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Enhancing engineering student employability: a predictive analytics approach to academic performance, skills development and placement outcomes.

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Title: Enhancing engineering student employability: a predictive analytics approach to academic performance, skills development and placement outcomes.
Authors: Ganesh, Anjali1 anjalig@sjec.ac.in, Madhava, Sandhya2 sandhyamangalore@gmail.com, Kumar, Roopesh1 roopesh.roop06@gmail.com, Prabhu, Ravikantha3 prabhuravikantha@gmail.com
Source: Higher Education, Skills & Work-based Learning. 2025, Vol. 15 Issue 5, p1083-1097. 15p.
Subject Terms: *Engineering students, *Employability, *Holistic education, *Engineering education, Stakeholders
Abstract: Purpose: Engineering education plays a crucial role in fostering innovation and technological advancements across industries. This study examines the impact of academic achievement on engineering placements, identifying key factors influencing students' organizational success. The research aims to enhance students' skills and competencies to improve their employability in preferred companies. Design/methodology/approach: The study employs a data-driven approach, analyzing historical student placement records and applying predictive analytics to forecast future placement trends. A comprehensive evaluation of demographic, academic and skill-based factors is conducted to determine their influence on student employability outcomes. Findings: The results highlight the complex relationship between academic performance, demographic factors and employability competencies. The study underscores the importance of a holistic education model that integrates technical knowledge with essential skills development. Insights from this research provide valuable guidance for educational institutions, policymakers and industry stakeholders in optimizing engineering curricula to enhance student placement success. Originality/value: The novelty of this study lies in its multidimensional approach to analyzing student placement outcomes. By exploring the interplay between academic performance, demographic influences and employability skills, this research contributes to a more inclusive and equitable engineering education system. The findings serve as a foundation for future discussions, collaborations and strategic initiatives aimed at improving engineering students' transition into the workforce. [ABSTRACT FROM AUTHOR]
Copyright of Higher Education, Skills & Work-based Learning is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
FullText Text:
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DbLabel: Education Research Complete
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PubType: Academic Journal
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  Data: Enhancing engineering student employability: a predictive analytics approach to academic performance, skills development and placement outcomes.
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  Data: <searchLink fieldCode="AR" term="%22Ganesh%2C+Anjali%22">Ganesh, Anjali</searchLink><relatesTo>1</relatesTo><i> anjalig@sjec.ac.in</i><br /><searchLink fieldCode="AR" term="%22Madhava%2C+Sandhya%22">Madhava, Sandhya</searchLink><relatesTo>2</relatesTo><i> sandhyamangalore@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Kumar%2C+Roopesh%22">Kumar, Roopesh</searchLink><relatesTo>1</relatesTo><i> roopesh.roop06@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Prabhu%2C+Ravikantha%22">Prabhu, Ravikantha</searchLink><relatesTo>3</relatesTo><i> prabhuravikantha@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Higher+Education%2C+Skills+%26+Work-based+Learning%22">Higher Education, Skills & Work-based Learning</searchLink>. 2025, Vol. 15 Issue 5, p1083-1097. 15p.
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  Data: *<searchLink fieldCode="DE" term="%22Engineering+students%22">Engineering students</searchLink><br />*<searchLink fieldCode="DE" term="%22Employability%22">Employability</searchLink><br />*<searchLink fieldCode="DE" term="%22Holistic+education%22">Holistic education</searchLink><br />*<searchLink fieldCode="DE" term="%22Engineering+education%22">Engineering education</searchLink><br /><searchLink fieldCode="DE" term="%22Stakeholders%22">Stakeholders</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Purpose: Engineering education plays a crucial role in fostering innovation and technological advancements across industries. This study examines the impact of academic achievement on engineering placements, identifying key factors influencing students' organizational success. The research aims to enhance students' skills and competencies to improve their employability in preferred companies. Design/methodology/approach: The study employs a data-driven approach, analyzing historical student placement records and applying predictive analytics to forecast future placement trends. A comprehensive evaluation of demographic, academic and skill-based factors is conducted to determine their influence on student employability outcomes. Findings: The results highlight the complex relationship between academic performance, demographic factors and employability competencies. The study underscores the importance of a holistic education model that integrates technical knowledge with essential skills development. Insights from this research provide valuable guidance for educational institutions, policymakers and industry stakeholders in optimizing engineering curricula to enhance student placement success. Originality/value: The novelty of this study lies in its multidimensional approach to analyzing student placement outcomes. By exploring the interplay between academic performance, demographic influences and employability skills, this research contributes to a more inclusive and equitable engineering education system. The findings serve as a foundation for future discussions, collaborations and strategic initiatives aimed at improving engineering students' transition into the workforce. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Higher Education, Skills & Work-based Learning is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1108/HESWBL-03-2025-0080
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        Text: English
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      – SubjectFull: Holistic education
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              Text: 2025
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