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Current Trends in Information Technology Original Research

AI-Driven Exam Grading, Percentile Calculation, and Plagiarism Detection System for Educational Integrity

  1. Tajjuddin Malnas Department Information Technology, Pimpri Chinchwad College of Engineering, Pune
  2. Prasanna Pandhare Department Information Technology, Pimpri Chinchwad College of Engineering, Pune
  3. Divyank Panwar Department Information Technology, Pimpri Chinchwad College of Engineering, Pune
  4. Sphurti Deshmukh Department Information Technology, Pimpri Chinchwad College of Engineering Pune

Abstract

The influence of artificial intelligence (AI) on academic evaluation has become increasingly significant, particularly in areas such as automated grading, large-scale content analysis, and plagiarism detection. These technologies provide educators with rapid processing, consistent scoring, and timely feedback that can support both teaching and learning. However, alongside these advantages, serious concerns have emerged regarding the reliability and fairness of AI-driven assessments. The growing presence of AI-generated content has further complicated the evaluation process, often leading to false positives, misclassification, and questionable judgments about academic integrity. These issues highlight the ethical challenges educators face when relying solely on automated systems. Therefore, a more balanced and responsible approach is essential—one that blends human expertise with the analytical power of AI. Such a hybrid framework can help reduce errors, improve transparency, and maintain accountability within academic environments. By combining human judgment with technological efficiency, institutions can promote a more reliable, ethical, and high-quality assessment process, ensuring that AI-supported educational tools genuinely enhance learning rather than compromise it.

Keywords

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