Data Analysis of Cognitive, Behavioral, and Emotional Features Having Impact on Student Careers

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Author(s): Gouthami Velakanti (Kakatiya Institute of Technology and Science, India), Anjali Mathur (KL University (Deemed), India)and Kalyanapu Srinivas (Kakatiya Institute of Technology and Science, India)
Copyright: 2023
Pages: 12
Source title: New Approaches to Data Analytics and Internet of Things Through Digital Twin
Source Author(s)/Editor(s): P. Karthikeyan (National Chung Cheng University, Chiayi, Taiwan), Polinpapilinho F. Katina (University of South Carolina Upstate, USA)and S.P. Anandaraj (Presidency University, India)
DOI: 10.4018/978-1-6684-5722-1.ch009

Keywords: Data Analysis & Statistics / Data Analysis and Statistics / Information Science Reference / Library & Information Science

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Abstract

According to cognitive data analysis theory, career thoughts of students mediate the relationship between career, stress, and the career decision state. A student who opts for higher education and is new to this environment is undergoing stress. The work is focused on identifying behavioral, cognitive, and emotional features of the student, which have an impact on professional careers. So, early recognition of these features is necessary. This chapter presents an analysis by following some statistical approaches of machine learning and mathematical concepts. The study found that an increase in career and life stress is associated with a lower level of decidedness and satisfaction with career choice among genders. The results suggests that counselling is needed to aid students in their career thoughts and decision making.

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Data Analysis of Cognitive, Behavioral, and Emotional Features Having Impact on Student Careers

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