The effect of Grit on Career Decision Making Self-Efficacy and Career Preparation Behaviors of University Students in Physical Education

Jang, Yuri; Huh, Jinyoung

doi:10.35159/kjss.2019.08.28.4.819

Cited by 8 publications

(5 citation statements)

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“…This differed from results of another report, wherein all the sub-domains of grit in general college students influenced their career preparation behavior. In particular, consistency of interests was reported to have a significantly positive effect on career preparation behavior [22]. However, this study found that a lower consistency of interests, which means a student's interests change more often, led to more career preparation behaviors.…”

Section: Discussioncontrasting

confidence: 59%

Factors Influencing Career Preparation Behavior of Mature Age Student Nurses

Cho

2021

J Korean Acad Fundam Nurs

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Purpose: This study was done to determine the correlations among grit, social support, career barriers, and career preparation behavior in mature age nursing students, and identify factors influencing their career preparation behavior.Methods: This cross-sectional, descriptive study included 106 undergraduate nursing students aged 25 years or older at the time of entering three universities in Korea. Grit, social support, career barriers, and career preparation behavior were investigated using structured questionnaires. Data analyses included descriptive statistics, independent t-test, one-way ANOVA, Pearson’s correlation analysis, and stepwise multiple regression analysis and were performed with the SAS program (version 9.4).Results: The factors influencing career preparation behavior of mature age nursing students included: persistence of efforts (β=.35, p<.001) and consistency of interests (β=-.21, p=.011) under the sub-domains of grit; informational support (β=.29, p<.001) under the sub-domains of social support; lack of job information (β=-.36, p<.001) and anxiety about the future(β=.28, p=.008) under the sub-domains of career barriers. These variables accounted for approximately 42% of the variance in career preparation behavior.Conclusion: The findings imply that in order to improve the career preparation behavior and lower the career barriers of mature age nursing students, their individual cognitive and psychological characteristics should be considered while providing diverse job information as part of career guidance.

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Section: Discussioncontrasting

confidence: 59%

Factors Influencing Career Preparation Behavior of Mature Age Student Nurses

Cho

2021

J Korean Acad Fundam Nurs

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“…e emotional cognition model is an extension and integration of the existing theoretical prospect theory and reinforcement learning theory and emphasizes the role of emotion in decision-making and neural-based human decision-making behavior [17]. In the emotional cognition model, the assumed preference for decision-making is mainly obtained from subjective experience in similar situations in the past (that is, experience-based mode) and effectively predicts the result of future emotional influence selection (that is, predictive mode) [18]. Generally speaking, the experience-based model is a reflection, association, and automatic process, while the prediction model is a goaloriented reflection process.…”

Section: Emotional Model and Cognitive Decision-makingmentioning

confidence: 99%

Emotional Interaction and Behavioral Decision-Making Mechanism in Network Science Education Based on Deep Learning

Meng

2022

Advances in Multimedia

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With the globalization of network education and the design and construction of all aspects of engineering, network science education is playing an increasingly important role in higher education and even the lifelong education system of college students. The purpose of this article is to study emotional interaction in deep learning network education and analyze the status quo of its behavioral decision-making mechanism. It uses research literature method, algorithmic statistical method, and questionnaire survey method to investigate specific groups of people; analyzes the status quo of emotional interaction and behavioral decision-making mechanism; improves statistical algorithms; and explores an old style emotional cognitive decision-making model. In this paper, a questionnaire survey of a university shows that the proportion of students whose online learning time is 1.5–2 hours is about 10.3% and the proportion of 1–1.5 hours is about 6.8%. The study time of students’ online courses is mainly concentrated. The study time between 0.5 and 1 hour accounts for about 83.2%; about 2.3% of learners rarely use the Internet, less than 0.5 hour; and 1% of students hardly use online courses and may rely more on traditional classroom teaching. Further research showed the behavior of their emotional interaction: interactive teaching network in six modules reached the upper level, the peak value of the curve was 0.737, the bottom value was 0.115, and the transitivity was above 0.115. From deep statistical learning algorithms to completing network science education, designing or modifying more comprehensive and faster bpq-l learning algorithms based on traditional learning algorithms can allow us to find target sentiments.

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“…College students who have more grit are shown to have clear ideas, always participating in activities that support their goals (Lee and Sohn, 2017). They will have a unique set of strategies for coping with career challenges, allowing them to face difficult situations in a less stress way and not give up easily goals (Yoon et al, 2017;Jang and Huh, 2019). Students with high grit will start to plan their goals from young age, beginning of choosing majors that suit their own wants and interests, and they will try to get high marks and achieve their goals .…”

Section: Grit and Career Adaptabilitymentioning

confidence: 99%

Mental Health Literacy: How to Obtain and Maintain Positive Mental Health

Sequeira¹,

Sampaio²,

Pinho³

et al. 2022

Frontiers Research Topics

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Frontiers is more than just an open-access publisher of scholarly articles: it is a pioneering approach to the world of academia, radically improving the way scholarly research is managed. The grand vision of Frontiers is a world where all people have an equal opportunity to seek, share and generate knowledge. Frontiers provides immediate and permanent online open access to all its publications, but this alone is not enough to realize our grand goals. Frontiers Journal SeriesThe Frontiers Journal Series is a multi-tier and interdisciplinary set of open-access, online journals, promising a paradigm shift from the current review, selection and dissemination processes in academic publishing. All Frontiers journals are driven by researchers for researchers; therefore, they constitute a service to the scholarly community. At the same time, the Frontiers Journal Series operates on a revolutionary invention, the tiered publishing system, initially addressing specific communities of scholars, and gradually climbing up to broader public understanding, thus serving the interests of the lay society, too. Dedication to QualityEach Frontiers article is a landmark of the highest quality, thanks to genuinely collaborative interactions between authors and review editors, who include some of the world's best academicians. Research must be certified by peers before entering a stream of knowledge that may eventually reach the public -and shape society; therefore, Frontiers only applies the most rigorous and unbiased reviews. Frontiers revolutionizes research publishing by freely delivering the most outstanding research, evaluated with no bias from both the academic and social point of view. By applying the most advanced information technologies, Frontiers is catapulting scholarly publishing into a new generation.

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The effect of Grit on Career Decision Making Self-Efficacy and Career Preparation Behaviors of University Students in Physical Education

Cited by 8 publications

References 0 publications

Factors Influencing Career Preparation Behavior of Mature Age Student Nurses

Factors Influencing Career Preparation Behavior of Mature Age Student Nurses

Emotional Interaction and Behavioral Decision-Making Mechanism in Network Science Education Based on Deep Learning

Mental Health Literacy: How to Obtain and Maintain Positive Mental Health

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