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Neal, Jennifer Watling; Neal, Zachary P. – School Psychology, 2022
Understanding educators' networks can inform the field of school psychology by offering insight into how the structure of social relationships supports the implementation of school-based programs. However, the difficulties of collecting and modeling network data remain barriers to using network methods in school psychology. To overcome these…
Descriptors: Data Collection, Visualization, Models, Social Networks
Vartiainen, Henriikka; Tedre, Matti; Kahila, Juho; Valtonen, Teemu – Educational Media International, 2020
While much has been written about the personal, social, and democratic benefits of networked communities and participatory learning, critics have begun to draw attention to the ubiquitous data collection and computational processes behind mass user platforms. Personal and behavioral data have become valuable material for statistical and machine…
Descriptors: Social Networks, Participation, Artificial Intelligence, Ethics
Johnson, Eric M.; Chew, Robert – RTI International, 2021
Social Network Analysis (SNA) is a promising yet underutilized tool in the international development field. SNA entails collecting and analyzing data to characterize and visualize social networks, where nodes represent network members and edges connecting nodes represent relationships or exchanges among them. SNA can help both researchers and…
Descriptors: Social Networks, Network Analysis, Data Collection, Economic Development
Muller, Chandra L. – AERA Open, 2015
This article describes issues in measuring school contexts with an eye toward understanding students' experiences and outcomes. I begin with an overview of the conceptual underpinnings related to measuring contexts, briefly describe the initiatives at the National Center for Education Statistics to measure school contexts, and identify possible…
Descriptors: Educational Environment, Measurement, Educational Research, Student Development
MDRC, 2018
This issue brief describes the programs and systems of the MDRC Center for Data Insights. Ranging from simple descriptive summaries to advanced machine learning algorithms, the Center's eight current projects aim to use institutions' increasingly rich data to provide new insights that can help refine and target their client's services: (1)…
Descriptors: Family Programs, Federal Programs, Welfare Services, State Aid
Bennett, Jo; Grant, Natalie S. – New Horizons in Adult Education & Human Resource Development, 2016
An ecomap is a social work data collection tool that is used to gather data about a participant's environment. Derived from Bronfenbrenner's ecological system theory, the ecomap can be used in adult education and human resource development to record information of in-and-out-of-work and learning experiences and show how these interactions support…
Descriptors: Qualitative Research, Research Methodology, Data Collection, Research Tools
Kinsey, Joanne – Journal of Extension, 2012
YouTube users have access to the powerful data collection tool, Insight. Insight allows YouTube content producers to collect data about the number of online views, geographic location of viewers by country, the demographics of the viewers, how a video was discovered, and the attention span of the viewer while watching the video. This article…
Descriptors: Social Networks, Data Collection, Video Technology, Access to Information
O'Neill, Barbara – Journal of Extension, 2014
Twitter is increasingly being used by Extension educators as a teaching and program-marketing tool. It is not enough, however, to simply use Twitter to disseminate information. Steps must be taken to evaluate program impact with quantitative and qualitative data. This article described the following Twitter evaluation metrics: unique hashtags,…
Descriptors: Outreach Programs, Computer Mediated Communication, Extension Education, Cooperatives
Hartnett, Jessica L. – Teaching of Psychology, 2013
The present article describes four free or inexpensive Internet-based activities that can be used to supplement statistics/research methods/general psychology classes. Each activity and subsequent homework assessment is described, as well as homework performance outcome and student opinion data for each activity. (Contains 1 table.)
Descriptors: Internet, Educational Technology, Computer Uses in Education, Teaching Methods
Becker, Bernd – Behavioral & Social Sciences Librarian, 2013
The migration from traditional classrooms to online learning environments is in full effect. In the midst of these changes, a new approach to learning analytics needs to be considered. Learning analytics refers to the process of collecting and studying usage data in order to make instructional decisions that will support student success. In…
Descriptors: Educational Technology, Electronic Learning, Learning Processes, Learning Activities
Cassuto, Leonard – Chronicle of Higher Education, 2012
The practical goal of graduate education is placement of graduates. But what does "placement" mean? Academics use the word without thinking much about it. "Placement" is a great keyword for the graduate-school enterprise. For one thing, its meaning certainly gives a purpose to graduate education. Furthermore, the word is a portal into the way of…
Descriptors: Graduate Study, Graduates, Outcomes of Education, Career Readiness
Johnson, L.; Adams Becker, S.; Estrada, V.; Freeman, A. – New Media Consortium, 2014
"The NMC Horizon Report" series is the most visible outcome of the New Media Consortium (NMC) Horizon Project, an ongoing research effort established in 2002 that identifies and describes emerging technologies likely to have a large impact on teaching, learning, research, or creative expression within every sector of education in some 65…
Descriptors: Technology Uses in Education, Educational Technology, Elementary Secondary Education, Technological Advancement
Onwuegbuzie, Anthony J.; Leech, Nancy L.; Collins, Kathleen M. T. – Qualitative Report, 2010
This article provides an innovative meta-framework comprising strategies designed to guide qualitative data collection in the 21st century. We present a meta-framework comprising strategies for collecting data from interviews, focus groups, observations, and documents/material culture. We present a template for collecting nonverbal data during…
Descriptors: Data Collection, Qualitative Research, Innovation, Focus Groups
Guryan, Jonathan; Jacob, Brian; Klopfer, Eric; Groff, Jennifer – Developmental Psychology, 2008
Peer interactions among children have long interested social scientists. Identifying causal peer effects is difficult, and a number of studies have used random assignment to produce evidence that peers affect each other's outcomes. This focus by sociologists and economists on whether peers affect each other has not been matched by direct evidence…
Descriptors: Peer Influence, Social Networks, Middle School Students, High School Students
Pascoe, C. J. – Theory Into Practice, 2012
A lack of good information about what youth are doing with new media stimulates fears and hopes about the relationship between young people and digital technologies. This article focuses on new modes of inquiry into youth new media use, highlighting the challenges, complexities, and opportunities inherent in studying young people's digital…
Descriptors: Qualitative Research, Educational Innovation, Young Adults, Ethics
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