AI in academic contexts: understanding students' perception of its role, benefits and risks
Pieretti, Sara (A.A. 2023/2024) AI in academic contexts: understanding students' perception of its role, benefits and risks. Tesi di Laurea in Strategic human resource management, Luiss Guido Carli, relatore Rosana Silveira Reis, pp. 101. [Master's Degree Thesis]
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Abstract/Index
Context of the research. Aim of the research. Gaps in the literature and problem statement. Methodological approach. Literature review. What is artificial intelligence? History of artificial intelligence. Areas of application of artificial intelligence. Contradictions and ethical issues. Framework around the literature gap. The role of artificial intelligence within academic contexts. University students’ perception and concerns about AI. Personality predictors of technology’s perception. Gender and age’s effect on AI perception. Cultural backgrounds’ effect on technology readiness. Methodology. Mixed method approach overview. Population and target audience. Survey creation. Identification of the research objectives. Steps for the analysis of survey results. Interviews structure. Steps for the analysis of the interviews’ results. Results of the study. Results of the survey. Results of the interviews. Discussion. Role of AI tools in participants’ academic path. Students’ perception and opinions on AI tools. Limitations and future directions. Sample selection and convenience sampling. Self-selection bias. Social desirability answer bias. Fatigue. Common method bias. Survey scales’ translation, structure and results. Assumptions checks. Time limitations. Other external factors’ influence
References
Bibliografia: pp. 92-101.
Thesis Type: | Master's Degree Thesis |
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Institution: | Luiss Guido Carli |
Degree Program: | Master's Degree Programs > Master's Degree Program in Strategic Management Digital (LM-77) |
Chair: | Strategic human resource management |
Thesis Supervisor: | Silveira Reis, Rosana |
Thesis Co-Supervisor: | Mascia, Daniele |
Academic Year: | 2023/2024 |
Session: | Autumn |
Deposited by: | Alessandro Perfetti |
Date Deposited: | 22 May 2025 09:28 |
Last Modified: | 22 May 2025 09:28 |
URI: | https://tesi.luiss.it/id/eprint/42189 |
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