Preventing Cheating in Hands-on Lab Assignments

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F22%3A00125129" target="_blank" >RIV/00216224:14610/22:00125129 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1145/3478431.3499420" target="_blank" >http://dx.doi.org/10.1145/3478431.3499420</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3478431.3499420" target="_blank" >10.1145/3478431.3499420</a>

Result language

angličtina

Original language name

Preventing Cheating in Hands-on Lab Assignments

Original language description

Networking, operating systems, and cybersecurity skills are exercised best in an authentic environment. Students work with real systems and tools in a lab environment and complete assigned tasks. Since all students typically receive the same assignment, they can consult their approach and progress with an instructor, a tutoring system, or their peers. They may also search for information on the Internet. Having the same assignment for all students in class is standard practice efficient for learning and developing skills. However, it is prone to cheating when used in a summative assessment such as graded homework, a mid-term test, or a final exam. Students can easily share and submit correct answers without completing the assignment. In this paper, we discuss methods for automatic problem generation for hands-on tasks completed in a computer lab environment. Using this approach, each student receives personalized tasks. We developed software for generating and submitting these personalized tasks and conducted a case study. The software was used for creating and grading a homework assignment in an introductory security course enrolled by 207 students. The software revealed seven cases of suspicious submissions, which may constitute cheating. In addition, students and instructors welcomed the personalized assignments. Instructors commented that this approach scales well for large classes. Students rarely encountered issues while running their personalized lab environment. Finally, we have released the open-source software to enable other educators to use it in their courses and learning environments.

Czech name

—

Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/EF16_019%2F0000822" target="_blank" >EF16_019/0000822: CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 53rd ACM Technical Symposium on Computer Science Education (SIGCSE '22)

ISBN

9781450390705

ISSN

—

e-ISSN

—

Number of pages

7

Pages from-to

78-84

Publisher name

ACM

Place of publication

New York, NY, USA

Event location

Providence, RI, USA

Event date

Mar 2, 2022

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000884263800012