Assessing the Impact of Student Employability Using Decision Tree Classifier in Education 4.0: An Analysis of Key Factors and Predictive Model Development

Assessing the Impact of Student Employability Using Decision Tree Classifier in Education 4.0: An Analysis of Key Factors and Predictive Model Development

Richa Singh, Nidhi Srivastava
Copyright: © 2024 |Pages: 21
DOI: 10.4018/978-1-6684-9285-7.ch008
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Abstract

After graduation, student employability is a crucial issue that has an impact on people's lives, society, and the economy as a whole. Employers are looking for applicants in the present employment market who not only have the required technical abilities but also have the flexibility to adapt to shifting work conditions. In this study, investigate how a decision tree classifier machine learning approach affects graduates' employability in education 4.0. For this, a dataset is used for employability that contains a variety of variables, like academic achievement, real-world experience, and soft skills. Using the decision tree classifier approach to assess the dataset, predictions are then made regarding the factors that would affect employment after graduation. This study finds that the decision tree classifier, when compared to other machine learning algorithms, is more accurate and better suited for use in improving student employability by identifying the key competencies and characteristics needed for various job roles and matching them with qualified candidates in education 4.0.
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1. Introduction

Student employability refers to the ability of students to gain employment after finishing their studies. It encompasses a broad range of skills and attributes that make a student attractive to potential employers. These skills include technical expertise, communication skills, problem-solving ability, teamwork, adaptability, and leadership potential. Employers want people with a mix of high academic credentials and practical experience in today's competitive employment market. Students who have had the opportunity to gain relevant work experience during their studies are better placed to secure employment after graduation (Lee & Chang, 2021; Lu et al., 2021). To improve their employability prospects, students should consider engaging in extracurricular activities, volunteering, and internships in education 4.0 having latest edge cutting technologies like AI, robotics and automation and smart technologies. These opportunities allow students to develop skills, build professional networks, and gain practical experience that is relevant to their field of study. By focusing on building a strong set of employability skills, students can increase their chances of success in the job market. This includes developing their communication and networking skills, seeking out feedback and opportunities for improvement, and staying up-to-date with industry trends and developments (Li et al., 2021). In the end, increasing student employability is about giving students the knowledge and experiences they need to thrive in the industry and realise their professional aspirations. To achieve this, various factors that contribute to student employability include a combination of technical skills, practical experience, and soft skills. Below are some of the basic factors that can influence a student's employability (Chen et al., 2020; Vouk & Jereb, 2020; Wu & Song, 2020):

  • Academic Qualifications: A student's academic qualifications are often the first thing that employers look at when considering potential candidates. This includes both the level of education achieved and the specific courses taken.

  • Technical Skills: In addition to academic qualifications, employers are looking for candidates who have specific technical skills related to the job they are hiring for. For example, a software engineering position may require specific programming languages or experience with certain software tools.

  • Practical Experience: Employers also value candidates who have practical experience in their field. This can include internships, work placements, or part-time jobs that provide relevant experience and skills.

  • Soft Skills: Soft skills such as communication, teamwork, problem-solving, and leadership are also important factors in employability. These skills are often acquired through extracurricular activities, volunteering, or other experiences outside of academic study.

  • Professional Network: A strong professional network can also contribute to employability. This includes networking with alumni, attending career fairs and events, and engaging with industry professionals.

  • Adaptability: The ability to adapt to changing circumstances and learn new skills is increasingly important in today's employment environment. Candidates that can show flexibility and adaptability in their work style are highly valued by employers.

  • Industry Knowledge: Staying up-to-date with industry trends and developments is also important for employability. This includes knowledge of emerging technologies, industry trends, and current events that impact the field.

A combination of technical skills, practical experience, and soft skills are necessary for students to be employable in today's competitive job market. The necessity of student employability lies in the fact that it helps students transition smoothly from education to the workforce (Bhatia & Gupta, 2022). Employability skills are essential for students to secure employment and build successful careers. Below are some of the key reasons why student employability is necessary (Ma & Cai, 2021; Wei & Xie, 2022; Wu et al., 2021):

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