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Frank Lee; Alex Algarra – Information Systems Education Journal, 2024
Exploratory data analysis (EDA), data visualization, and visual analytics are essential for understanding and analyzing complex datasets. In this project, we explored these techniques and their applications in data analytics. The case discusses Tableau, a powerful data visualization tool, and Google BigQuery, a cloud-based data warehouse that…
Descriptors: Visual Aids, Data Use, Data Collection, Naming
Anais Roque; Amber Wutich; Alexandra Brewis; Melissa Beresford; Laura Landes; Olga Morales-Pate; Ramon Lucero; Wendy Jepson; Yushiou Tsai; Michael Hanemann – Field Methods, 2024
Community-based participant-observation purposefully combines participant-observation and community-based participatory research. While participant-observation is the core method of ethnography and foundational to cultural anthropology, community-based participatory research initially emerged from health and related applied sciences to align…
Descriptors: Participant Observation, Participatory Research, Ethnography, Communities of Practice
Center for IDEA Early Childhood Data Systems (DaSy), 2022
The value of data is increasingly recognized by organizations and programs, including Individuals with Disabilities Education Act (IDEA) Part C and Part B 619 programs. Data can help Part C and Part B 619 program coordinators, data managers and staff improve outcomes for children and families by strengthening their understanding of the needs of…
Descriptors: Equal Education, Educational Legislation, Federal Legislation, Students with Disabilities
Towse, John; Davies, Rob; Ball, Ellie; James, Rebecca; Gooding, Ben; Ivory, Matthew – Journal of Statistics and Data Science Education, 2022
We advocate for greater emphasis in training students about data management, within the context of supporting experience in reproducible workflows. We introduce the "L"ancaster "U"niversity "ST"atistics "RE"sources (LUSTRE) package, used to manage student research project data in psychology and build…
Descriptors: Data Analysis, Information Management, Open Source Technology, Data Science
Center for IDEA Early Childhood Data Systems (DaSy), 2022
The purpose of the DaSy Data System Framework (referred to as DaSy framework) is to assist Part C (Early Intervention) and Part B (School-Aged) 619 programs in developing and enhancing high-quality state data systems for the collection, analysis, reporting, and use of their Individuals with Disabilities Education Act (IDEA) data. The DaSy…
Descriptors: Educational Legislation, Federal Legislation, Equal Education, Students with Disabilities
Yoo, Paul Youngmin; Whitaker, Anamarie A.; McCombs, Jennifer Sloan – RAND Corporation, 2019
Expanded learning intermediaries are nonprofit organizations dedicated to making after-school and summer programs better and more accessible for children and youth. They do this by coordinating efforts and resources in a given community, knitting programs together into a cohesive system, helping individual programs function at a high level, and…
Descriptors: Nonprofit Organizations, After School Programs, Summer Programs, Data Collection
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
Day, Annette – New Review of Academic Librarianship, 2018
This article describes a project undertaken as part of a cross-campus strategic planning effort. The project documented current campus practices and systems in use for collecting, analyzing and reporting key research metrics. The project identified organizational issues around siloed data collection and lack of clarity on data stewards, data…
Descriptors: Strategic Planning, Data Collection, Data Analysis, College Libraries
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
Lohrer, Johannes-Y.; Kaltenthaler, Daniel; Kröger, Peer – International Association for Development of the Information Society, 2016
In this paper, we describe a framework for data analysis that can be embedded into a base application. Since it is important to analyze the data directly inside the application where the data is entered, a tool that allows the scientists to easily work with their data, supports and motivates the execution of further analysis of their data, which…
Descriptors: Data Analysis, Expertise, Models, Evaluation Methods
National College Access Network, 2016
The National College Access Network (NCAN) and Exponent Partners have teamed up on a two-part report series aimed at helping organizations to become more data-driven. NCAN members have increasingly incorporated research, data, and evaluation into their critical work of serving low-income, first-generation students on their way to postsecondary…
Descriptors: Information Management, Data, Data Collection, Systems Approach
Nelson, R.; Kelley, G.; Hebbeler, K.; Vinh, M.; Gillaspy, K.; Barton, L.; Reid, J. K. – Center for IDEA Early Childhood Data Systems (DaSy), 2017
The Local Child Outcomes Measurement System (L-COMS) is a framework that identifies seven key components of a high-quality child outcomes measurement system at the local level. The L-COMS framework was designed to apply to all local programs regardless of their specific child outcomes measurement approach. Development of the L-COMS originated with…
Descriptors: Early Childhood Education, Outcomes of Education, Measurement Techniques, Data Collection
Reinders, Hayo – JALT CALL Journal, 2018
If only we could know what our students were up to at any given moment in class. Who is paying attention, and who is falling asleep? Who understands the past perfect and who thinks it is about something wonderful that happened yesterday? And wouldn't it be great if we knew who is motivated and who is ready to drop out of the course? Language…
Descriptors: Data Collection, Data Analysis, Language Teachers, Learner Engagement
Jones, Kyle M. L.; Salo, Dorothea – College & Research Libraries, 2018
In this paper, the authors address learning analytics and the ways academic libraries are beginning to participate in wider institutional learning analytics initiatives. Since there are moral issues associated with learning analytics, the authors consider how data mining practices run counter to ethical principles in the American Library…
Descriptors: Academic Libraries, Ethics, Intellectual Freedom, Privacy
Grovenstein, Elizabeth – Hunt Institute, 2016
"Which preschool programs best prepare students for kindergarten?" "Which students from which schools need remediation classes in higher education?" "How successful are college graduates in the workforce by major or credential?" These are just a few of the questions that can be answered by a robust longitudinal data…
Descriptors: Data Analysis, Data Collection, Preschool Education, Elementary Secondary Education