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Download full textLee, Hakeoung Hannah; Gargroetzi, Emma C. – Journal of Learning Analytics, 2023
Data-driven learning analytics (LA) exploits artificial intelligence, data-mining, and emerging technologies, rapidly expanding the collection and uses of learner data. Considerations of potential harm and ethical implications have not kept pace, raising concerns about ethical and privacy issues (Holstein & Doroudi, 2019; Prinsloo & Slade,…
Descriptors: Learning Analytics, Mentors, Ethics, Responsibility
Direct linkJohanes, Petr; Thille, Candace – British Journal of Educational Technology, 2019
Education and education research are experiencing increased digitization and datafication, partly thanks to the rise in popularity of massively open online courses (MOOCs). The infrastructures that collect, store and analyse the resulting big data have received critical scrutiny from sociological, epistemological, ethical and analytical…
Descriptors: Data Collection, Learning Analytics, Online Courses, Higher Education
Montse Guitert Catasús; Teresa Romeu Fontanillas; Juliana E. Raffaghelli; Juan Pedro Cerro Martínez – Journal of Learning Analytics, 2025
This article systematically reviews the role of learning analytics (LA) in collaborative learning, particularly exploring how it can empower both teachers and students. Based on the analysis of 87 articles, selected by adopting the PRISMA workflow, the study discusses the intersection of LA with collaborative learning (CL), emphasizing the…
Descriptors: Learning Analytics, Teacher Empowerment, Student Empowerment, Cooperative Learning
Haarman, Susan – Philosophical Studies in Education, 2021
In this article, Susan Haarman discusses the ways in which datafication technologies such as Big Data and algorithms have the potential to either challenge or exacerbate what Miranda Fricker calls epistemic injustice. She briefly defines epistemic injustice using Fricker's subsets of testimonial and hermeneutical injustice before moving to the…
Descriptors: Data Analysis, Hermeneutics, Activism, Story Telling
Victor Manuel Corza-Vargas; Roberto Martinez-Maldonado; Boris Escalante-Ramirez; Jimena Olveres – Journal of Learning Analytics, 2024
While teachers often monitor and adjust their learning design based on students' emotional states in physical classrooms, synchronous online environments often limit their ability to perceive the emotional climate of the class. Drawing from the concept of social translucence, it is suggested that making students' emotional states…
Descriptors: Foreign Countries, Undergraduate Students, Privacy, Cultural Awareness
Nyland, Rob; Croft, Benjamin; Jung, Eulho – Online Learning, 2021
Learning analytics is a recent innovation that holds promise for improving retention in fully online programs. However, only a few case studies exist to show models for and outcomes of the implementation of learning analytics systems. This paper reports on a learning analytics implementation in a fully online, multidisciplinary program designed…
Descriptors: Pilot Projects, Learning Analytics, Intervention, Barriers
