Human-AI Collaboration: A Student-Centered Perspective of Generative AI Use in Higher Education

Authors

DOI:

https://doi.org/10.34190/ecel.23.1.3008

Keywords:

generative AI, ChatGPT, collaboration, higher education

Abstract

The increasing adoption of generative AI (Gen AI) has made it even more important to investigate how education and learning is transformed. The paper investigates the evolving relationship between humans and AI in performing learning and knowledge-intensive tasks. Based on mixed data collected from business school students, the article explores the evolving relationships between human and AI in knowledge collaboration. The article sets out to address how Gen AI usage affects students’ behavior, their academic work and their attitudes towards AI.  It investigates how students use Gen AI in an academic context to support students’ work processes. Our analysis draws on collaborative learning theories and revisits the automation-augmentation paradox in the context of management education. The aim is to address the following research questions: How does collaboration with AI affect student academic work? And how do students in higher education use Gen AI for academic work?  We present insights into students’ perception of benefits and drawbacks of using Gen AI, their attitude towards Gen AI, knowledge tasks in which they collaborate or delegate to Gen AI and we discuss the potential risks associated with the use of Gen AI. Students are collaborating with AI using ChatGPT for expanding knowledge on academic themes, summarizing concepts, theories, and generating ideas for research topics and methods. Time saving, enhanced productivity and user-friendliness of the tool were identified as the main benefits associated with Gen AI, whereas the risk of plagiarism, its inaccuracy in responses and the need for prior knowledge were identified as the main drawbacks. While our findings underscore the potential of Gen AI to significantly enhance student learning experiences, they also underscore the importance of exercising caution and awareness of associated risks to automate learning. This study seeks to enrich our comprehension of AI's transformative role in higher education, with a specific focus on the student-centered perspective.

Author Biography

Liana Razmerita, Copenhagen Business School

Liana Razmerita is Associate Professor at Copenhagen Business School. Her research investigates knowledge work, collaboration and learning technologies in the digital age. She is interested in how emerging technologies and AI shape learning, value co-creation and new ways of working. 

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Published

2024-10-23