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Rubin, Andee – Teaching Statistics: An International Journal for Teachers, 2021
The data sets used in statistics education have changed over time, from mathematically "well-behaved" ones that facilitated computation, to more context-rich sources and now, with the increasing influence of data science practices, to "found" data, often from open data sites. As data sources change, it is important for…
Descriptors: Statistics Education, Data, Teaching Methods, Data Collection
Data Quality Campaign, 2022
Five years ago, California's education data lagged far behind the systems in most other states. However, state leaders and education advocates undertook a purposeful engagement and design process to build a data system that represents the state's values and meets different stakeholders' needs. This case study on California's P-20W Cradle-to-Career…
Descriptors: Data, Data Collection, Design, Inclusion
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Arantes, Janine Aldous; Vicars, Mark – Learning, Media and Technology, 2023
In the recent Australian 2021 census, the socio-technical construct of algorithmically driven decision-making processes made LGBTQI+ data as a category of diversity, inclusion and belonging an absent presence. In this paper, we position the notion of 'data justice' in relation to the entrenchment of inequalities and exclusion of LGBTQI+ lives and…
Descriptors: Foreign Countries, Homosexuality, LGBTQ People, Data
Data Quality Campaign, 2023
Each year, state legislators introduce hundreds of bills that generate new data collections, analyses, and resources, playing a crucial role in how people access and use data. Notably, in 2023 legislators introduced and enacted bills governing cross-agency data systems--the most important step that states must take to make robust access to data…
Descriptors: Educational Legislation, Data Analysis, Data Collection, Access to Information
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Paige Kowalski – State Education Standard, 2024
Everyone who uses student information has a responsibility to maintain students' privacy and the security of their data. Ensuring student data privacy is about so much more than complying with the Family Educational Rights and Privacy Act (FERPA). While privacy must be top of mind when thinking about collecting and using personally identifiable…
Descriptors: State Boards of Education, State Agencies, Public Education, Privacy
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Mathies, Charles – New Directions for Institutional Research, 2018
Evidence-based decision-making requires access to good and reliable data. In recent years, there has been a tremendous increase of data available to institutions, from internal as well as external sources. With this increase in data and its analytics, new challenges and questions arise. One of the most pertinent of which is the ethics and best…
Descriptors: Ethics, Information Utilization, Data, Access to Information
State Educational Technology Directors Association, 2021
Data modernization and security practices allow educational leaders to provide accurate, secure, and timely data that can be securely exchanged, shared, and connected in order to provide instant understanding of school performance, student attendance, academic performance, or funding from multiple sources. This matters because: (1) Data…
Descriptors: Data, Information Security, Student Records, Learning Analytics
Haywoode, Alyssa – Phi Delta Kappan, 2018
Community schools have a long history of helping students succeed in school by addressing the problems they face outside of school. But without specific data on students and the full range of their needs, community schools cannot be as effective as they would like to be. Driven by the desire to make more data-informed decisions, the Children's Aid…
Descriptors: Community Schools, Data, Decision Making, Partnerships in Education
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Filderman, Marissa J.; Toste, Jessica R. – TEACHING Exceptional Children, 2018
Reading proficiency is fundamental to school success. However, up to 50% of students with reading disabilities are not making adequate progress. Students who demonstrate persistent and severe reading difficulties require increasingly intensive instruction individualized to meet their instructional needs Individualizing instruction with…
Descriptors: Reading Difficulties, Reading Skills, Individualized Instruction, Decision Making
Yan, Yilin – ProQuest LLC, 2018
The development in information science has enabled an explosive growth of data, which attracts more and more researchers to engage in the field of big data analytics. Noticeably, in many real-world applications, large amounts of data are imbalanced data since the events of interests occur infrequently. Classification of imbalanced data is an…
Descriptors: Information Science, Information Retrieval, Multimedia Materials, Data
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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
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
Knapp, Laura G.; Glennie, Elizabeth; Charles, Karen J. – RTI International, 2016
People providing services to schools, teachers, and students want to know whether these services are effective. With that knowledge, a project director can expand services that work well and adjust implementation of activities that are not working as expected. When finding that an innovative strategy benefits students, a project director might…
Descriptors: Data, Decision Making, Educational Improvement, Academic Achievement
Dede, Chris – Educational Technology, 2016
Data-informed instructional methods offer tremendous promise for increasing the effectiveness of teaching, learning, and schooling. Yet-to-be-developed data science approaches have the potential to dramatically advance instruction for every student and to enhance learning for people of all ages. Next steps that emerged from a recent National…
Descriptors: Data, Evidence Based Practice, Instructional Improvement, Educational Research
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Smith-Millman, Marissa K.; Flaspohler, Paul D.; Maras, Melissa A.; Splett, Joni Williams; Warmbold, Kristy; Dinnen, Hannah; Luebbe, Aaron – Advances in School Mental Health Promotion, 2017
Some universal behavioural screening processes require classroom teachers to complete a risk assessment measure on each student in their class, leading to a possible, but unexplored, problem: risk assessment scores may be influenced by the teacher completing the measure. The current study investigated whether teacher-reported risk assessment…
Descriptors: Risk Assessment, Differences, Scores, Elementary School Teachers
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