Student's programming activity tracking system to help instructors of the programming exercise

Habibi, Baso; Nakanishi, Toru; Fukuda, Akira

doi:10.1109/tenconspring.2016.7519383

Cited by 2 publications

(4 citation statements)

References 6 publications

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“…The proposed technique in this paper can examine whether students cheat on a programming assignment by tracking their coding activities. Several studies [ 15 , 16 , 17 ] have proposed the monitoring of students’ coding activities based on a similar approach. One study [ 17 ] developed a dashboard that enables self-reflection on coding activities to reflect students’ learning processes.…”

Section: Related Workmentioning

confidence: 99%

“…One study [ 17 ] developed a dashboard that enables self-reflection on coding activities to reflect students’ learning processes. Similarly, a research work [ 15 ] suggested a server–client assistance system to collect, store, and monitor programming activity by using logs. The proposed technique is implemented as the plug-in of a well-known IDE, Eclipse.…”

Section: Related Workmentioning

confidence: 99%

“…Another study [ 16 ] presented DevActRec, an IDE-based tool to collect coding activity information for enterprise software developers in a non-intrusive and privacy-preserving manner. Even though previous studies [ 15 , 16 , 17 ] have implemented techniques to collect information on coding activity, they mostly run on a local computer collecting the runtime coding information. This may limit scalability when the number of students increases.…”

Section: Related Workmentioning

confidence: 99%

“…The major approaches to the automatic assessment with a fair evaluation can be divided into plagiarism detection on the submitted source code and the activity tracking of the students writing the source code. Different from the plagiarism detection [ 11 , 12 , 13 , 14 ] that has been widely studied for many years, monitoring the coding activity [ 15 , 16 , 17 ] of students has not been sufficiently investigated.…”

Section: Introductionmentioning

confidence: 99%

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

Kim

Lee

Park

2022

Sensors

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Online learning has made it possible to attend programming classes regardless of the constraint that all students should be gathered in a classroom. However, it has also made it easier for students to cheat on assignments. Therefore, we need a system to deal with cheating on assignments. This study presents a Watcher system, an automated cloud-based software platform for impartial and convenient online programming hands-on education. The primary features of Watcher are as follows. First, Watcher offers a web-based integrated development environment (Web-IDE) that allows students to start programming immediately without the need for additional installation and configuration. Second, Watcher collects and monitors the coding activity of students automatically in real-time. As Watcher provides the history of the coding activity to instructors in log files, the instructors can investigate suspicious coding activities such as plagiarism, even for a short source code. Third, Watcher provides facilities to remotely manage and evaluate students’ hands-on programming assignments. We evaluated Watcher in a Unix system programming class for 96 students. The results showed that Watcher improves the quality of the coding experience for students through Web-IDE, and it offers instructors valuable data that can be used to analyze the various coding activities of individual students.

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