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Ayeshah Syed; David Yoong; Nor Mohd Nazari – Sage Research Methods Cases, 2022
In some studies, participants are assigned ethnographic or communicative tasks, such as field-work observation, life-story interviews, and photography. These studies usually involve in-person interaction, both for the participants doing the task and for the researchers in engaging with participants throughout the research process. Our study was…
Descriptors: Mixed Methods Research, Dentistry, Graduate Students, Empathy
Emily Rauscher; Yifan Shen – Annenberg Institute for School Reform at Brown University, 2022
The equity-efficiency tradeoff and cumulative return theories predict larger returns to school spending in areas with higher previous investment in children. Equity -- not efficiency -- is therefore used to justify progressive school funding: spending more in communities with fewer financial resources. Yet it remains unclear how returns to school…
Descriptors: School District Spending, County School Districts, Academic Achievement, Elementary Secondary Education
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Yang, Yang – International Journal of Adult Vocational Education and Technology, 2016
Q methodology is a method to systematically study subjective matters such as thoughts and beliefs on any given topic. Q methodology can be used for both theory building and theory testing. The purpose of this paper was to give a brief overview of Q methodology to readers with various backgrounds. This paper discussed several advantages of Q…
Descriptors: Q Methodology, Mixed Methods Research, Qualitative Research, Statistical Analysis
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
Lisa Kervin; Jessica Mantei; Kylie Lipscombe – Sage Research Methods Cases, 2016
Classrooms are complex environments. Ethnography can help researchers understand these complexities as they gather information by watching and talking with people, reading available reports and records and mapping out the environment. This case adds to existing literature on ethnography as we share our own experiences of what we refer to as…
Descriptors: Ethnography, Research Methodology, Case Studies, Educational Research
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Antoniadou, Victoria; Dooly, Melinda – Research-publishing.net, 2017
This chapter aims to answer some of the questions that emerge when carrying out educational ethnography in a blended learning environment. The authors first outline how Virtual Ethnography (VE) has been developed and applied by other researchers. Then, to better illustrate the approach, they describe a doctoral research project that implemented…
Descriptors: Ethnography, Blended Learning, Educational Environment, Educational Research
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Marsh, Julie A.; Kennedy, Kate – Teachers College Record, 2020
Background/Context: Researchers have amassed considerable evidence on the use of student performance data (e.g., benchmark and standardized state tests) to inform educational improvement, but few have examined the use of nonacademic indicators (e.g., indicators of social and emotional well-being) available to educators, and whether the factors…
Descriptors: Social Emotional Learning, Educational Practices, Educational Improvement, Well Being
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Shaw, Paula; Green, Pauline; Gration, Marlies; Rhodes, Christine; Sheffield, David; Stone, Julie – Australasian Journal of Educational Technology, 2020
Through this paper, we explore "unbundling," the separation of various aspects of education, resources, teaching and assessment (Ossiannilsson et al., 2015) and "rebundling," where these activities are "recombined into new configurations with little loss of functionality" (Ge et al., 2004, p. 1). We chart the…
Descriptors: Online Courses, Foreign Countries, Higher Education, Educational Technology
Miller, Cynthia; Cohen, Benjamin; Yang, Edith; Pellegrino, Lauren – MDRC, 2020
College students have a better chance of succeeding in school when they receive high-quality advising. High-quality advising, when characterized by frequent communications between advisers and students, early outreach to students showing signs of academic or nonacademic struggles, and personalized guidance that addresses individual student needs,…
Descriptors: College Students, Academic Advising, Technology Uses in Education, Faculty Advisers
National Center on Accessible Educational Materials, 2020
When the "AEM Quality Indicators with Critical Components for Higher Education: Institutes of Higher Education" (ED613012) was updated, a series of interviews were conducted with experts in colleges, universities, and related associations with knowledge and experience in system- or campus-wide accessibility. Additionally, a literature…
Descriptors: Higher Education, Instructional Materials, Educational Quality, Accessibility (for Disabled)
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Tremblay, Melissa; Kingsley, Bethan; Gokiert, Rebecca; Benthem, Gary – Journal of Community Engagement and Higher Education, 2018
Drawing on a community-university (CU) partnership between a non-profit organization that serves teen families, a housing organization and a university, this paper discusses the opportunities and challenges that can arise when engaging vulnerable youth in research. Through this paper, we share reflections on promising practices and ethical…
Descriptors: Disadvantaged Youth, At Risk Persons, Adolescents, Early Parenthood
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Mouri, Kousuke; Uosaki, Noriko; Ogata, Hiroaki – Educational Technology & Society, 2018
Seamless learning has been recognized as an effective learning approach across various dimensions including formal and informal learning contexts, individual and social learning, and physical world and cyberspace. With the emergence of seamless learning, the majority of the current research focuses on realizing a seamless learning environment at…
Descriptors: Data Collection, Data Analysis, Second Language Learning, Electronic Publishing
Center on Standards and Assessments Implementation, 2018
The recommendations in this brief create a framework for using data effectively to make instructional decisions. The availability of student-level data for educators has pushed forward the movement to strengthen the role of data to guide instruction and improve student learning. While improvements in technology and assessments, as well as recent…
Descriptors: Student Evaluation, Information Utilization, Data Collection, Data Analysis
Chang, Hedy N.; Bauer, Lauren; Byrnes, Vaughan – Attendance Works, 2018
Over the past decade, chronic absence has gone from being a virtually unknown concept to a national education metric that provides every school in the nation with critical data on how many students are missing so many days of school it jeopardizes their academic success. The inclusion of chronic absence in the Every Student Succeeds Act (ESSA) was…
Descriptors: Attendance, Data, Attendance Patterns, Information Utilization
Lacefield, Warren E.; Applegate, E. Brooks – Online Submission, 2018
Accountability seems forever engrained into the K-12 environment, as has been the expectation of delivering quality education to school aged children and adolescents. Yet, repeated failure of this expectation has focused the public's and policy maker's attention on the limitations of major accountability systems. This paper explores applications…
Descriptors: Public Education, Data, Visual Aids, Artificial Intelligence
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