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Schechter, Chen; Qadach, Mowafaq; Da'as, Rima'a – Learning Organization, 2022
Purpose: Organizational learning (OL) has been conceptualized as a critical component in school change processes. Nevertheless, OL in the school context is still somewhat obscure and difficult to comprehend, thus it is rarely translated into operational structures and processes and later permanently sustained. The purpose of this study is to…
Descriptors: Organizational Learning, Data Collection, Elementary School Teachers, Teacher Attitudes
Casey Gogno; Scott Burden; Wyntre Stout – Association for Institutional Research, 2024
Creating a welcoming community is key for an academic environment to thrive. This approach includes accurately representing community members' identities to understand their experiences, and establishing procedures for recording and utilizing individuals' names to support their ability to express their identities freely and without fear of…
Descriptors: Data Collection, Information Storage, Student Characteristics, Identification
Epstein, Dale – Early Childhood Data Collaborative, 2020
At state and local levels, home visiting programs may use one of several mechanisms to collect and store data from families and clients who participate in home visiting services. States that are interested in integrating home visiting data with other early childhood data must often navigate the different ways in which home visiting data are stored…
Descriptors: Home Visits, Information Storage, Information Management, Young Children
Xie, Charles; Li, Chenglu; Ding, Xiaotong; Jiang, Rundong; Sung, Shannon – Journal of Chemical Education, 2021
Digital sensors allow people to collect a large quantity of data in chemistry experiments. Using infrared thermography as an example, we show that this kind of data, in conjunction with videos that stream the chemical phenomena under observation from a vantage point, can be used to construct digital twins of experiments to support science…
Descriptors: Chemistry, Video Technology, Technology Integration, Laboratory Experiments
Lin, Van-Kim – Early Childhood Data Collaborative, 2019
Integrating data across early childhood programs allows program staff and administrators, policymakers, and researchers to have a comprehensive picture of early childhood programs. While some states have taken significant steps to integrate data across many early childhood programs, home visiting data have seldom been included in these data…
Descriptors: Young Children, Home Visits, Information Management, Data Collection
Wise, Alyssa Friend – Journal of the Learning Sciences, 2020
This article discusses how each of the papers in this special issue explored some combination of subject, audience, and data scientist perspectives with an eye toward helping students situate their relationship to data. Specifically, within the data scientist perspective, the papers examined a variety of ways in which students can relate to data…
Descriptors: Data, Information Science Education, Multiple Literacies, Relationship
Kane, Maggie; King, Carlise – Early Childhood Data Collaborative, 2020
While home visiting services are an important component of the early childhood (EC) landscape, few states include home visiting data in their early childhood integrated data systems (ECIDS). An ECIDS links together data from different early care and education programs to generate data used to support program and policy decisions. One reason for…
Descriptors: Home Visits, Early Intervention, Young Children, Data Collection
Hunt Institute, 2022
From Fall 2019 through Spring 2020, The Hunt Institute released a series of policy briefs, "Attainment for All: Postsecondary Pathways," that highlighted scalable state-level strategies to boost postsecondary attainment rates among specific student subpopulations including high school graduates, first-generation students, and adult…
Descriptors: Educational Attainment, Postsecondary Education, Equal Education, Access to Education
Isaac, James; Velez, Erin; Roberson, Amanda Janice – Institute for Higher Education Policy, 2023
Students, families, colleges, and lawmakers need clearer information on postsecondary outcomes to make informed decisions. By leveraging data available at institutions and federal agencies, a nationwide student-level data network (SLDN) would close information gaps that persist in our higher education landscape to answer critical questions about…
Descriptors: College Students, Data, Information Networks, Program Design
van Baalen, Sebastian – Research Ethics, 2018
Information communications technologies (ICTs) like laptops, smartphones and portable storage devices facilitate travel, communication and documentation for researchers who conduct fieldwork. But despite increasing awareness about the ethical complications associated with using ICTs among journalists and humanitarians, there are few reflections on…
Descriptors: Information Technology, Internet, Ethics, Information Security
Loy, Adam; Kuiper, Shonda; Chihara, Laura – Journal of Statistics Education, 2019
This article describes a collaborative project across three institutions to develop, implement, and evaluate a series of tutorials and case studies that highlight fundamental tools of data science--such as visualization, data manipulation, and database usage--that instructors at a wide-range of institutions can incorporate into existing statistics…
Descriptors: Undergraduate Study, Data Collection, Data Analysis, Statistics
Dooly, Melinda; Moore, Emilee; Vallejo, Claudia – Research-publishing.net, 2017
Qualitative research, especially studies in educational contexts, often brings up questions of ethics because the study design involves human subjects, some of whom are under age (e.g. data collected in primary education classrooms). It is not always easy for young researchers to anticipate where ethical issues might emerge while designing their…
Descriptors: Qualitative Research, Ethics, Guidelines, Informed Consent
Parks, Rodney; Parrish, Jesse; Taylor, Alexander – College and University, 2018
Learners of all types must be able to represent their achievements to prospective employers and education institutions to prove that they have the requisite knowledge and skills for success. The most recognized means by which students represent themselves is the credential. As in many other industries that engage with customers, partners, and…
Descriptors: Credentials, Academic Records, College Students, Employment Qualifications
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
DeBaun, Bill; Cook, Kendall E. – National College Access Network, 2017
National College Access Network (NCAN) has heard repeatedly and consistently over the years that one of the best aspects of network membership is the ability to collaborate with and learn from other members. In an effort to further the transfer of ideas, in the summer of 2016 NCAN hosted a series of four Idea Incubators across the country, which…
Descriptors: Databases, Information Storage, Data Collection, Student Records