Intelligent career planning via stochastic subsampling reinforcement learning

Guo, Pengzhan; Xiao, Keli; Ye, Zeyang; Zhu, Hengshu; Zhu, Wei

doi:10.1038/s41598-022-11872-8

Cited by 13 publications

(6 citation statements)

References 60 publications

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“…Concept of Career Planning. It is an ongoing process of self-evaluation and goal setting, including the identification of career opportunities and potential career development goals, as well as the qualifications required, such as vocational training and academic credentials, to achieve the set goals [25].…”

Section: Career Planning Educationmentioning

confidence: 99%

The Relationship between Parenting Style and Career Planning of Vocational Students by Educational Psychology under Information Technology

Zhang

2022

Occupational Therapy International

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It is aimed at studying the role of parenting style on the career planning of vocational students in the context of information technology. This design takes the first-year and second-year students of two higher vocational colleges as the survey objects. From the perspective of educational psychology, firstly, the parenting style scale of these students is constructed, and meanwhile, the dimension design of career planning is carried out. Secondly, through the questionnaire survey, the career planning of students and the status quo of parenting styles are investigated, and the sample data are statistically analyzed by data analysis methods such as standard deviation analysis, cluster analysis, and correlation analysis. Finally, hypotheses are formulated and justified. The results reveal that the total score for career planning and the average score of each dimension are more than 3 points, indicating that vocational students have certain plans for their future careers. There are great differences in the gender of parenting styles, and the parental acceptance/involvement ( t = 3.389 , p < 0.01 ) dimension of the parenting style of the first-year students is greatly higher than that of the second-year students. On the dimension of psychological autonomy ( t = − 2.066 , p < 0.05 ), the score of second-year students is distinctly higher than that of the first year. There are obvious differences in grades from the dimensions of parental acceptance/participation and psychological autonomy. There is no observable difference in whether it is an only child ( p > 0.05 ) and the place of origin ( p > 0.05 ). In terms of the total score and each dimension of career planning, the authoritative type scored the highest, and the neglect type scored the lowest. Parents’ participation and acceptance behavior of vocational students are markedly related to their career planning. Parental punishment and acceptance are distinctly positively correlated with the career planning of these students and their two dimensions. Psychological autonomy is memorably associated with the domain of exploration.

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Section: Career Planning Educationmentioning

confidence: 99%

The Relationship between Parenting Style and Career Planning of Vocational Students by Educational Psychology under Information Technology

Zhang

2022

Occupational Therapy International

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“…This strategy also emphasizes the dynamic nature of career development. As individuals develop, they acquire motivations, skills, and connections, requiring constant adjustment and reinvestment in every aspect (Guo et al, 2022).…”

Section: Related Literaturementioning

confidence: 99%

Knowing How, Knowing Why, Knowing Whom: Examining the Alignment of the MBA Programs with the Intelligent Career Theory Framework (ICTF)

Montano,

Gabronino,

Suico

2024

ijcsrr

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This study explored the relationship between the Intelligent Career Theory framework (ICTF) and the MBA’s Program Educational Objectives (PEO). Employing a self-reported questionnaire survey with 11 MBA graduates from the past five years, the research examined graduates’ perceptions of the program’s effectiveness in fostering skills and knowledge aligned with the core ICTF components: Knowing Why (Intrinsic motivation and career goals), Knowing How (Knowledge & skills), and Knowing Whom (professional networks & mentors). Pearson’s correlation coefficients were utilized to analyze the relationship between these ICTF components and the program’s PEOs. The Permutations were employed to deal with the limitations of a small sample. The significant correlation between the ICTF components and PEOs with the relative strength of know-why and weakness of know-whom provide insight into the program’s alignment with career intelligence development. Recommendations for curriculum improvement and ongoing program evaluation based on the ICTF framework are presented. This study highlights the value of ICTF as a tool for enhancing MBA programs and empowering graduates for successful careers.

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“…CNNs are also proved effective in modeling short-term user interests [40]. Besides, other algorithms such as reinforcement learning [13,14,46] have also shown promising results in sequential recommendation.…”

Section: Related Work 21 Sequential Recommendationmentioning

confidence: 99%

Contrastive Learning with Bidirectional Transformers for Sequential Recommendation

Du¹,

Shi²,

Wang³

et al. 2022

Preprint

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Contrastive learning with Transformer-based sequence encoder has gained predominance for sequential recommendation. It maximizes the agreements between paired sequence augmentations that share similar semantics. However, existing contrastive learning approaches in sequential recommendation mainly center upon leftto-right unidirectional Transformers as base encoders, which are suboptimal for sequential recommendation because user behaviors may not be a rigid left-to-right sequence. To tackle that, we propose a novel framework named Contrastive learning with Bidirectional Transformers for sequential recommendation (CBiT). Specifically, we first apply the slide window technique for long user sequences in bidirectional Transformers, which allows for a more fine-grained division of user sequences. Then we combine the cloze task mask and the dropout mask to generate high-quality positive samples and perform multi-pair contrastive learning, which demonstrates better performance and adaptability compared with the normal one-pair contrastive learning. Moreover, we introduce a novel dynamic loss reweighting strategy to balance between the cloze task loss and the contrastive loss. Experiment results on three public benchmark datasets show that our model outperforms state-of-the-art models for sequential recommendation. Our code is available at this link: https://github.com/hw-du/CBiT/tree/master.

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Intelligent career planning via stochastic subsampling reinforcement learning

Cited by 13 publications

References 60 publications

The Relationship between Parenting Style and Career Planning of Vocational Students by Educational Psychology under Information Technology

The Relationship between Parenting Style and Career Planning of Vocational Students by Educational Psychology under Information Technology

Knowing How, Knowing Why, Knowing Whom: Examining the Alignment of the MBA Programs with the Intelligent Career Theory Framework (ICTF)

Contrastive Learning with Bidirectional Transformers for Sequential Recommendation

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