ChatGPT: The End of Online Exam Integrity?
Project Overview
The document examines the role of generative AI, especially ChatGPT, in education, focusing on its potential to both enhance and challenge academic integrity. It underscores the AI's capability to generate high-quality text and complex responses that closely mimic human writing, raising concerns about cheating during online assessments. The discussion emphasizes the necessity for educational institutions to develop effective strategies for assessing student performance while adapting to technological advancements. It advocates for a balanced approach that maintains fairness in evaluations without compromising the integrity of the learning process. Overall, the document highlights the need for educators to embrace generative AI's benefits while addressing the associated risks to ensure a fair and effective educational environment.
Key Applications
AI-Enhanced Assessment and Content Generation
Context: Higher education settings, particularly in online learning environments, where AI is utilized to generate exam questions, evaluate student responses, and create critical thinking challenges across various disciplines including Machine Learning, Marketing, History, and Education.
Implementation: AI technologies like ChatGPT are prompted to generate a variety of educational content, such as exam questions and answers, and are employed to evaluate the quality of student responses. The AI can be used for diverse subjects, showcasing advanced reasoning and text generation capabilities.
Outcomes: Demonstrated potential for improving assessment quality and engaging students with challenging content, while raising concerns about academic integrity due to risks of cheating and the difficulty in detecting AI-generated responses.
Challenges: The implementation of proctoring tools and AI detection systems may not be foolproof, leading to ongoing challenges in distinguishing AI-generated content from authentic student submissions. There is a pressing need for new assessment formats and effective detection mechanisms.
Implementation Barriers
Technological
Current AI detection tools may not effectively identify AI-generated text as they can produce unique responses.
Proposed Solutions: Developing more sophisticated detection algorithms and exploring multi-modal exam formats to mitigate cheating risks.
Ethical
Concerns about privacy and the ethical implications of using proctoring software.
Proposed Solutions: Engage in discussions about ethical use of technology and ensure transparent policies regarding surveillance and student privacy.
Institutional
Higher education institutions may lack the resources and expertise to implement effective AI detection systems.
Proposed Solutions: Collaboration among institutions to share resources and best practices for maintaining academic integrity in online assessments.
Project Team
Teo Susnjak
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Teo Susnjak
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai