Overall Academic Performance Summary
Consolidated Result Analysis – RIT (Institute Level)
The result analysis of RIT demonstrates the Institute’s sustained focus on academic quality, outcome-based education, and continuous improvement in teaching–learning processes. Semester-wise and programme-wise analysis of university examination results is carried out systematically to evaluate student performance, course effectiveness, and attainment of programme outcomes.
The overall results across diploma/undergraduate programmes indicate a stable and improving trend in pass percentage, average SGPA/CGPA, and reduction in failure rates. The Institute adopts a structured mechanism for result monitoring through departmental review meetings, academic audits, and institutional academic council discussions. Based on the analysis, corrective and preventive actions are implemented to enhance academic performance.
Special academic support mechanisms such as remedial classes, tutorial sessions, mentoring, doubt-clearing classes, and laboratory reinforcement are provided for academically weak students. Simultaneously, advanced learners are encouraged through enrichment programmes, competitive examination guidance, project-based learning, and industry exposure. These initiatives have contributed positively to improved academic outcomes and student progression.
The result analysis process at RIT is data-driven and feedback-oriented. Course-wise performance trends, internal assessment correlation, and student feedback are critically reviewed to improve curriculum delivery and assessment strategies. Overall, the results reflect the effectiveness of the Institute’s academic planning and its alignment with the Vision and Mission of RIT.
Year-wise Result Analysis – Statistical Trend
Department of Automobile Engineering | ||||
Academic Year | Appeared | Passed | Pass (%) | Avg. % |
2022-23 | 19 | 15 | 79 | 74 |
2023-24 | 31 | 18 | 58 | 75 |
2024-25 | 67 | 46 | 69 | 76 |
Department of Civil Engineering | ||||
Academic Year | Appeared | Passed | Pass (%) | Avg. % |
2022-23 | 54 | 24 | 44 | 74 |
2023-24 | 117 | 50 | 43 | 75 |
2024-25 | 67 | 46 | 69 | 76 |
Department of Electrical Engineering | ||||
Academic Year | Appeared | Passed | Pass (%) | Avg.% |
2022-23 | 109 | 67 | 61 | 74 |
2023-24 | 150 | 114 | 76 | 75 |
2024-25 | 145 | 108 | 74 | 76 |
Department of Electronics and Telecommunication Engineering | ||||
Academic Year | Appeared | Passed | Pass (%) | Avg.% |
2022-23 | 18 | 15 | 83 | 74 |
2023-24 | 34 | 13 | 38 | 75 |
2024-25 | 34 | 27 | 79 | 76 |
Department of Mechanical Engineering | ||||
Academic Year | Appeared | Passed | Pass (%) | Avg. % |
2022-23 | 120 | 81 | 67 | 74 |
2023-24 | 149 | 120 | 81 | 75 |
2024-25 | 145 | 115 | 79 | 76 |
Trend Observation:
- Consistent improvement in pass percentage over the last three academic years
- Gradual increase in average SGPA/CGPA
- Reduction in the number of backlogs due to timely academic interventions
Department-wise Result Analysis Notes
Department of Automobile Engineering
The result analysis of the Department of Automobile Engineering indicated progressive improvement in automotive systems and design-related subjects. Focused practical training, diagnostic laboratory exposure, and industry-linked internships supported better academic understanding and examination performance.
Department of Civil Engineering
The result analysis of the Department of Civil Engineering indicates steady academic performance with improvement in core subjects such as Structural Engineering, Geotechnical Engineering, and Environmental Engineering. Course-wise analysis helped identify subjects requiring additional academic support, leading to remedial classes, extra tutorials, and enhanced laboratory sessions. The Department’s focus on field exposure, design-based learning, and mentoring has positively influenced overall student performance.
Department of Electrical Engineering
The Department of Electrical Engineering demonstrated consistent results in subjects related to electrical machines, power systems, and control engineering. Performance analysis led to targeted academic interventions such as tutorial classes and simulation-based learning. The Department’s emphasis on laboratory competency and application-based learning positively impacted student outcomes.
Department of Electronics & Telecommunication Engineering
The Department of Electronics & Telecommunication Engineering showed improvement in communication systems, embedded systems, and signal processing courses. Based on result analysis, additional laboratory practice and concept clarification sessions were conducted. Industry exposure and design-oriented projects contributed to improved student performance.
Department of Mechanical Engineering
The Department of Mechanical Engineering has shown consistent performance across thermal, manufacturing, and design-oriented subjects. Result analysis meetings facilitated identification of challenging courses, following which additional problem-solving sessions and laboratory reinforcement were introduced. Industry-oriented projects and practical exposure contributed to better understanding of core concepts and improved examination outcomes.
NAAC / AICTE / NBA Mapping
NAAC Alignment
- Criterion 1: Curriculum Delivery & Assessment
- Criterion 2: Teaching–Learning and Evaluation
- Criterion 2.6: Student Performance and Learning Outcomes
- Criterion 2.7: Student Satisfaction
NBA Alignment
- Continuous monitoring of Course Outcomes (COs)
- Mapping of results with Programme Outcomes (POs) and PSOs
- Corrective actions based on attainment gaps
AICTE Compliance
- Structured academic monitoring
- Student mentoring and academic support systems
- Emphasis on outcome-based education and quality assurance
Result Analysis with PO & PSO Attainment – RIT
The result analysis at RIT is systematically linked with the assessment of Course Outcomes (COs), Programme Outcomes (POs), and Programme Specific Outcomes (PSOs) in accordance with Outcome-Based Education (OBE) practices prescribed by NBA and NAAC. University examination results and internal assessment data serve as primary inputs for measuring CO attainment, which is subsequently mapped to PO and PSO attainment at the programme level.
Course-wise result analysis is conducted at the end of each semester to evaluate student performance in relation to predefined CO targets. Direct assessment tools such as end-semester examinations, internal tests, assignments, laboratory evaluations, and project assessments are used to compute CO attainment levels. These COs are mapped to relevant POs and PSOs using approved correlation matrices, and weighted averages are calculated to determine overall PO and PSO attainment.
The PO and PSO attainment tables indicate satisfactory to progressive attainment across all programmes, reflecting the effectiveness of curriculum delivery, assessment strategies, and student support mechanisms. Higher attainment levels are observed in technical knowledge, problem analysis, modern tool usage, and discipline-specific competencies, while moderate attainment in certain outcomes has guided the implementation of targeted improvement measures.
Based on the gaps identified through PO and PSO attainment analysis, departments have initiated corrective actions such as remedial classes, tutorial sessions, enhanced laboratory practice, bridge courses, and focused mentoring for identified courses and outcomes. Advanced learners are supported through value-added courses, industry-linked projects, internships, and exposure to emerging technologies to further strengthen higher-order outcomes such as design, innovation, and lifelong learning.
Indirect assessment tools including course exit surveys, programme exit surveys, alumni feedback, and employer feedback are also analysed and correlated with direct attainment results. The consistency between direct and indirect attainment levels validates the reliability of the outcome assessment process adopted by the Institute.
The consolidated PO and PSO attainment results are reviewed in departmental academic meetings and at the institutional academic council level. Recommendations arising from these reviews are incorporated into academic planning, teaching methodologies, assessment design, and curriculum enrichment, thereby closing the feedback loop and ensuring continuous improvement.
Overall, the alignment of result analysis with PO and PSO attainment tables demonstrates that RIT follows a robust, transparent, and data-driven OBE framework. This systematic approach ensures that graduates achieve the intended learning outcomes and are well-prepared to meet professional, ethical, and societal responsibilities as envisioned in the institutional Vision and Mission.
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The comprehensive result analysis mechanism at RIT ensures continuous academic improvement, effective student support, and attainment of institutional learning outcomes. The systematic review process, combined with targeted academic interventions, has strengthened student performance and reinforced the Institute’s commitment to academic excellence and quality assurance.