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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM52511
Volume:
9 |
9 |
Sep 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
In recent years, technological advancements have accelerated, with computers and intelligent systems being widely used to solve real-world problems. Effective interaction with machines requires proficiency in programming languages such as C, C++, Java, and Python. Consequently, students are increas- ingly engaging in coding practice on various online platforms to strengthen their problem-solving and programming skills. While this self-driven approach enhances technical expertise, a critical gap remains between students and faculty: the lack of an efficient monitoring and feedback mechanism. Currently, universities focus on teaching fundamental concepts such as Data Structures and Algorithms (DSA), but faculty members often lack visibility into students’ coding activities outside the classroom. Questions such as “How are my students performing on coding platforms?” and “What progress are they making in their daily practice sessions?” remain largely unan- swered. This research addresses the missing bridge by proposing a system that enables faculty to monitor, analyze, and evaluate students’ coding performance across platforms. By providing insights into practice patterns, problem-solving consistency, and overall progress, the system aims to foster accountability, enhance learning outcomes, and strengthen the student–faculty academic relationship.
KEYWORDS
Publication Date
10/8/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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