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The large dropout rates among B.Tech. students in Kerala contrast strongly with the state's high admission rates for these programs. According to The Times of India, over 8,000 students have left B.Tech. programs in Kerala in the past five years. Additionally, the AICTE Approval Process Handbook (2008–2023) notes a growing delay in admissions for B.Tech. courses in Kerala. This study’s main goal is to determine and analyses the variables influencing engineering students’ academic performance and the reasons behind their dropout rates. To achieve this, a survey was conducted using a self-administered online questionnaire consisting of 71 questions, primarily based on Likert scales, developed from the literature review. Exploratory factor analysis (EFA) revealed 12 factors influencing academic performance and dropout rates. The Interpretive Structural Modelling (ISM) approach was then utilized to classify these factors according to their driving and dependent power and to understand their interrelationships. The results of this study can guide policymakers and educational institutions in creating targeted interventions to enhance student success.

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Investigative Study on the Academic Performance of Undergraduate Engineering Students

  • 会议论文

  • 发表日期：

    2026年

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  • Anandu S. Krishna,
  • K. Sunil Kumar

摘要

The large dropout rates among B.Tech. students in Kerala contrast strongly with the state's high admission rates for these programs. According to The Times of India, over 8,000 students have left B.Tech. programs in Kerala in the past five years. Additionally, the AICTE Approval Process Handbook (2008–2023) notes a growing delay in admissions for B.Tech. courses in Kerala. This study’s main goal is to determine and analyses the variables influencing engineering students’ academic performance and the reasons behind their dropout rates. To achieve this, a survey was conducted using a self-administered online questionnaire consisting of 71 questions, primarily based on Likert scales, developed from the literature review. Exploratory factor analysis (EFA) revealed 12 factors influencing academic performance and dropout rates. The Interpretive Structural Modelling (ISM) approach was then utilized to classify these factors according to their driving and dependent power and to understand their interrelationships. The results of this study can guide policymakers and educational institutions in creating targeted interventions to enhance student success.