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Woo, Sang Eun, Ed.; Tay, Louis, Ed.; Proctor, Robert W., Ed. – APA Books, 2020
Technological advances have led to an abundance of widely available data on every aspect of life today. Psychologists today have more information than ever before on human cognition, emotion, attitudes, and behavior. "Big Data in Psychological Research" addresses the opportunities and challenges that this data presents to psychological…
Descriptors: Psychological Studies, Research Design, Data Collection, Best Practices
Brandon, Esther – Change: The Magazine of Higher Learning, 2021
This article describes a 6-week module course called Just Google It! that the author developed and teaches each fall semester. Students who take the course explore personal data collection by private companies, search algorithms, identify implicit bias in the results, and learn the best recommended privacy and security practices. At the end of the…
Descriptors: Technological Literacy, Course Descriptions, Data Collection, Corporations
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
Privacy Technical Assistance Center, 2016
In February 2014, the Privacy Technical Assistance Center (PTAC) issued guidance titled "Protecting Student Privacy While Using Online Educational Services: Requirements and Best Practices." This Model Terms of Service document is intended to further assist schools and school districts in implementing that guidance. In a traditional…
Descriptors: Privacy, Student Records, Contracts, Educational Legislation
National Forum on Education Statistics, 2019
Educators employ different methods of teaching and learning to help their students succeed. One such method is personalized learning, which aims to tailor instruction to the needs, talents, and skills of each individual learner. Rapid advances in technology platforms and digital content over the last decade have enabled more widespread use of…
Descriptors: Individualized Instruction, Data Use, School Districts, Data Collection
Vance, Amelia – State Education Standard, 2016
Oklahoma's Student Data Accessibility, Transparency, and Accountability Act (known as the Student DATA Act) arose just as privacy concerns about student data were beginning to surface. According to Linnette Attai, founder of education technology compliance consultancy PlayWell LLC, "When this climate of data privacy first emerged in its…
Descriptors: Student Records, Information Security, Privacy, Laws
Forum Guide to Alternative Measures of Socioeconomic Status in Education Data Systems. NFES 2015-158
National Forum on Education Statistics, 2015
The goal of this document is to provide relevant information to the education community as it considers alternatives to free- and reduced-price meal (FRP) eligibility data as a proxy for individual student and family socioeconomic status (SES). It provides "encyclopedia-type" entries for eight different alternative SES measures and, as…
Descriptors: Alternative Assessment, Socioeconomic Status, Lunch Programs, Eligibility
OECD Publishing, 2014
The Programme for International Assessment of Adult Competencies (PIAAC) will establish technical standards and guidelines to ensure that the survey design and implementation processes of PIAAC yield high-quality and internationally comparable data. This document provides a revised version of the technical standards and guidelines originally…
Descriptors: Adults, International Assessment, Adult Literacy, Competence
Data Quality Campaign, 2010
State education data systems have often been described as data rich but information poor. Historically, these systems were created for compliance purposes and, therefore, designed and managed as information technology projects, but a culture change is under way. Educators and other stakeholders are beginning to value data as a tool to inform…
Descriptors: Information Technology, Information Needs, Stakeholders, Data Collection