An Online System for Creating Personalized Assessments to Mitigate Cheating

Xuheng Duan, Xinfeng Ye, Sathiamoorthy Manoharan

Abstract: Academic dishonesty poses a significant threat to the integrity of higher education, often undermining the credibility of academic institutions. This paper presents the development and evaluation of a personalized assessment system designed to deter cheating and promote academic integrity. The proposed system enables educators to create unique question sets for each student, reducing the potential for cheating through features such as parameterization, question banks, and the incorporation of student-created questions. The user-friendly online interface ensures that educators can utilize the system from anywhere without requiring extensive technical knowledge.The study addresses three primary research questions: (1) the feasibility of developing an online application for personalized assessments without programming knowledge, (2) the impact of personalized assessments on reducing plagiarism, and (3) the applicability of such assessments across various subjects. Empirical evidence suggests that personalized assessments significantly reduce instances of plagiarism, thus enhancing academic integrity. The thesis also discusses areas for future development to further enhance the system’s effectiveness and usability.Overall, the personalized assessment system represents a promising solution to the challenges posed by academic dishonesty. By providing unique and individualized assessments, this system not only reduces the potential for cheating but also supports the broader goal of maintaining the integrity and credibility of higher education assessments