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Journal articles on the topic 'Student surveillance'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Kumar, Priya C., Jessica Vitak, Marshini Chetty, and Tamara L. Clegg. "The Platformization of the Classroom: Teachers as Surveillant Consumers." Surveillance & Society 17, no. 1/2 (2019): 145–52. http://dx.doi.org/10.24908/ss.v17i1/2.12926.

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Technology platforms, including learning management systems and monitoring tools, have taken root in schools. While seen as bringing efficiency or innovation into classrooms, they also offer greater capacities for surveillance. Drawing on findings from focus groups with teachers in the US, we explore how teachers’ use of technology platforms produces surveillance. We argue that this positions teachers as surveillant consumers who use monitoring as a way to fulfill their responsibilities to students. We portray two configurations of monitoring in the classroom: tracking student learning and kee

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Hope, Andrew. "Student resistance to the surveillance curriculum." International Studies in Sociology of Education 20, no. 4 (2010): 319–34. http://dx.doi.org/10.1080/09620214.2010.530857.

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Schaub, Jason, and Roger Dalrymple. "Surveillance and silence." Journal of Practice Teaching and Learning 11, no. 3 (2013): 79–97. http://dx.doi.org/10.1921/jpts.v11i3.279.

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Studies to date have highlighted a number of key factors in the assessment of difficult social work placements including the need for adequate professional formation; communication; the changing social work education framework; and the influence of the wider social work context. Factors less widely examined are the perceptions of some practice educators that the assessment of placement students operates in a wider context of surveillance and scrutiny by a range of stakeholders. We argue that such perceptions of surveillance can cause a discursive anxiety for practice educators and can inhibit

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Burke, Colin, and Cinnamon Bloss. "Social Media Surveillance in Schools: Rethinking Public Health Interventions in the Digital Age." Journal of Medical Internet Research 22, no. 11 (2020): e22612. http://dx.doi.org/10.2196/22612.

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Growing public concern about student safety and well-being has led schools and school districts to contract private companies to implement new technologies that target and surveil students’ activity on social media websites. Although innovative solutions for addressing student safety and health are needed, it is unclear whether the implementation of social media surveillance in schools is an effective strategy. Currently, there is no evidence to support the claims made by social media surveillance companies, as well as the schools that hire them, that these technologies can address the myriad

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Parnther, Ceceilia, and Sarah Elaine Eaton. "Issues and Problems in Educational Surveillance and Proctoring Technologies." Canadian Perspectives on Academic Integrity 4, no. 2 (2021): 20–21. http://dx.doi.org/10.55016/ojs/cpai.v4i2.74157.

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Introduction. The increase of online course offerings due to COVID 19 has substantially increased eproctoring technology used to streamline classroom management and assessment. Faculty and students are increasingly concerned about the requirements of these systems. This presentation will: Explore the experiences of eproctoring internalized by college. Categorize this population's experiences and concerns in the context of eproctoring and surveillance. To do so, the following research questions are considered: How is eproctoring described in scholarly literature, social media, and student print

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Adith, Narayanan, Santhosh Akash, Biju Alen, Madathil Arjun, and I.K. Rijin. "Student Surveillance System: An AI-Powered Approach for Campus Monitoring." Journal of Advancement in Parallel Computing 8, no. 3 (2025): 22–31. https://doi.org/10.5281/zenodo.15542135.

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<em>Educational institutions should implement a strong monitoring mechanism to ensure that their dress code and campus movement orders are adhered to. Modern influence technologies such as the Retina Face algorithm for face detection, face recognition through Dlib, ID card detection through YOLOv5, and shirt tuck analysis using a ResNet-based model play a critical role in system consideration. Alongside this, student tracking would be done using the SORT algorithm; abandonment comes from real-time object detection data to map student movement paths. It will continuously monitor and help identi

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Selwyn, Neil, and Bronwyn Cumbo. "“We’ve Tried to Keep the Beast on a Leash”: The Domestication of Digital Classroom Surveillance." Surveillance & Society 22, no. 2 (2024): 88–103. http://dx.doi.org/10.24908/ss.v22i2.15791.

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Students’ laptops are subject to growing digital forms of surveillance by their schools. Following the theoretical tradition of media “domestication,” this paper examines the incorporation of Student Activity Monitoring Software (SAMS) into the everyday routines of one Australian secondary school. Drawing on two years of fieldwork, the paper details how SAMS was broadly accepted by school staff and students as complementing—rather than challenging—the moral economy of the school. With school leaders keen to increase student surveillance without being seen to diminish teacher professionalism, t

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Chulathep, Silapanuntakul. "Behavior of Face Mask Wearing and Disposal during the Surveillance of Endemic COVID-19: A Study in Middle and High School Students in Thailand." International Journal of Healthcare Sciences 10, no. 2 (2023): 191–98. https://doi.org/10.5281/zenodo.7546799.

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<strong>Abstract:</strong> Background: The outbreak of COVID-19 disease has now been announced for the surveillance in the endemic period.   Wearing the face mask is still the mandate of the student levels in Thailand. Purpose: The objective of the study was conducted to investigate the behavior of face mask wearing and the disposal during the surveillance of covid-19 in the middle and high school students in Thailand. Methodology: The study was carried out using a cross sectional online survey among the middle (Grade 7-9) and high school (Grade 10-12) students. A total of 188 studen

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Ross, Jen, and Hamish Macleod. "Surveillance, (dis)trust and teaching with plagiarism detection technology." Proceedings of the International Conference on Networked Learning 11 (May 14, 2018): 235–42. http://dx.doi.org/10.54337/nlc.v11.8760.

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Key dimensions of digital education practices are shaped by instrumental goals such as quality, efficiency and transparency. These goals are often addressed through high-level technology decisions which should be understood in terms of visibility and surveillance. Monitoring technology is deployed for multiple purposes in the contemporary university, in contexts from learning analytics to attendance tracking. This paper is a theoretical exploration of how the technologically-mediated practice of plagiarism detection, in the context of surveillance and distrust, might affect relationships among

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Gim, U.-Ju, Jae-Jun Lee, Jeong-Hun Kim, Young-Ho Park, and Aziz Nasridinov. "An Automatic Shoplifting Detection from Surveillance Videos (Student Abstract)." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 10 (2020): 13795–96. http://dx.doi.org/10.1609/aaai.v34i10.7169.

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The use of closed circuit television (CCTV) surveillance devices is increasing every year to prevent abnormal behaviors, including shoplifting. However, damage from shoplifting is also increasing every year. Thus, there is a need for intelligent CCTV surveillance systems that ensure the integrity of shops, despite workforce shortages. In this study, we propose an automatic detection system of shoplifting behaviors from surveillance videos. Instead of extracting features from the whole frame, we use the Region of Interest (ROI) optical-flow fusion network to highlight the necessary features mor

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Swartz, Mark, and Kelly McElroy. "The “Academicon”: AI and Surveillance in Higher Education." Surveillance & Society 21, no. 3 (2023): 276–81. http://dx.doi.org/10.24908/ss.v21i3.16105.

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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

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Xie, Yunfang, Su Zhang, and Yingdi Liu. "Abnormal Behavior Recognition in Classroom Pose Estimation of College Students Based on Spatiotemporal Representation Learning." Traitement du Signal 38, no. 1 (2021): 89–95. http://dx.doi.org/10.18280/ts.380109.

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Artificial intelligence and fifth generation (5G) technology are widely adopted to evaluate the classroom poses of college students, with the help of campus video surveillance equipment. To ensure the effective learning in class, it is important to detect and intervene in abnormal behaviors like sleeping and using cellphones in time. Based on spatiotemporal representation learning, this paper presents a deep learning algorithm to evaluate classroom poses of college students. Firstly, feature engineering was adopted to mine the moving trajectories of college students, which were used to determi

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Lu, Alex Jiahong, Tawanna R. Dillahunt, Gabriela Marcu, and Mark S. Ackerman. "Data Work in Education: Enacting and Negotiating Care and Control in Teachers' Use of Data-Driven Classroom Surveillance Technology." Proceedings of the ACM on Human-Computer Interaction 5, CSCW2 (2021): 1–26. http://dx.doi.org/10.1145/3479596.

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Today, teachers have been increasingly relying on data-driven technologies to track and monitor student behavior data for classroom management. Drawing insights from interviews with 20 K--8 teachers, in this paper we unpack how teachers enacted both care and control through their data work in collecting, interpreting, and using student behavior data. In this process, teachers found themselves subject to surveilling gazes from parents, school administrators, and students. As a result, teachers had to manipulate the student behavior data to navigate the balance between presenting a professional

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Sana, Tee Mk, Raed, Katya, and Rana. "Institutional Surveillance and Policing: Documenting Student Activism at AUB." Kohl: A Journal for Body and Gender Research 4, Summer (2018): 30–42. http://dx.doi.org/10.36583/2018040105.

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Lohar Sir, Prof Anil. "Student Attentiveness Monitoring a Surveillance System for Virtual Class." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem50205.

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Abstract— With the rapid shift toward online education, maintaining student attentiveness in virtual classrooms has become increasingly critical. Existing literature demonstrates promising advancements in computer vision–based systems that analyze facial expressions, eye gaze, head pose, and affective states to estimate student engagement However, many current approaches focus narrowly on visual attention, overlooking behavioral and contextual factors that influence sustained focus. This research proposes a multi-modal attentiveness monitoring framework integrating three complementary data str

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Adorjan, Michael, and Rosemary Ricciardelli. "Youth Responses to the Surveillance School: The Bifurcation of Antagonism and Confidence in Surveillance among Teenaged Students." YOUNG 27, no. 5 (2019): 451–67. http://dx.doi.org/10.1177/1103308818821206.

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The recent rise of so-called ‘surveillance schools’ is often justified given the need to engender a safe and secure educational environment for students—a fusion of pedagogical and security motives. This article contributes knowledge regarding the attitudes and lived experiences of teenagers in response to school-based surveillance. Focus groups centre discussions on two areas: the effectiveness of policies regarding technology in the classroom as well as school-wide restrictions on Wi-Fi access and the effectiveness of surveillance technologies geared to actively monitor student online activi

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Kelley, Margaret S. "Student Perceptions of a New Campus Alcohol Policy: Linking Deterrence and Blame Attribution." Journal of Drug Issues 47, no. 3 (2017): 411–32. http://dx.doi.org/10.1177/0022042617699195.

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How do students make judgments about their future behaviors involving the use of alcohol? The present study advances deterrence theory by introducing elements of attribution theory while examining the perceived deterrent effects of a newly instituted dry policy on a college campus. A phone survey of 508 full-time undergraduate students between the ages of 18 and 26 was conducted 1 year following the ban on alcohol. Hypotheses are presented in two models and predict that deterrence (surveillance and enforcement) and blame explain intentions to violate the alcohol policy. These relationships are

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Richerme, Lauren Kapalka. "The Hidden Neoliberalism of CASEL's Social Emotional Learning Framework: Concerns for Equity." Bulletin of the Council for Research in Music Education, no. 232 (April 1, 2022): 7–25. http://dx.doi.org/10.5406/21627223.232.01.

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Abstract Social emotional learning (SEL) initiatives play an increasingly important role in American prekindergarten through 12th-grade education. Given the focus on equity by both SEL leaders and the music education community, it is important to examine how SEL initiatives might promote or inhibit equity. The purpose of this philosophical inquiry is to consider the relationship between the Collaborative for Academic, Social, and Emotional Learning (CASEL) SEL Framework and equity through the lens of neoliberalism. After examining how neoliberal practices contribute to economic and social ineq

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Pires, John Davi Dutra Canuto, Marcelo Costa Oliveira, Baldoino Fonseca dos Santos Neto, Márcio de Medeiros Ribeiro, and Rafael Sampaio de Melo Fragoso. "End-to-end automated student attendance recording system using surveillance camera." Revista Brasileira de Informática na Educação 33 (May 19, 2025): 371–93. https://doi.org/10.5753/rbie.2025.5125.

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The practice of recording and monitoring student attendance is a fundamental action in various contexts, especially in the school environment. However, due to its manual process, it often consumes a significant part of class time. This paper presents an end-to-end automated student attendance recording system utilizing classroom surveillance cameras. The system used advanced technologies such as computer vision, face recognition, and Convolutional Neural Network (CNN) techniques to streamline the attendance process and enhance the time distribution in the classroom. The study evaluates the per

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Bignoli, Callan, Sam Buechler, Deborah Caldwell, and Kelly McElroy. "Resisting Crisis Surveillance Capitalism in Academic Libraries." Canadian Journal of Academic Librarianship 7 (December 15, 2021): 1–25. http://dx.doi.org/10.33137/cjalrcbu.v7.36450.

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In this paper, we consider what we identify as crisis surveillance capitalism in higher education, drawing on the work of Naomi Klein and Shoshana Zuboff. We define crisis surveillance capitalism as the intersection of unregulated and ubiquitous data collection with the continued marginalization of vulnerable racial and social groups. Through this lens, we examine the twinned crisis narratives of student success and academic integrity and consider how the COVID-19 pandemic further enabled so-called solutions that collect massive amounts of student data with impunity. We suggest a framework of

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Song, Yuanlei, and Husaini Bin Yaacob. "Foucault's Panopticon Theory in the Design of Classroom Space and Layout: A Critical Examination and Future Prospects." International Journal of Literature and Arts Studies 1, no. 1 (2025): 37–42. https://doi.org/10.71222/bg59xy82.

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This study adopts Michel Foucault's Panopticon theory as an analytical framework to explore how the design of classroom spaces and layouts functions as a mechanism of power that profoundly influences student behavior, autonomy, and overall learning experiences. The paper begins by elucidating the core concepts of the Panopticon theory and its metaphorical operation within educational institutions, revealing how the traditional "rows of desks" classroom layout, through centralized surveillance and heightened visibility, compels students to internalize disciplinary practices — thus producing wha

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Rodriguez Tejada, Sergio. "Surveillance and student dissent: the case of the Franco dictatorship." Surveillance & Society 12, no. 4 (2014): 528–46. http://dx.doi.org/10.24908/ss.v12i4.4145.

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The rising of a powerful democratic student movement in Spain in the sixties represented a substantial stimulus to the repressive modernization of the Franco dictatorship. New containment strategies were adopted in the context of the counter-subversion and intelligence policies that the USA administration and their allies were also implementing. From this assumption, this paper analyzes the specific dynamics of surveillance on student protest, exploring the previous situation at university,the challenges introduced by the youth upheaval, the diverse responses of the establishment, the role of

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Geisel, Jayne, Hannah Warkentin, and Jessica Snow. "Ethical use of learning analytics for student support, not surveillance." Canadian Perspectives on Academic Integrity 5, no. 1 (2022): 28. http://dx.doi.org/10.55016/ojs/cpai.v5i1.75107.

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The move to online education necessitated by the COVID-19 pandemic has greatly increased institutional use of learning management systems, contributing to vast amounts of educational data, ranging from information on admissions and retention, to the minutiae of course activities. These vast amounts of learner data are collected, measured, analyzed, and reported on to understand learning, learners and the learning environment and can be defined as learning analytics (LA). LA are intended to support students and assist with their success; however, most instructors and students are unaware of how

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Mandagi, Ayik Mirayanti, Lucia Yovita Hendrati, Jayanti Dian Eka Sari, Nurul Fitriyah, Sarda Ika Devi, and Syahrul Ramadhan. "Overview of the Application Student Fatigue Surveillance at High School." Journal of Educational, Health and Community Psychology 12, no. 3 (2023): 670. http://dx.doi.org/10.12928/jehcp.v12i3.26182.

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Murumaa-Mengel, Maria, and Andra Siibak. "Teachers as nightmare readers: Estonian high-school teachers’ experiences and opinions about student-teacher interaction on Facebook." International Review of Information Ethics 21 (July 1, 2014): 35–44. http://dx.doi.org/10.29173/irie368.

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This study explored Estonian teachers’ perceptions and practices about student-teacher interaction on Facebook. Four focus group interviews with high-school teachers (n=21) revealed that educators are used to monitoring their students’ posts on Facebook and consider it their role to intervene whenever something inappropriate is posted. Teachers viewed such social media surveillance as a routine and harmless practice which does not violate students’ privacy. The participants of our study do not see any need for formal social media policies to regulate student-teacher interaction on social media

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Bin, Junchi, Choudhury A. Rahman, Shane Rogers, Shan Du, and Zheng Liu. "A Multimodal Fusion-Based LNG Detection for Monitoring Energy Facilities (Student Abstract)." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 11 (2022): 12917–18. http://dx.doi.org/10.1609/aaai.v36i11.21595.

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Fossil energy products such as liquefied natural gas (LNG) are among Canada's most important exports. Canadian engineers devote themselves to constructing visual surveillance systems for detecting potential LNG emissions in energy facilities. Beyond the previous infrared (IR) surveillance system, in this paper, a multimodal fusion-based LNG detection (MFLNGD) framework is proposed to enhance the detection quality by the integration of IR and visible (VI) cameras. Besides, a Fourier transformer is developed to fuse IR and VI features better. The experimental results suggest the effectiveness of

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Mahowald, James Bear, Sarah Winchell Lenhoff, Erica B. Edwards, and Jeremy Singer. "Chronic Absenteeism in the School-Prison Nexus." High School Journal 106, no. 4 (2023): 274–88. http://dx.doi.org/10.1353/hsj.2023.a930440.

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Abstract: Since the incorporation of student chronic absenteeism rates into state school accountability systems after the passage of the Every Student Succeeds Act , schools have adopted new practices to improve student attendance and decrease chronic absenteeism. Some of these practices borrow features from behavior management systems such as tiering students, differentiating support and consequences, and taking disciplinary action. This qualitative case study examines how attendance management practices are designed and implemented in a large urban school district and explores the empirical

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Shope, Timothy R., Khalil Chedid, Andrew N. Hashikawa, et al. "Incidence and Transmission of SARS-CoV-2 in US Child Care Centers After COVID-19 Vaccines." JAMA Network Open 6, no. 10 (2023): e2339355. http://dx.doi.org/10.1001/jamanetworkopen.2023.39355.

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ImportanceSARS-CoV-2 surveillance studies in US child care centers (CCCs) in the post–COVID-19 vaccine era are needed to provide information on incidence and transmission in this setting.ObjectiveTo characterize SARS-CoV-2 incidence and transmission in children attending CCCs (students) and their child care providers (CCPs) and household contacts.Design, Setting, and ParticipantsThis prospective surveillance cohort study was conducted from April 22, 2021, through March 31, 2022, and included 11 CCCs in 2 cities. A subset (surveillance group) of CCPs and students participated in active surveill

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Brulé, Elizabeth. "Voices From the Margins: The Regulation of Student Activism in the New Corporate University." Studies in Social Justice 9, no. 2 (2016): 159–75. http://dx.doi.org/10.26522/ssj.v9i2.1154.

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This article critically examines recent revisions to student codes of conduct in Ontario’s universities, by focusing specifically on York University. It illustrates how these policy changes have been informed by a new rights and responsibility discourse designed to reduce political conflict on campuses. Couched in terms of promoting student inclusion, fairness, and campus safety, this discourse works with managerial technologies to increase the surveillance and regulation of student political advocacy work. I argue that these changes to student codes of conduct obfuscate the ways in which corp

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Sejati, Rr Hajar Puji, Rodhiyah Mardhiyyah, Zulkhairi Zulkhairi, Nur Istiqomah, and R. Imam Budi Prasetya. "Real-time Smartphone Usage Surveillance System Based on YOLOv5." IJID (International Journal on Informatics for Development) 11, no. 2 (2023): 242–51. http://dx.doi.org/10.14421/ijid.2022.3766.

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The digital era affects students' attitudes toward utilizing applications as learning media. This phenomenon can be used to boost student achievement, but it can also have negative consequences, such as chatting while studying or cheating on school exams. To support the positive and reduce the negative impact of smartphone use, it is necessary to supervise this activity. The supervision can be done by utilizing a camera to detect a smartphone. The YOLOv5 algorithm was used, which is known for its good speed and accuracy in object detection. This smartphone detection system can be controlled, s

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Braunack-Mayer, Annette J., Jackie M. Street, Rebecca Tooher, Xiaolin Feng, and Katrine Scharling-Gamba. "Student and Staff Perspectives on the Use of Big Data in the Tertiary Education Sector: A Scoping Review and Reflection on the Ethical Issues." Review of Educational Research 90, no. 6 (2020): 788–823. http://dx.doi.org/10.3102/0034654320960213.

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While universities routinely use student data to monitor and predict student performance, there has been limited engagement with student and staff views, social and ethical issues, policy development, and ethical guidance. We reviewed peer-reviewed and grey-literature articles of 2007 to 2018 describing the perspectives of staff and students in tertiary education on the use of student-generated data in data analytics, including learning analytics. We used an ethics framework to categorize the findings. There was considerable variation but generally low awareness and understanding amongst stude

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Villanueva, Carla Irina. "To Disappear The Escuelas Normales Rurales: Political Anxieties, the Secretaría de Educación Pública, and Education Reform in Mexico in 1969." Americas 77, no. 3 (2020): 443–68. http://dx.doi.org/10.1017/tam.2020.5.

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ABSTRACTThis article analyzes a 1969 education reform in Mexico that resulted in the closure of 14 of the then 29 escuelas normales rurales (rural teacher-training colleges) and the annihilation of their internal student organizing structures. I argue that the reform was politically motivated and impelled by the anxieties produced by student politics in the Cold War era. I show also how the Secretaría de Educación Pública (SEP) participated in the authoritarian surveillance of students during the presidency of Díaz Ordaz and in a long campaign to delegitimize the Federación de Estudiantes Camp

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Shan, Songwei, Qi Tan, Yiu Chung Lau, et al. "Optimizing Global Influenza Surveillance for Locations with Deficient Data (Student Abstract)." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 11 (2022): 13045–46. http://dx.doi.org/10.1609/aaai.v36i11.21659.

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For better monitoring and controlling influenza, WHO has launched FluNet (recently integrated to FluMART) to provide a unified platform for participating countries to routinely collect influenza-related syndromic, epidemiological and virological data. However, the reported data were incomplete.We propose a novel surveillance system based on data from multiple sources to accurately assess the epidemic status of different countries, especially for those with missing surveillance data in some periods. The proposed method can automatically select a small set of reliable and informative indicators

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Miller, Cara. "The Problem with Student Surveillance: A Critical Examination of Google Drive." International Journal of Humanities Education 19, no. 2 (2021): 21–34. http://dx.doi.org/10.18848/2327-0063/cgp/v19i02/21-34.

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Mehta, Rajat. "REAL-TIME STUDENT SURVEILLANCE SYSTEM USING MACHINE LEARNING AND COMPUTER VISION." International Journal of Advanced Research in Computer Science 10, no. 4 (2019): 29–33. http://dx.doi.org/10.26483/ijarcs.v10i4.6445.

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Magzamen, Sheryl, Kathleen M. Mortimer, Adam Davis, and Ira B. Tager. "School-based asthma surveillance: A comparison of student and parental report." Pediatric Allergy and Immunology 16, no. 8 (2005): 669–78. http://dx.doi.org/10.1111/j.1399-3038.2005.00304.x.

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Li, Z., Y. Bitao, L. Tao, X. Wu, G. Dong, and X. Liu. "Analysis of school based student injury surveillance project in Shenzhen, China." Injury Prevention 16, Supplement 1 (2010): A55. http://dx.doi.org/10.1136/ip.2010.029215.199.

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Kotsopoulos, Donna. "When collaborative is not collaborative: Supporting student learning through self-surveillance." International Journal of Educational Research 49, no. 4-5 (2010): 129–40. http://dx.doi.org/10.1016/j.ijer.2010.11.002.

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Benjamin, Jason Tantra, and Widjaja Moeljono. "Automatic detection of dress-code surveillance in a university using YOLO algorithm." IAES International Journal of Artificial Intelligence (IJ-AI) 14, no. 2 (2025): 1568–75. https://doi.org/10.11591/ijai.v14.i2.pp1568-1575.

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Dress-code surveillance is a field that utilizes an object detection model to en sure that people wear the proper attire in workplaces and educational institutions. The case is the same within universities, where students and staff must adhere to campus clothing guidelines. However, campus security still enforces univer sity student clothing manually. Thus, this experiment creates an object detection model that can be used in the campus environment to detect if students are wear ing appropriate clothing. The model developed for this research has reached an f1-score of 45% with an overall 51.8%

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Samuelsson, Lars, and Niclas Lindström. "Online Surveillance and Education for Digital Competence." Athens Journal of Education 9, no. 4 (2022): 545–58. http://dx.doi.org/10.30958/aje.9-4-1.

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Digital competence has become increasingly important in modern societies and is today central to the possibility of participating on equal terms as a citizen in a contemporary democracy. Thus, it is now stressed as a crucial learning objective, nationally as well as internationally. One pervasive consequence of the digitalization of society is the facilitation of intrusive online surveillance: when we are online, we leave traces that provide useful information to companies, organizations, and individuals, who can collect, process, use, and share this information. The purpose of this article is

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Tantra, Benjamin Jason, and Moeljono Widjaja. "Automatic detection of dress-code surveillance in a university using YOLO algorithm." IAES International Journal of Artificial Intelligence (IJ-AI) 14, no. 2 (2025): 1568. https://doi.org/10.11591/ijai.v14.i2.pp1568-1575.

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<p class="p1">Dress-code surveillance is a field that utilizes an object detection model to en- sure that people wear the proper attire in workplaces and educational institutions. The case is the same within universities, where students and staff must adhere to campus clothing guidelines. However, campus security still enforces univer- sity student clothing manually. Thus, this experiment creates an object detection model that can be used in the campus environment to detect if students are wear- ing appropriate clothing. The model developed for this research has reached an f1-score of 45

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Matusov, Eugene, Ana Marjanovic-Shane, and Sohyun Meacham. "Pedagogical Voyeurism: Dialogic Critique of Documentation and Assessment of Learning." International Journal of Educational Psychology 5, no. 1 (2016): 1. http://dx.doi.org/10.17583/ijep.2016.1886.

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We challenge a common emphasis on documentation and assessment of learning for providing good education: from the mainstream of neoliberal accountability movement to the progressive Reggio Emilia schools. We develop these arguments through discussing: 1) immeasurableness of education and learning, 2) students’ ownership/authorship of education and learning. We ground our conceptualization of educational assessment in critical dialogue, in a case of a student who requested assessment of her research project, and guided her peers and the teacher in providing different aspects of this assessment.

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Kong, Deliang, Chengguo Wu, Yimin Cui, et al. "Epidemiological Characteristics and Spatiotemporal Clustering of Pulmonary Tuberculosis Among Students in Southwest China From 2016 to 2022: Analysis of Population-Based Surveillance Data." JMIR Public Health and Surveillance 10 (September 24, 2024): e64286-e64286. http://dx.doi.org/10.2196/64286.

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Abstract Background Pulmonary tuberculosis (PTB), as a respiratory infectious disease, poses significant risks of covert transmission and dissemination. The high aggregation and close contact among students in Chinese schools exacerbate the transmission risk of PTB outbreaks. Objective This study investigated the epidemiological characteristics, geographic distribution, and spatiotemporal evolution of student PTB in Chongqing, Southwest China, aiming to delineate the incidence risks and clustering patterns of PTB among students. Methods PTB case data from students monitored and reported in the

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Xing, Yi, Qi Ma, Mengjie Cui, et al. "Overview and Methods for Chinese National Surveillance on Students’ Common Diseases and Risk Factors, 2022." Future 3, no. 2 (2025): 12. https://doi.org/10.3390/future3020012.

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Child and adolescent health plays a critical role in shaping future public health and intergenerational outcomes. In China, rising rates of myopia, obesity, mental health issues, and other common conditions highlight the need for continuous monitoring. Since 2016, the Chinese National Surveillance on Students’ Common Diseases and Risk Factors (CNSSCDRF) has provided comprehensive, nationwide data on student health. By 2022, the system had expanded to nearly all counties, tracking key indicators such as vision problems, overweight/obesity, dental caries, and health-risk behaviors across multipl

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Laily, Fadilatul, and Aset Sugiana. "Kesadaran Beribadah Shalat Dhuhur Siswa Kelas X IPS dan Upaya Meningkatkannya di SMA Muhammadiyah 1 Palembang." Journal of Islamic Education Research 1, no. 02 (2020): 54–66. http://dx.doi.org/10.35719/jier.v1i02.25.

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This research is intended to describe the religious consciousness of the praying dhuhr of students and the attempt to elevate it. This method of research involves qualitative work. Research data obtained from an Islamic religious teacher and student notebooks. The data analysis technique used that classifies, combines, interprets, and concludes. The study yielded the following conclusions: 1. The religious consciousness of praying dhuhr of students X IPS class at Muhammadiyah school 1 of Palembang was divided into a) a student whose consciousness was very good/good, b) a student of sufficient

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Abourashed, Ayat, Laura Doornekamp, Santi Escartin, et al. "The Potential Role of School Citizen Science Programs in Infectious Disease Surveillance: A Critical Review." International Journal of Environmental Research and Public Health 18, no. 13 (2021): 7019. http://dx.doi.org/10.3390/ijerph18137019.

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Public involvement in science has allowed researchers to collect large-scale and real-time data and also engage citizens, so researchers are adopting citizen science (CS) in many areas. One promising appeal is student participation in CS school programs. In this literature review, we aimed to investigate which school CS programs exist in the areas of (applied) life sciences and if any projects target infectious disease surveillance. This review’s objectives are to determine success factors in terms of data quality and student engagement. After a comprehensive search in biomedical and social da

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Hyslop-Margison, Emery, and Ramonia Rochester. "Assessment or Surveillance? Panopticism and Higher Education." Philosophical Inquiry in Education 24, no. 1 (2020): 102–9. http://dx.doi.org/10.7202/1070559ar.

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In this paper, we explore Jeremy Bentham’s panopticon and consider its possible contribution to understanding more fully the impact of current assessment protocols and practices within higher education. More pointedly, we ask the following question: Are the plethora of assessment practices within higher education actually designed to improve student academic experience, or are they instead mechanisms of surveillance intended to control, dominate and invoke paranoia among university workers? In response to this question, we argue that the prevailing preoccupation with assessment in U.S. univers

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Sheik, Dr Abdul Rahiman, G. Indrani, Ch lasya, G. Namitha4, V. Hari Veera Krishna, and G. Pavan Kalyan. "A Machine Learning-Driven Drone Surveillance For Student Monitoring in Educational Institutions." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem43921.

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This project leverages advanced machine learning techniques and drone technology to enhance surveillance within academic environments. A drone equipped with a camera captures images of individuals and sends them to a machine learning model that has been pre-trained on a dataset containing personal details such as images, roll numbers, and names. The system compares the captured images with the stored data to identify individuals. If a match is detected and the person is found outside their designated classroom during class hours, the system automatically notifies the respective class teachers.

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Bruzda, Gabrielle, Fred Rawlins, Cameron Sumpter, and Harold R. Garner. "Evaluating disease outbreaks with syndromic surveillance using medical student clinical rotation patient encounter logs." Journal of Osteopathic Medicine 121, no. 2 (2021): 211–20. http://dx.doi.org/10.1515/jom-2020-0129.

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Abstract Context While the data generated by medical students at schools that require electronic patient encounter logs is primarily used to monitor their training progress, it can also be a great source of public health data. Specifically, it can be used for syndromic surveillance, a method used to analyze instantaneous health data for early detection of disease outbreaks. Objective To analyze how the International Classification of Diseases, 10th Revision (ICD-10) codes input by medical students at the Edward Via College of Osteopathic Medicine into the Clinical Rotation Evaluation and Docum

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Meulmeester, Fleur L., Eline A. Dubois, C. Krommenhoek-van Es, Peter G. M. de Jong, and Alexandra M. J. Langers. "Medical Students’ Perspectives on Online Proctoring During Remote Digital Progress Test." Medical Science Educator 31, no. 6 (2021): 1773–77. http://dx.doi.org/10.1007/s40670-021-01420-w.

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AbstractRemote teaching and assessment are essential for current education. During online examination, online proctoring is often used as a surveillance tool. Little is known about student perceptions on online proctoring. Using an online questionnaire, we found that medical students worry most about unjustified invalidation of their exam due to unstable internet connection, background noise or webcam issues, and privacy issues. It is important to be aware of these worries as they may influence test results.

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