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Watcher: Cloud-Based Coding Activity Tracker for Fair Evaluation of Programming Assignments.

Youngpil Kim¹, Kyungwoon Lee², Hyunchan Park³

¹Department of Information and Telecommunication Engineering, Incheon National University, Incheon 22012, Korea.

Sensors (Basel, Switzerland)

|October 14, 2022

Summary

This summary is machine-generated.

A new automated system, Watcher, combats online programming assignment cheating. It provides a web-based IDE and monitors student coding activity, offering instructors valuable data for detecting plagiarism and managing assignments effectively.

Keywords:

Web-IDE cloud platform coding activity online learning

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Area of Science:

Computer Science Education
Software Engineering

Background:

Online learning offers flexibility but increases opportunities for academic dishonesty in programming assignments.
Existing methods for detecting cheating in online programming education are often insufficient.

Purpose of the Study:

To introduce and evaluate the Watcher system, an automated cloud-based platform designed to address cheating in online programming education.
To enhance the online programming learning experience through an integrated development environment and provide tools for academic integrity.

Main Methods:

Development of Watcher, a cloud-based platform featuring a web-based integrated development environment (Web-IDE).
Implementation of real-time collection and monitoring of student coding activities.
Generation of log files detailing coding history for instructor review and analysis.
Remote management and evaluation capabilities for programming assignments.

Main Results:

Watcher was evaluated in a Unix system programming class with 96 students.
The Web-IDE component improved the quality of the students' coding experience.
The system provided instructors with valuable data for analyzing individual student coding activities and detecting potential plagiarism.

Conclusions:

The Watcher system offers a viable solution for impartial and convenient online programming education.
It effectively supports instructors in monitoring student progress and upholding academic integrity.
Automated monitoring and data provision are crucial for managing and evaluating hands-on programming assignments in online settings.