Investigating AI and Academic Integrity: A Human-AI Interaction Approach to develop human-centered AI design framework to encourage ethical behavior
Supervisor: Dr. Abdul Hafeez/Snr. Associate Professor
Co-Supervisor: Dr. Ansar Siddique/ Snr. Associate Professor
Campus/School/Dept: BULC/-/CS
RAC Approved Supervisor for Research Areas: Usability Engineering, Human Computer/AI Interaction, Multi-Criteria Decision Analysis
Supervisory Record:
- PhD Produced:0
- PhD Enrolled:1
- MS/MPhil Produced: 25
- MS/MPhil Enrolled:1
Topic Brief Description:
As AI tools become increasingly prevalent in academic settings, they present both opportunities and challenges in promoting academic integrity. This research explores the intersection of Human-AI Interaction (HAI) and academic integrity, focusing on how AI systems can be designed to encourage ethical behavior and prevent misconduct in academic settings. A mixed-methods approach will be used, starting with qualitative interviews and surveys to gather insights from students, educators, and administrators about their perceptions of AI’s role in academic integrity. Based on these insights, a prototype AI tool (e.g., an AI-powered academic feedback system or an intelligent tutor) will be developed. Experimental studies will then evaluate how students interact with the tool, measuring outcomes like academic performance, engagement with feedback, and trust in the system. Usability testing will assess the system’s effectiveness in promoting academic honesty and user trust. Data will be analyzed using both qualitative (thematic analysis) and quantitative (statistical) methods, aiming to create a framework for designing AI systems that foster ethical behavior and transparency in academic environments.
Research Objectives/Deliverables:
- To investigate the impact of AI-driven academic tools on ethical behavior in academic environments
- To develop human-centered AI design framework to provide guidelines for designing AI systems that promote ethical behavior in academic environments:
- To assess how students perceive AI systems, including their level of trust in the technology to maintain academic honesty and enhance educational outcomes
Research Questions:
- How do AI-driven academic tools influence students’ academic behaviors and decisions regarding plagiarism, citation accuracy, and originality?
- What design principles should guide the development of AI tools that effectively promote ethical academic behavior while minimizing opportunities for misuse?
- How do students’ perceptions of trust and transparency affect their willingness to adopt and responsibly use AI-driven academic tools?
Candidate’s Eligibility Profile:
- The applicant must have an MS/MPhil/Equivalent degree in CS/IT/SE with CGPA > 3.0. Besides, applicants must have knowledge of Human Computer/AI Integration, Usability and Design principles
- Candidates should thrive in an international environment and have excellent communication skills to actively contribute to team research efforts.
- We value independence and responsibility while promoting teamwork and collaboration among colleagues.