Role of online assessment system in formative evaluation of programming education

With the rapid development of educational informatization, the IntelliAssessment is increasingly widely used in the formative evaluation of course teaching. Scalability testing (Python Locust framework) showed 100 % response rate under 500 concurrent requests (consistent with typical university course sizes), while 92 % response rate was observed at 1000 concurrent requests (an extreme stress test scenario). Security validation included a 94 % attack-blocking rate in penetration testing and 91.0 % F1-score for AI-driven phishing detection. The <2-s real-time feedback window (p50 = 1.2 s, p90 = 1.8 s, p99 = 2.3 s) is maintained for 90 % of interactions under typical loads, with latency degrading only at very high concurrency—pedagogically, this ensures timely formative feedback for most classroom scenarios. A supplementary analysis discussing current security limitations and the evolving nature of security threats has been added, along with potential development ideas for enhancing system security. These improvements aim to strengthen the comprehensiveness and scientific reliability of our manuscript. Statistics show that 27.65 % of the students who participated in the evaluation were very satisfied with the feedback, while 17.4 % thought that the feedback was helpful. As for understanding the assessment content, 3.15 % of the students indicated that they needed more clarity, indicating that the clarity of the assessment questions still required improvement. Among the students’ learning performance, 67.24 % scored higher than the passing line, indicating that most students can master the course content.