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Jennifer Kahn; Shiyan Jiang – Information and Learning Sciences, 2024
Purpose: While designing personally meaningful activities with data technologies can support the development of data literacies, this paper aims to focuses on the overlooked aspect of how learners navigate tensions between personal experiences and data trends. Design/methodology/approach: The authors report on an analysis of three student cases…
Descriptors: Visual Aids, Trend Analysis, Data Science, Secondary School Students
Link, Michael – Quality Assurance in Education: An International Perspective, 2018
Purpose: Researchers now have more ways than ever before to capture information about groups of interest. In many areas, these are augmenting traditional survey approaches -- in others, new methods are potential replacements. This paper aims to explore three key trends: use of nonprobability samples, mobile data collection and administrative and…
Descriptors: Sampling, Data Collection, Trend Analysis, Data
Shondra Loggins Clay – International Journal of Disability, Development and Education, 2024
The purpose of this paper is to explore 10-year trends in the use of Assistive Technology (AT). Using 2006 and 2015 Behavioral Risk Factor Surveillance System (BRFSS) data, univariate analysis were performed, and the rate of change was calculated. In both 2006 and 2015 data, a higher per cent of Blacks were using AT compared to Whites and…
Descriptors: Assistive Technology, Racial Differences, Gender Differences, Individual Characteristics
Data Quality Campaign, 2021
Data is a critical part of policy conversations in every state. This briefing book is meant to bring the reader up to speed on 12 of the most pressing topics about the schools and postsecondary and workforce options in each state: (1) Student data helps improve student achievement; (2) Postsecondary data provides insights about students, schools,…
Descriptors: Educational Policy, Labor Force, Data, Schools
Sachse, Karoline A.; Mahler, Nicole; Pohl, Steffi – Educational and Psychological Measurement, 2019
Mechanisms causing item nonresponses in large-scale assessments are often said to be nonignorable. Parameter estimates can be biased if nonignorable missing data mechanisms are not adequately modeled. In trend analyses, it is plausible for the missing data mechanism and the percentage of missing values to change over time. In this article, we…
Descriptors: International Assessment, Response Style (Tests), Achievement Tests, Foreign Countries
Kathe Pelletier; Mark McCormack; Nicole Muscanell; Jamie Reeves; Jenay Robert; Nichole Arbino – EDUCAUSE, 2024
In the denouement of the COVID-19 pandemic, talk of a return to "normalcy" in higher education belies the great challenges and ongoing disruptions that yet lie ahead for many institutions. Public perceptions of the value of postsecondary education continue their downward slide, placing institutions in the position of having to…
Descriptors: Trend Analysis, Technology Uses in Education, Educational Technology, Artificial Intelligence
Vermont Agency of Education, 2017
The Summary of the Annual Statistical Report of Schools (SASRS) report provides Local Education Agencies (LEAs) and other interested parties the data submitted to the National Center for Education Statistics (NCES) by the Agency of Education. Consequently, data in SASRS are organized according to federal definitions. NCES uses this information to…
Descriptors: Annual Reports, School Districts, School Statistics, Income
Huff-Eibl, Robyn; Miller-Wells, John; Begay, Wendy – Journal of Access Services, 2014
This article describes the process and role frontline access and public service staff play in needs assessment and evaluation of user services, specifically in understanding the voice of the customer. Information includes how the University of Arizona Libraries have incorporated daily data collection into the strategic planning process, resources…
Descriptors: Library Services, Library Development, Decision Making, Data
Vermont Agency of Education, 2016
The Summary of the Annual Statistical Report of Schools (SASRS) report provides Local Education Agencies (LEAs) and other interested parties the data submitted to the National Center for Education Statistics (NCES) by the Agency of Education. Consequently, data in SASRS are organized according to federal definitions. NCES uses this information to…
Descriptors: Annual Reports, School Districts, School Statistics, Income
Vermont Agency of Education, 2015
The Summary of the Annual Statistical Report of Schools (SASRS) report provides Local Education Agencies (LEAs) and other interested parties the data submitted to the National Center for Education Statistics (NCES) by the Agency of Education. Consequently, data in SASRS are organized according to federal definitions. NCES uses this information to…
Descriptors: Annual Reports, School Statistics, School Districts, Income
Kaddouri, Abdelaaziz – ProQuest LLC, 2011
Current data mining (DM) technology is not domain-specific and therefore rarely generates reliable, business actionable knowledge that can be used to improve the effectiveness of the decision-making process in the banking industry. DM is mainly an autonomous, data-driven process with little focus on domain expertise, constraints, or requirements…
Descriptors: Expertise, Banking, Trend Analysis, Data
Molnar, Alex; Boninger, Faith – National Education Policy Center, 2015
Computer technology has made it possible to aggregate, collate, analyze, and store massive amounts of information about students. School districts and private companies that sell their services to the education market now regularly collect such information, raising significant issues about the privacy rights of students. Most school districts lack…
Descriptors: Privacy, Information Security, Data, Student Records
Hamblin, David J.; Phoenix, David A. – Journal of Higher Education Policy and Management, 2012
There are increasing demands for higher levels of data assurance in higher education. This paper explores some of the drivers for this trend, and then explains what stakeholders mean by the concept of data assurance, since this has not been well defined previously. The paper captures insights from existing literature, stakeholders, auditors, and…
Descriptors: Higher Education, Educational Technology, Stakeholders, Quality Assurance
National Center on Response to Intervention, 2013
Progress monitoring assessment is one of the four essential components of Response to Intervention (RTI), as defined by the National Center on Response to Intervention (NCRTI). Progress monitoring data allow teachers to evaluate the academic performance of students over time, quantify rates of improvement or responsiveness to instruction, and…
Descriptors: Progress Monitoring, Graphs, Curriculum Based Assessment, Decision Making
Keller, Kenneth H. – Geography Teacher, 2012
This lesson is designed as a lab assignment for Advanced Placement (AP) Human Geography students wherein they use the popular Gapminder web site to compare levels of development in countries from different world regions. For this lesson, it is important for the teacher to practice with Gapminder before giving the assignment to students. (Contains…
Descriptors: Advanced Placement, Human Geography, Data, Correlation