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@article{189807,
        author = {Bharat Chitranshi and Dr. Chiathali Bhattacharya},
        title = {Impact of the COVID-19 Pandemic on Teaching Delivery and Student Learning Outcomes: A Quantitative and Computational Analysis},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {1116-1121},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=189807},
        abstract = {This study investigated the impact of the COVID-19 pandemic on teaching delivery and student learning outcomes across pre-, during-, and post-pandemic phases using a quantitative, computational framework supported by Python-based analysis. Data from 600 students, combining survey responses and institutional records, revealed significant declines in academic performance, attendance, and engagement during the pandemic, with only partial recovery afterward. Comparative analysis highlighted widening disparities between urban and rural learners and between public and private schools, driven largely by digital access and institutional readiness. Correlation and regression results identified pre-pandemic performance and student engagement as the strongest predictors of pandemic-era achievement, while teacher support contributed indirectly by enhancing engagement. The study concludes that the pandemic exposed systemic inequities but also accelerated digital transformation in education. It recommends strengthening digital infrastructure, teacher training, student support, and flexible, blended learning models to build a resilient and equitable education system.},
        keywords = {COVID-19 Education, Learning Outcomes, Digital Divide, Student Engagement},
        month = {January},
        }