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MRI India Journals Vol. 14 No. 3s (2025): Special Issue: AIDCON-2025

MentorDeskk: Intelligent E-Learning with Advanced Faculty Tools

Authors

  • Praveen Sen Assistant Professor, Department of Computer Science and Business Systems, St. Vincent Pallotti College of Engineering and Technology, Nagpur, India
  • Rucha Ladnapurkar Department of Computer Science and Business Systems, St. Vincent Pallotti College of Engineering and Technology, Nagpur, India
  • Sanjana Kawale Department of Computer Science and Business Systems, St. Vincent Pallotti College of Engineering and Technology, Nagpur, India
  • Joel George Department of Computer Science and Business Systems, St. Vincent Pallotti College of Engineering and Technology, Nagpur, India
  • Kaustubh Katre Department of Computer Science and Business Systems, St. Vincent Pallotti College of Engineering and Technology, Nagpur, India

DOI:

https://doi.org/10.65521/intjournalrecadvengtech.v14i3s.1680

Keywords:

Adaptive Assessment Automated Grading Faculty Management System Learning Analytics Educational Technology, Personalized Learning Educational Technology Personalized Learning

Abstract

The rapid digital transformation of education necessitates intelligent, integrated systems that simultaneously enhance student learning and empower faculty in managing complex academic workflows. This paper introduces the Smart E-Learning & Faculty Management System (SEFMS), a unified, web-based platform designed to streamline faculty responsibilities, strengthen instructional effectiveness, and promote adaptive learning experiences for students. SEFMS leverages adaptive assessment methodologies, automated assignment generation, AI-driven grading, and advanced analytics to personalize learning pathways, deliver immediate and targeted feedback, and dynamically adjust assessments based on individual student competency, behavioural patterns, and preferred learning styles.

In addition to its assessment capabilities, the platform consolidates essential academic management functions—including plagiarism detection, student performance analytics, attendance monitoring, timetable management, and documentation workflows—into a single, cohesive environment. This reduces faculty dependency on multiple disparate tools, minimizes administrative workload, and ensures greater transparency and consistency in academic processes. The system’s predictive analytics and real-time dashboards further support data-driven decision-making by enabling instructors to identify at-risk students, analyses performance trends, and implement timely interventions.

Pilot evaluations conducted across diverse classroom environments reveal substantial improvements in student engagement, motivation, and conceptual understanding, alongside measurable gains in faculty

Productivity and grading accuracy. The integration of intelligent automation with pedagogical principles ensures that SEFMS not only enhances operational efficiency but also strengthens the overall learning ecosystem by fostering personalized, equitable, and outcome-driven education. By positioning faculty at the centre of the digital learning experience, SEFMS represents a significant paradigm shift toward smart, scalable, and sustainable academic management systems for modern educational institutions.

 

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Published

2025-12-23

How to Cite

Sen, P., Ladnapurkar, R., Kawale, S., George, J., & Katre, K. (2025). MentorDeskk: Intelligent E-Learning with Advanced Faculty Tools . International Journal of Recent Advances in Engineering and Technology, 14(3s), 125–132. https://doi.org/10.65521/intjournalrecadvengtech.v14i3s.1680

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