Evaluating the Efficacy of University Plagiarism Detection Systems in Verifying Student Authenticity of Knowledge in the Era of ChatGPT
Ensuring Academic Integrity in the Age of ChatGPT: An Assessment of University Plagiarism Detection Systems and their Effectiveness in Verifying Student Knowledge Authenticity
Plagiarism Detection Systems
Thesis project description
This thesis aims to evaluate the efficacy of plagiarism detection systems used by universities in verifying the authenticity of students' knowledge, specifically in the context of ChatGPT and similar AI models. By assessing the capabilities and limitations of these systems within the university environment, this research will explore whether they can effectively identify instances of plagiarism involving AI-generated content and ensure the authenticity of student work.
Managerial value of the research
Advancing Plagiarism Detection Technology. The findings of this thesis can provide insights into the capabilities and limitations of current plagiarism detection systems when dealing with AI-generated content. This information can guide the development and improvement of future systems to better address the challenges posed by evolving technologies.
Research topic motivation
The widespread availability and accessibility of AI language models, such as ChatGPT, have revolutionized the way individuals interact with and generate textual content. However, this technological advancement has also raised concerns regarding the authenticity of knowledge and the potential for increased instances of plagiarism within educational institutions. As universities strive to maintain academic integrity and ensure that students' work reflects their own understanding and effort, it becomes crucial to assess the effectiveness of existing plagiarism detection systems in addressing the unique challenges posed by AI-generated content. By evaluating the efficacy of these systems in the era of ChatGPT, this thesis seeks to contribute to propose recommendations and guidelines to enhance the efficacy of plagiarism detection systems in universities in the era of ChatGPT.
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Project Researcher #1
I am a master Computer science student at ITU, specializing in Software engineering. I have a strong background in Mathematics from my IT engineering bachelors of 5 years in Mozambique. I living in Denmark for the past 7 years, I speak Danish, English's and Portuguese. I am looking for a thesis collaboration for the next autumn semester.
Passion and motivation
As a computer science student, I am driven by my passion for technology, problem-solving mindset, collaborative spirit, eagerness to explore new frontiers, and commitment to making a meaningful impact. I am excited about the opportunities that lie ahead in thesis writing and look forward to utilizing my skills to contribute to the advancement of computer science and its applications. Although I am specializing in Software Engineering I have a strong interest in mathematics and machine Learning as well.
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