Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{176675,
        author = {SABARISH M and PERCY JONE N and RAM KUMAR J and PRANAV KR},
        title = {Academic course outcome analytics},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {6559-6562},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176675},
        abstract = {This paper presents Academic Course Outcome Analytics, a web-based platform designed to provide detailed analysis of student performance across individual Course Outcomes (COs). Faculty members can upload question papers for exams, assignments, and case studies, with the system automatically mapping questions to specific syllabus units. Faculty enter student marks on a per-question basis, allowing precise tracking of performance. The system compiles a searchable question bank, enabling students to access past questions by topic for practice. Interactive visual reports support data-driven decision-making for faculty, administrators, and students. The platform enhances academic assessment, facilitates personalized learning, and improves educational outcomes through secure data entry, automated tracking, and an intuitive interface.},
        keywords = {Course Outcome, Question Bank, Performance Analytics, Educational Assessment, CO Mapping.},
        month = {April},
        }