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Tal Soffer; Anat Cohen – Australasian Journal of Educational Technology, 2024
The rapid recent use of learning analytics (LA) in higher education, specifically during the COVID-19 pandemic, allows the monitoring of users' behavior while learning. Using LA may promote students' learning outcomes but also intrude into their privacy. This study aimed to explore students' behaviour and perceptions towards privacy and data…
Descriptors: Privacy, Educational Practices, College Students, Student Attitudes
LeBlanc, Robert Jean; Aguilera, Earl; Burriss, Sarah; de Roock, Roberto; Fassbender, Will; Monea, Bethany; Nichols, T. Philip; Pandya, Jessica Zacher; Robinson, Brad; Smith, Anna; Stornaiuolo, Amy – National Council of Teachers of English, 2023
A digital platform is a networked infrastructure that allows people to engage in various kinds of interactions: social, economic, political, educational. Digital platforms can play a fundamental part of today's English language arts (ELA) classroom. Students read, write, view, connect, and interact with, on, and through a kaleidoscope of digital…
Descriptors: Learning Management Systems, Language Arts, English Instruction, Educational Technology
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Kitto, Kirsty; Knight, Simon – British Journal of Educational Technology, 2019
Artificial intelligence and data analysis (AIDA) are increasingly entering the field of education. Within this context, the subfield of learning analytics (LA) has, since its inception, had a strong emphasis upon ethics, with numerous checklists and frameworks proposed to ensure that student privacy is respected and potential harms avoided. Here,…
Descriptors: Ethics, Learning Analytics, Artificial Intelligence, Data Analysis
State Educational Technology Directors Association, 2021
Data modernization and security practices allow educational leaders to provide accurate, secure, and timely data that can be securely exchanged, shared, and connected in order to provide instant understanding of school performance, student attendance, academic performance, or funding from multiple sources. This matters because: (1) Data…
Descriptors: Data, Information Security, Student Records, Learning Analytics
Bussey, Karen; Dancy, Kim; Voight, Mamie – Institute for Higher Education Policy, 2019
Accurately evaluating what works -- and what doesn't -- to improve student progression through higher education requires the robust use of reliable data. States play a pivotal role in compiling and using data to empower student choice, spur continuous institutional and system improvement, and develop evidence-based solutions that promote college…
Descriptors: Postsecondary Education, Evidence Based Practice, Data Collection, Data Use