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Gould, Robert; Bargagliotti, Anna; Johnson, Terri – Statistics Education Research Journal, 2017
Participatory sensing is a data collection method in which communities of people collect and share data to investigate large-scale processes. These data have many features often associated with the big data paradigm: they are rich and multivariate, include non-numeric data, and are collected as determined by an algorithm rather than by traditional…
Descriptors: Secondary School Teachers, Logical Thinking, Data Collection, Data
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Walker, Kristen L.; Moran, Nora – Journal of Marketing Education, 2019
The marketing field is undergoing dramatic shifts in the digital age. The increasing reliance on, collection, and use of data enabled by technological innovations requires teaching the responsible use of data for personalization, and marketing educators play a critical role. Students, universities, accrediting agencies, and employers demand…
Descriptors: Data Use, Social Responsibility, Consumer Economics, Business Administration Education
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
Association for Institutional Research, 2018
Higher education institutions in the United States have collected and analyzed data for decades. From mandatory reporting for state and federal compliance to ad hoc reporting for internal and external stakeholders, there are myriad business purposes for which administrators, staff, and faculty routinely gather data. As more colleges and…
Descriptors: Colleges, Data Collection, Data Analysis, Strategic Planning
Gosa, Kathy; Huennekens, Bill – Center for the Integration of IDEA Data, 2015
This brief provides a definition of an integrated data system, identifies who would benefit from the information provided by an integrated data system, and examines the challenges and costs associated with data integration, as well as potential benefits to creating an integrated data system. [The Center for the Integration of IDEA Data (CIID) is…
Descriptors: Information Management, Database Management Systems, Databases, Decision Making
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Minamizaki, Noriko – International Journal of Learning and Change, 2017
Product development of Japanese companies has changed greatly from the post-war revival period, when it was promoted mainly to provide low-cost, high-quality products. In recent years, it has become necessary to develop products and services that correspond to social issues. Research and development has shifted from a technological basis to a…
Descriptors: Strategic Planning, Research and Development, Material Development, Manufacturing
Li, Weifeng – ProQuest LLC, 2017
Social media analytics is a critical research area spawned by the increasing availability of rich and abundant online user-generated content. So far, social media analytics has had a profound impact on organizational decision making in many aspects, including product and service design, market segmentation, customer relationship management, and…
Descriptors: Social Media, Information Security, Role, Crime
Huebner, Richard A. – ProQuest LLC, 2017
The ubiquity of data in various forms has fueled the need for advanced data-mining techniques within organizations. The advent of data mining methods used to uncover hidden nuggets of information buried within large data sets has also fueled the need for determining how these unique projects can be successful. There are many challenges associated…
Descriptors: Data Analysis, Data Collection, Information Retrieval, Surveys
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Markant, Douglas B.; Settles, Burr; Gureckis, Todd M. – Cognitive Science, 2016
Collecting (or "sampling") information that one expects to be useful is a powerful way to facilitate learning. However, relatively little is known about how people decide which information is worth sampling over the course of learning. We describe several alternative models of how people might decide to collect a piece of information…
Descriptors: Information Seeking, Search Strategies, Independent Study, Active Learning
Center on Standards and Assessments Implementation, 2018
The recommendations in this brief create a framework for using data effectively to make instructional decisions. The availability of student-level data for educators has pushed forward the movement to strengthen the role of data to guide instruction and improve student learning. While improvements in technology and assessments, as well as recent…
Descriptors: Student Evaluation, Information Utilization, Data Collection, Data Analysis
Louisiana Department of Education, 2018
Data is a crucial component in educational success. It gives educators the power to address student needs, study what strategies work, and make necessary changes so that every student has the greatest opportunity. Today, educators, parents, and students have access to more data than ever before and have access to more technology tools to…
Descriptors: Information Management, Privacy, Student Records, Standards
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Spector, J. Michael – Educational Technology Research and Development, 2016
This special issue of "ETR&D" is devoted to ethics in the broad domain of educational technology. Many ethical issues arise involving the study and use of educational technologies. A well-known issue involves the digital divide and the degree to which the introduction of new technologies is increasing the digital divide and…
Descriptors: Ethics, Data Collection, Data Analysis, Educational Technology
Annie E. Casey Foundation, 2018
"Fostering Youth Transitions" is a state-by-state data compilation designed to show state policymakers and other key stakeholders how young people are faring as they move from foster care to adulthood. The report shows the clear need for better policies and practices to give young people in foster care the opportunity to have brighter…
Descriptors: Foster Care, Young Adults, Transitional Programs, Data
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Filderman, Marissa J.; Austin, Christy R.; Toste, Jessica R. – Intervention in School and Clinic, 2019
The process of implementing intensive reading interventions using data-based decision-making (DBDM) becomes increasingly challenging as students move into the secondary grades and reading tasks correspondingly become more complex. This article provides teachers with guidelines to support effective implementation of DBDM for students with or at…
Descriptors: Data Use, Reading Difficulties, At Risk Students, Secondary School Teachers
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Kristensen, Niels Nørgaard; Solhaug, Trond – Journal of Social Science Education, 2017
Purpose: This article analyses what characterises first time voters' self-reflections on party choice as they use voter advice applications. Method: This study is based on interviews of 28 Norwegian students (age 18-20) preparing themselves for their first election. Findings: Finding a party to vote for is primarily characterized by a process of…
Descriptors: Foreign Countries, College Students, Voting, Novices
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