The Future of Academia: The Convergence of AI and the Modern Classroom
December 2023
Authors: Ariane O’Rourke, Deema El-Baba, Eline Remmerswaal, Elizabeth Spaulding, Julian Tepfers, Kas Bernays.
Edited by Nina Harbison.
EXECUTIVE SUMMARY
This research paper presents a comprehensive analysis of the integration of Artificial Intelligence (AI) in the modern educational landscape, with a specific focus on its application in university settings. As AI continues to revolutionise various sectors, its infiltration into academia brings forth unique challenges and opportunities, especially in the realm of formative assessments. This paper aims to provide an in-depth understanding of how AI can be effectively incorporated into these assessments, addressing both the technological and pedagogical aspects.
Key Findings
This research paper addresses the integration of AI in university education, emphasising both challenges and opportunities. It focuses on how AI can be effectively used in formative assessments, acknowledging the complexities and evolving nature of AI technologies. The study also explores the historical development of technology in education and assesses the effectiveness of current AI tools in academic settings. Furthermore, it highlights the ethical and societal implications, including data security and the impact on student learning, providing a nuanced view of AI’s role in modern academia.
Recommendations
This paper recommends a balanced approach to integrating AI into university assessments, emphasising the importance of considering both technological capabilities and ethical implications. It advocates for regular evaluation of AI tools to ensure their alignment with educational objectives and adherence to ethical standards. Addressing ethical concerns, data security and personalised learning is highlighted as a priority for safeguarding students’ rights and interests. Additionally, the paper calls for a broader dialogue about the societal impacts of AI in academia, including labour rights and the future of education, to foster a holistic understanding and responsible implementation of AI technologies in educational settings. These recommendations aim to guide educators, policymakers, and stakeholders in higher education as they navigate the complexities of integrating AI into academic environments.