{"title":"Technological support for lifelong learning: The application of a multilevel, person-centric framework","authors":"Sibley F. Lyndgaard, Rebecca Storey, Ruth Kanfer","doi":"10.1016/j.jvb.2024.104027","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":51344,"journal":{"name":"Journal of Vocational Behavior","volume":"153 ","pages":"Article 104027"},"PeriodicalIF":5.2000,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Vocational Behavior","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S000187912400068X","RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, APPLIED","Score":null,"Total":0}
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.
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).
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