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Clayton, Matthew; Halliday, Daniel – Theory and Research in Education, 2017
This article develops a perspective on big data in education, drawing on a broadly liberal conception of education's primary purpose. We focus especially on the rise of so-called learning analytics and the associated rise of digitization, which we evaluate according to the liberal view that education should seek to cultivate individuality and…
Descriptors: Data Analysis, Data Collection, Educational Research, Civics
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Schouten, Gina – Theory and Research in Education, 2017
It is treated as a truism that teaching well requires "meeting students where they are". Data enable us to know better where that is. Data can improve instructional practice by informing predictions about which pedagogies will be most successful for which students, and it can improve advising practice by informing predictions about which…
Descriptors: Data Analysis, Data Collection, Information Utilization, Higher Education
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Ben Shahar, Tammy Harel – Theory and Research in Education, 2017
This article examines the effects of incorporating information and communication technologies in schools in terms of distributive justice. To do so, four issues that are central to educational justice are discussed: scarcity of resources, the positional nature of education, peer effects, and biases in educational decision-making. The discussion…
Descriptors: Equal Education, Information Technology, Data Analysis, Data Collection
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Reidenberg, Joel R.; Schaub, Florian – Theory and Research in Education, 2018
Education, Big Data, and student privacy are a combustible mix. The improvement of education and the protection of student privacy are key societal values. Big Data and Learning Analytics offer the promise of unlocking insights to improving education through large-scale empirical analysis of data generated from student information and student…
Descriptors: Data Collection, Information Security, Student Records, Privacy
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Zeide, Elana; Nissenbaum, Helen – Theory and Research in Education, 2018
The current debate about student privacy issues raised by education technology focuses on how schools information with private vendors. It neglects a related but different trend, namely, the rise of online learning platforms offering learning experiences and credentials directly to users. These Massive Open Online Courses (MOOCs) and Virtual…
Descriptors: Online Courses, Large Group Instruction, Privacy, Educational Technology
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Dishon, Gideon – Theory and Research in Education, 2017
Personalized learning has become the most notable application of big data in primary and secondary schools in the United States. The combination of big data and adaptive technological platforms is heralded as a revolution that could transform education, overcoming the outdated classroom model, and realizing the progressive vision of…
Descriptors: Data Collection, Data Analysis, Information Utilization, Individualized Instruction
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Lynch, Collin F. – Theory and Research in Education, 2017
Big Data can radically transform education by enabling personalized learning, deep student modeling, and true longitudinal studies that compare changes across classrooms, regions, and years. With these promises, however, come risks to individual privacy and educational validity, along with deep policy and ethical issues. Education is largely a…
Descriptors: Data Analysis, Data Collection, Privacy, Evaluation Methods