A Dialogic Synthesis of the Career Development

2021 ◽  
pp. 197-210
Author(s):  
Grace Ukasoanya
Keyword(s):  
Career Development ◽  
Doctoral Students ◽  
The Self ◽  
Self Management ◽  
Application Process ◽  
Training Experience ◽  
International Doctoral Students ◽  
Career Construction ◽  
Management Orientation ◽  
Life Career

With an increase in precarity globally, there is a need to emphasize proactive self-management of the PhD process for international doctoral students. They may better manage their PhD training journeys if approached as a quest for life career construction. This chapter contributes to research that situates PhD training experience in self-construction of career. The author highlights the self-work that international doctoral students undertake as they construct life careers through a PhD process. She concludes that international doctoral students begin to design their careers from the PhD application process and continue throughout the space and span of the training. She recommends that the counseling field explore different ways to use self and career design approaches to develop self-management orientation resources for international doctoral students.

Whole-Life Career Self-Management: A Conceptual Framework

2020 ◽  
pp. 089484532095772
Author(s):  
Andreas Hirschi ◽  
Hannes Zacher ◽  
Kristen M. Shockley
Keyword(s):  
Career Development ◽  
Life Span ◽  
Well Being ◽  
Work Life ◽  
Role Expectations ◽  
Self Management ◽  
Life Domains ◽  
Theoretical Understanding ◽  
Life Balance ◽  
Life Career

Contemporary careers require flexible career self-management across the life span that takes work and nonwork roles into account. However, existing models of career self-management do not focus on how work and nonwork life domains interact in this process and work–life research largely neglected a careers perspective. To address this issue, we present a new theoretical framework of career self-management that considers the intersection of work and nonwork roles. Our model integrates insights from career self-management, action regulation, and the work–nonwork interface to propose how goals, action plans, and behaviors across work and nonwork roles are dynamically linked and how these processes lead to career satisfaction, work–life balance, and psychological well-being, affected by contextual and personal role expectations and resources and barriers. Our framework has implications for the theoretical understanding of career self-management, the work–life interface, a whole-life perspective on career development, and contextual factors in career development across the life span.

Speaking Out: International Doctoral Students’ Information Needs, Seeking Behaviors, Feelings, and Experience during the Process of Applying for Graduate Study in the US

Libri ◽  
2019 ◽  
Vol 69 (3) ◽  
pp. 213-228 ◽  
Author(s):  
Li-Min Huang ◽  
Dania Bilal
Keyword(s):  
Doctoral Students ◽  
Information Seeking ◽  
Information Needs ◽  
International Student ◽  
Application Process ◽  
Us Economy ◽  
The Us ◽  
International Doctoral Students ◽  
Negative Feelings ◽  
Information Seeking Behaviors

Abstract International student enrollment in US colleges and universities benefits the US economy in many ways and increases diversity on campus While much research on international students exist, we know very little about the experiences of international doctoral students. In this study, we explored the information needs, seeking behaviors, feelings, and overall experiences of 33 international doctoral students during the process of applying for doctoral study in the US. We used in-depth interviews and a questionnaire to collect the data. Findings show that the students used Experiential Resources (EXR) and Authorized Resources (AUR) to meet their information needs. Students faced issues and challenges in using university and academic programs websites and had negative feelings about the application process. Students made several suggestions for enhancing their experiences, including making websites more usable. The findings have implications for improving the usability of websites and for providing better services to support the students’ information needs and information seeking behaviors.

Identifying the Predictors of Self-Management Behaviors in Patients with Diabetes Based on Ecological Approach: A Systematic Review

2020 ◽  
Vol 16 ◽  
Author(s):  
Mahnaz Davari ◽  
Hamed Rezakhani Moghaddam ◽  
Aghil Habibi Soola
Keyword(s):  
Scientific Information ◽  
The Self ◽  
Self Management ◽  
Ecological Approach ◽  
Selection Strategy ◽  
Diabetic Patients ◽  
Personal Factors ◽  
Management Interventions ◽  
Number Of Patients ◽  
Management Behaviors

Background: Recognizing and promoting the factors that affect the self-management behaviors of diabetes leads to a reduction in the number of patients and an improvement in the quality of care. The ecological approach focuses on the nature of people's interactions with their physical and socio-cultural environments. Objective: The purpose of this study was to identify the predictors of self-management behaviors with a comprehensive approach in these patients. Methods: The Keywords were investigated in the relevant national and international databases, including PubMed, Google Scholar, Science Direct, Scopus, and Scientific Information Database, Magiran, and Iran Medex to obtain the articles published from 2009 to 2019. The search and article selection strategy was developed based on the Prisma checklist and was carried out in three steps. Results: Most studies have shown that personal factors had the highest prediction power for the self-management of diabetes. Then, the interpersonal factors, society and policy-making factors, and group and organization factors were most frequently reported predictors of self-management behaviors in diabetic patients. Conclusion: Self-management of diabetes is necessary for controlling it because 95% of care is done by the patient. When designing self-management interventions, factors based on the individual level that increasing self-management behaviors should be taken into account.

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