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Data Quality Campaign, 2022
Each year, state legislators craft new policies that drive data use across their states, and as part of a comprehensive review of state education data legislation, the Data Quality Campaign (DQC) keeps track. In 2022, state legislators introduced 131 bills in 35 states--42 of which became law in 17 states-- that would govern the use of data along…
Descriptors: Privacy, State Legislation, Student Records, Confidentiality
Foundation for Excellence in Education (ExcelinEd), 2017
The effective use of student data is essential for improving student outcomes and equipping educators with the information they need to help every student remain on a path to educational success. Student data can help teachers personalize and customize instruction, equip parents and students with information to make informed educational choices,…
Descriptors: Student Records, Privacy, Information Security, Information Utilization
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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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Liu, Sanya; Ni, Cheng; Liu, Zhi; Peng, Xian; Cheng, Hercy N. H. – International Journal of Distance Education Technologies, 2017
Nowadays, Massive Open Online Courses (MOOCs) have obtained a rapid development and drawn much attention from the areas of learning analytics and artificial intelligence. There are lots of unstructured data being generated in online reviews area. The learning behavioral data become more and more diverse, and they prompt the emergence of big data…
Descriptors: Online Courses, Student Records, Learning Strategies, Cognitive Style
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
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Adejo, Olugbenga; Connolly, Thomas – Journal of Education and Practice, 2017
The increase in education data and advance in technology are bringing about enhanced teaching and learning methodology. The emerging field of Learning Analytics (LA) continues to seek ways to improve the different methods of gathering, analysing, managing and presenting learners' data with the sole aim of using it to improve the student learning…
Descriptors: Higher Education, Program Implementation, Information Utilization, Evidence Based Practice
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Rankin, Jenny Grant – Universal Journal of Educational Research, 2016
Most data-informed decision-making in education is undermined by flawed interpretations. Educator-driven interventions to improve data use are beneficial but not omnipotent, as data misunderstandings persist at schools and school districts commended for ideal data use support. Meanwhile, most data systems and reports display figures without…
Descriptors: Evidence Based Practice, Data Interpretation, Information Utilization, Standards
Armstrong, John – State Higher Education Executive Officers, 2016
Analysis of student-level data to inform policy and promote student success is a core function of executive higher education agencies. Postsecondary data systems have expanded their collection of data elements for use by policymakers, institutional staff, and the general public. The State Higher Education Executive Officers association (SHEEO), as…
Descriptors: Data Collection, Decision Making, Higher Education, Information Utilization
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Charleer, Sven; Klerkx, Joris; Duval, Erik – Journal of Learning Analytics, 2014
This article explores how information visualization techniques can be applied to learning analytics data to help teachers and students deal with the abundance of learner traces. We also investigate how the affordances of large interactive surfaces can facilitate a collaborative sense-making environment for multiple students and teachers to explore…
Descriptors: Information Management, Information Utilization, Student Records, Progress Monitoring
Swail, Watson Scott; Fung-Angarita, Maly – Educational Policy Institute, 2018
The issue of student retention and graduation from postsecondary institutions has grown in stature over the past decade. While the last 40 years of federal and state policies have focused largely on access to college, there is now a very real interest in not only getting students into college but also helping them earn baccalaureate and other…
Descriptors: Data Collection, Postsecondary Education, College Students, School Holding Power
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Smith, Rebecca – Discourse: Studies in the Cultural Politics of Education, 2017
Using document analysis, this paper examines the historical emergence of the quantified child, revealing how the collection and use of data has become normalized through legitimizing discourses. First, following in the traditions of Foucault's genealogy and studies examining the sociology of numbers, this paper traces the evolution of data…
Descriptors: Educational History, Educational Trends, Student Records, Statistical Data
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Svinicki, Marilla D.; Williams, Kyle; Rackley, Kadie; Sanders, Anke J. Z.; Pine, Lisa; Stewart, Julie – International Journal for the Scholarship of Teaching and Learning, 2016
Much is being said in education about the value of adopting data-based or analytics approaches to instructional improvement. One important group of stakeholders in this effort is the faculty. "In many cases, the key constituency group is faculty, whose powerful voice and genuine participation often determine the success or failure of…
Descriptors: Instructional Improvement, Performance Factors, Student Records, Information Utilization
Sugarman, Julie – Migration Policy Institute, 2018
In recent years, education data have become both more easily accessible and more important than ever to decisions about K-12 policies and practice. Under the "Every Student Succeeds Act" (ESSA), states are required to publish data on how students, including English Learners (ELs), are performing in areas such as reading, math, and…
Descriptors: English Language Learners, Data Collection, Data Analysis, Student Characteristics
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Prinsloo, Paul; Slade, Sharon – Journal of Learning Analytics, 2016
In light of increasing concerns about surveillance, higher education institutions (HEIs) cannot afford a simple paternalistic approach to student data. Very few HEIs have regulatory frameworks in place and/or share information with students regarding the scope of data that may be collected, analyzed, used, and shared. It is clear from literature…
Descriptors: Data Collection, Data Analysis, Educational Research, Information Security
Baker, Ryan; Twyman, Janet S. – Center on Innovations in Learning, Temple University, 2016
This field report is the ninth in a series produced by the Center on Innovations in Learning's League of Innovators. The series describes, discusses, and analyzes policies and practices that enable personalization in education. This report introduces sessions from the "Conversations with Innovators" event held at Temple University, June…
Descriptors: Information Technology, Technology Uses in Education, Technology Integration, Educational Improvement
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