Construction and Empirical Analysis of College Students' Job Satisfaction Index Model Using Artificial Intelligence

Construction and Empirical Analysis of College Students' Job Satisfaction Index Model Using Artificial Intelligence

Lingchong Jia
Copyright: © 2022 |Pages: 21
DOI: 10.4018/IJTHI.313603
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Abstract

Employers' feedback on new college graduates' performance is a crucial piece of information that schools must consider to identify the relevance and responsiveness of their curriculum, programs, and services. Hence, in this paper, the artificial intelligence assisted satisfaction index model (AI-SIM) has been proposed to identify the college students' job satisfaction. Computer systems with advanced artificial intelligence can engage in reasoning, sensing, and responding in the most dynamic and complex environments. Artificial intelligence systems are being adopted rapidly by organizations to manage their workforce. This article aims to present the research results where contract the assessment made by graduates of the training at the University with necessary professional competences in the labour market. Job satisfaction toward colleague has the highest mean, meanwhile opportunities for promotion are the lowest. The implication of college student volunteer's systems and practices are discussed.
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Introduction Of Student Job Satisfaction

Jobs satisfaction means self-motivated, fulfilled and satisfied an employee feels with his work. Job satisfaction arises when an individual feels stable, career development and a comfortable employment balance (Yi et al., 1990). Job satisfaction is the feeling of satisfaction at a person's work, which serves as an opportunity to work. Job satisfaction is the pleasurable mental state arising from evaluating a job to accomplish or promote a job's ideals (Westbrook et al., 1983). The five criteria measuring graduates as the leading contributors to workplace satisfaction are respectful care for all graduate levels, compensation, trust between staff and management, protection at work, and possibilities to use their talents and abilities (Li Huaizu et al., 2004). Untreated depressions may have important implications for the efficiency of the workplace. It may negatively affect many students’ success fields, including concentration and decision-making, time management, physical job completion, social relationships and communication (Jiang Mingjun et al., 2006). Like most other health disorders, early diagnosis and prompt care minimize the disease's duration and effects (Manogaran et al., 2018).

Emotional understanding indicates that emotions can be adequately defined and conveyed and that feelings are discriminated (Darwish et al., 2019). Emotional assimilation, which means emotional thought by concentrating on essential facts. Emotional comprehension, which illustrates the words and the emotions themselves, should mark and recognize their emotions (Cao et al., 2019; van Esch et al., 2019). Emotion control demonstrates the capacity, about ourselves and others, to be responsive to positive and negative feelings, represent or separate oneself from, track and handle emotions (Lv et al., 2020). It interprets immense feedback to reveal organizational strengths and weaknesses and to identify positive and negative feelings in the context of a new policy, changing advantages, management practises or culture at work (Liu et al., 2020). When an organization uses artificial intelligence to hear and understand graduate feelings within a company, it leads to positive work culture (Raj et al., 2020). Recognizing and learning to navigate the negative feelings can be a tool for the team's emotional success. Therefore, managing emotions and being non-negative can make fresher feel more favourable at work, improve, and gain personal productivity (Borah et al., 2019). The influence of both actions and beliefs on dynamic environments at work dramatically impacts people, communities and culture (Zhang et al., 2019). Positive workplace feelings help graduate obtain desirable performance, including achievement, career enrichment and a more robust social environment (Chu et al., 2019).

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