AI Across Borders: Exploring Perceptions and Interactions in Higher Education
Project Overview
The document explores the perceptions of generative AI in higher education, examining how students' awareness and attitudes towards AI vary across different institutions and academic disciplines. It reveals that experiences with AI significantly shape these attitudes, indicating a complex relationship influenced by demographic factors. The findings suggest a pressing need for tailored support and training in the effective use of AI tools in educational settings, particularly to enhance learning outcomes. Additionally, the document underscores the importance of addressing concerns related to academic integrity, as the integration of AI into education raises ethical considerations that must be managed. Overall, the study highlights both the potential benefits and challenges of incorporating generative AI into higher education, advocating for a structured approach to ensure its positive impact on student learning and engagement.
Key Applications
Investigating students’ perceptions of Generative AI (GenAI) in education
Context: Higher education institutions in Northern Ireland and India, targeting undergraduate students
Implementation: Survey collecting quantitative Likert ratings and qualitative comments from 1,211 students
Outcomes: Identified variation in perceptions across institutions and subject areas; insights into student awareness and concerns about AI
Challenges: Concerns regarding potential inaccuracies, biases, and misuse of AI tools; need for effective training and support
Implementation Barriers
Institutional
Variation in perceptions of AI across different institutions and academic disciplines, leading to inconsistent implementation and understanding.
Proposed Solutions: Tailored support and training for students and staff; collaboration for sharing best practices.
Ethical
Concerns about academic integrity, the potential for misuse of AI, and issues such as plagiarism.
Proposed Solutions: Develop clear policies and guidelines regarding the ethical use of AI in education.
Project Team
Juliana Gerard
Researcher
Sahajpreet Singh
Researcher
Morgan Macleod
Researcher
Michael McKay
Researcher
Antoine Rivoire
Researcher
Tanmoy Chakraborty
Researcher
Muskaan Singh
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Juliana Gerard, Sahajpreet Singh, Morgan Macleod, Michael McKay, Antoine Rivoire, Tanmoy Chakraborty, Muskaan Singh
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