International Journal of Technology and Applied Science

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Student Academic Mentoring System

Author(s) M. Vishnu Vardhana Rao, P. Sruthi, P. Mayuri, D. Bhavani, M. Navya Sri
Country India
Abstract In the current educational landscape, institutions are increasingly generating vast amounts of academic data, yet much of this data remains underutilized in improving student outcomes. Traditional methods of student evaluation rely heavily on manual observation by faculty members, typically conducted after examination results are released. This reactive approach often delays the identification of academically at-risk students, reducing the effectiveness of mentoring interventions. To address this challenge, this research proposes a Student Academic Mentoring System that leverages data analytics to monitor, analyse, and predict student performance trends. The system collects and processes structured academic data such as internal and external marks, subject-wise grades, and pass or fail status across multiple semesters. By applying analytical techniques, the system identifies patterns in student performance and classifies students into different risk categories. This enables faculty members to take timely and informed mentoring actions. The proposed system not only reduces manual workload but also enhances the accuracy and efficiency of academic monitoring. Experimental evaluation indicates that the system significantly improves early detection of at-risk students and supports data-driven decision-making. Overall, this research highlights the importance of integrating data analytics into academic mentoring systems to foster proactive intervention and improved educational outcomes.
Field Engineering
Published In Volume 17, Issue 4, April 2026
Published On 2026-04-12
Cite This Student Academic Mentoring System - M. Vishnu Vardhana Rao, P. Sruthi, P. Mayuri, D. Bhavani, M. Navya Sri - IJTAS Volume 17, Issue 4, April 2026. DOI 10.71097/IJTAS.v17.i4.1254
DOI https://doi.org/10.71097/IJTAS.v17.i4.1254
Short DOI https://doi.org/hbxc4s
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