104027

Sibley F. Lyndgaard, Rebecca Storey, Ruth Kanfer

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引用次数: 0

Abstract

21st century career development is increasingly characterized by recurring participation in work-related skill learning, much of which is mediated by technology. However, integration of this technology into work-related lifelong learning contexts has been relatively atheoretical and non-systematic. Building on interdisciplinary adult learning research and our findings from several studies on an online graduate degree program in a high demand STEM field, we propose a multilevel, person-centric framework of adult learning processes related to: (1) knowledge and skill acquisition, (2) the development and maintenance of motivation and wellbeing over time, and (3) transfer of learning to career-related goals. For each level of the framework, we discuss issues related to the measurement and evaluation of learning. We outline affordances (i.e., functional benefits) of technology (including artificial intelligence) for supporting career-related learning at each level, and present future directions related to major gaps in the field's understanding of these affordances. Throughout the final section, we illustrate the implications of our framework with examples of its use in a research institute focused on AI adult learning technologies. Finally, we present guiding questions for researchers and practitioners interested in technology-mediated career-related learning.

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为终身学习提供技术支持：以人为本的多层次框架的应用

21 世纪职业发展的特点越来越多地表现为经常参加与工作相关的技能学习，其中大部分学习是以技术为媒介的。然而，将这种技术整合到与工作相关的终身学习环境中的做法相对缺乏理论性和系统性。基于跨学科的成人学习研究以及我们对一个高需求 STEM 领域的在线研究生学位课程的几项研究结果，我们提出了一个多层次的、以人为中心的成人学习过程框架，该框架与以下几个方面有关：(1) 知识和技能的获得，(2) 学习动机和幸福感的发展和长期保持，以及 (3) 将所学知识转化为与职业相关的目标。针对该框架的每个层次，我们讨论了与学习的衡量和评估有关的问题。我们概述了技术（包括人工智能）在每个层次上支持职业相关学习的能力（即功能优势），并介绍了与该领域对这些能力的理解存在的主要差距有关的未来发展方向。在最后一节中，我们将举例说明我们的框架在一家专注于人工智能成人学习技术的研究机构中的应用。最后，我们为对以技术为媒介的职业相关学习感兴趣的研究人员和从业人员提出了指导性问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Vocational Behavior PSYCHOLOGY, APPLIED-

CiteScore

13.10

自引率

5.40%

发文量

期刊介绍： The Journal of Vocational Behavior publishes original empirical and theoretical articles offering unique insights into the realms of career choice, career development, and work adjustment across the lifespan. These contributions are not only valuable for academic exploration but also find applications in counseling and career development programs across diverse sectors such as colleges, universities, business, industry, government, and the military. The primary focus of the journal centers on individual decision-making regarding work and careers, prioritizing investigations into personal career choices rather than organizational or employer-level variables. Example topics encompass a broad range, from initial career choices (e.g., choice of major, initial work or organization selection, organizational attraction) to the development of a career, work transitions, work-family management, and attitudes within the workplace (such as work commitment, multiple role management, and turnover).