On the role of motivation in self-directed learning: The “two-shells-model of motivated self-directed learning” as a structural explanatory concept

1999 ◽  
Vol 14 (1) ◽  
pp. 71-86 ◽  
Author(s):  
Peter Nenniger
2021 ◽  
pp. 089484532199164
Author(s):  
Adam M. Kanar ◽  
Dave Bouckenooghe

This study aimed to understand the role of regulatory focus for influencing self-directed learning activities during a job search. The authors surveyed 185 job-searching university students at two time points to explore the conditions under which regulatory focus (promotion and prevention foci) impacts self-directed learning activities and the number of employment interviews secured. Both promotion and prevention foci showed significant relationships with self-directed learning activities and number of interviews, and positive and negative affect partially mediated these relationships. The relationships between both regulatory focus strategies and self-directed learning were also contingent on self-efficacy. More specifically, prevention focus and self-directed learning showed a positive relationship for job seekers with high levels of self-efficacy but a negative one for job seekers with low levels of self-efficacy. This research extends the understanding of the role of regulatory focus in the context of self-directed learning during a job search. Implications for research and practice are discussed.


PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0255177
Author(s):  
Zahid Shafait ◽  
Muhammad Asif Khan ◽  
Yuriy Bilan ◽  
Judit Oláh

Objective: Drawing on the knowledge-based view and ability-based theories of emotional intelligence (EI), in this study, we investigate the effects of EI on learning outcomes related to academics and administrators in Chinese research universities and we also test the direct association between learning outcomes and creative performance. In addition, we examine the mediating role of self-directed learning (SDL) and knowledge management processes (KMPs) on the relationship between EI and learning outcomes. Methods: The sample, for this study, consisted of 547 academic and administrative personnel at Chinese higher educational institutions (HEIs), and the hypothesized associations were examined through partial least squares structural equation modeling. Results: Our results indicated that EI has no significant influence on learning outcomes. However, an indirect relationship between EI and learning outcomes is established through SDL and KMPs. Conclusions: This study strengthens the professional understanding of EI and supports that the personnel at HEIs should value SDL and KMPs, which in turn enhances their learning outcomes. Although EI has received increased importance in higher education institutions, there are few studies that have investigated the relationship of EI, SDL, KMP, and learning outcomes. This is one of the initial studies that has empirically examined the interface of EI and learning outcomes in HEIs and also provides timely insights into the understanding of the mediating role of SDL and KMP.


2022 ◽  
pp. 193-208
Author(s):  
Naomi Rose Boyer ◽  
Jessica Mason ◽  
Michelle Navarre Cleary ◽  
Julie A. Telkamp

At a time when workplace skills are rapidly evolving, continuous learning is increasingly important, and the responsibility for learning has shifted from others (parents, schools, teachers, employers) to individuals. Self-directed learning (SDL) can help learner-earners thrive in a skills-based economy. Competency-based education (CBE) is well suited to appeal to self-directed learners and to scaffold learner self-direction; however, existing research on the relationship between SDL and CBE programs is limited. This chapter uses case studies of the experiences of two self-directed learners in a CBE program to explore the role of self-direction in their learning journeys. The key takeaways are that (1) self-direction can have a strong impact on learner success and (2) CBE programs are uniquely positioned to support self-directed learners. The chapter concludes with a discussion of considerations for future research.


Author(s):  
Bowen Liu ◽  
Yonghe Wu ◽  
Wanli Xing ◽  
Shouchao Guo ◽  
Lijuan Zhu

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