Case Study: IGR Project – Assessment Evaluation with Proctoring in IGR Kacho System

INTRODUCTION

The integration of proctoring technology in IGR Kacho has become essential for ensuring fair and credible assessment evaluations. This case study examines the implementation of a proctoring system within IGR Kacho, focusing on its impact, challenges, and effectiveness.

Background

An organization providing online education sought to enhance the security and integrity of its assessment process. The primary concerns included cheating prevention, remote monitoring, and automated evaluation.

Objectives

• To ensure academic integrity in online assessments
• To implement a proctoring system.
• To improve evaluation efficiency and accuracy.
• To enhance the overall assessment experience for both students and administrators.

Implementation Approach:

The implementation was carried out in the following phases:

• Phase 1: Requirement Analysis – Identifying key features such as face recognition, browser lockdown, screen monitoring, and anomaly detection.
• Phase 2: Integration with IGR – Embedding the proctoring tool within the existing IGR Kacho infrastructure.
• Phase 3: Testing and Calibration – Conducting pilot assessments to fine-tune the sensitivity and minimize false flags.
• Phase 4: Training and Deployment – Training faculty and students on system usage and rolling out the system for real assessments.

Challenges Encountered:

• Technical Issues: Initial latency in processing caused minor delays.
• Privacy Concerns: Users raised concerns about data security and surveillance.
• False Positives: The system occasionally flagged legitimate behaviors as suspicious.
• User Adaptability: Some students and faculty faced difficulties in understanding the proctoring system.

Outcomes & Results:

• Improved Academic Integrity: Significant reduction in cheating cases.
• Higher Evaluation Accuracy: Automated analysis led to more consistent grading.
• Increased User Confidence: Enhanced trust in remote assessments among students and faculty.
• Scalability: The system handled large-scale assessments efficiently.

Conclusion

The integration of proctoring in the IGR Kacho project successfully enhanced assessment security, efficiency, and credibility. While initial challenges were encountered, effective solutions led to a robust and scalable system. Future improvements will focus on refining models and further addressing user concerns.

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