This paper examines the use of AI-driven surveillance technologies in higher education, with a focus on the academic surveillance of students. We begin with an introduction highlighting and exploring the issues related to these tools as used in academia, and then we walk readers through a hypothetical week in the life of a student in university, highlighting applications of AI-driven surveillance technology that are increasingly widespread in higher education in North America. We finish with a reflection on the narrative and suggest some considerations for institutions adopting these types of technologies.
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Stamford Int Univ, Grad Sch, Bangkok, Thailand
Zhengzhou Technol & Business Univ, Sch Humanities & Law, Zhengzhou, Henan, Peoples R ChinaStamford Int Univ, Grad Sch, Bangkok, Thailand
Fan, Mengke
Irawan, Nico
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Stamford Int Univ, Grad Sch, Bangkok, ThailandStamford Int Univ, Grad Sch, Bangkok, Thailand
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Univ Appl Sci Emden Leer, Fac Business Studies, Emden, GermanyUniv Appl Sci Emden Leer, Fac Business Studies, Emden, Germany
Schoen, Eva-Maria
Neumann, Michael
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Univ Appl Sci & Arts Hannover, Fac Business & Comp Sci, Dept Business Informat Syst, Hannover, GermanyUniv Appl Sci Emden Leer, Fac Business Studies, Emden, Germany
Neumann, Michael
Hofmann-Stoelting, Christina
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Univ Appl Sci HAW Hamburg, Fac Business & Social Sci, Dept Business, Hamburg, GermanyUniv Appl Sci Emden Leer, Fac Business Studies, Emden, Germany
Hofmann-Stoelting, Christina
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Baeza-Yates, Ricardo
Rauschenberger, Maria
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Univ Appl Sci Emden Leer, Fac Technol, Emden, GermanyUniv Appl Sci Emden Leer, Fac Business Studies, Emden, Germany