NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
Pell Grant Program1
Assessments and Surveys
National Survey of Student…1
What Works Clearinghouse Rating
Showing 1 to 15 of 69 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Hwang, Jackelyn; Dahir, Nima; Sarukkai, Mayuka; Wright, Gabby – Sociological Methods & Research, 2023
Visual data have dramatically increased in quantity in the digital age, presenting new opportunities for social science research. However, the extensive time and labor costs to process and analyze these data with existing approaches limit their use. Computer vision methods hold promise but often require large and nonexistent training data to…
Descriptors: Data Analysis, Visual Aids, Sanitation, Municipalities
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Braun, Henry – International Journal of Educational Methodology, 2021
This article introduces the concept of the carrying capacity of data (CCD), defined as an integrated, evaluative judgment of the credibility of specific data-based inferences, informed by quantitative and qualitative analyses, leavened by experience. The sequential process of evaluating the CCD is represented schematically by a framework that can…
Descriptors: Data Use, Social Sciences, Data Analysis, Data Interpretation
Peer reviewed Peer reviewed
Direct linkDirect link
Dalland, Cecilie P.; Klette, Kirsti; Svenkerud, Sigrun – International Journal of Research & Method in Education, 2020
The use of video recordings as a data source in qualitative research presents challenges when it comes to selecting time scales. Here, we discuss the implications of selecting time scales with regard to the interpretations and conclusions of a classroom event. The analysis draws on data from the PISA+ project, a large-scale video study of six…
Descriptors: Video Technology, Qualitative Research, Time, Foreign Countries
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Blanken-Webb, Jane – Philosophical Inquiry in Education, 2017
This paper investigates the intersection of big data and philosophy of education by considering big data's potential for addressing learning via a holistic process of coming-to-know. Learning, in this sense, cannot be reduced to the difference between a pre- and post-test, for example, as it is constituted at least as much by qualities of…
Descriptors: Educational Philosophy, Data Analysis, Educational Research, Learning Processes
Heslop, Jo; Tamez, Lucia Quintero; Parkes, Jenny – Institute of Education - London, 2021
While violence against children (VAC) has been a long-established global concern, more recently attention has been drawn to how violence occurs in and around schools (VACS) and the role of education in preventing and responding to violence. Whilst awareness about VACS is growing, more robust data are needed to inform policy and practice. Concerns…
Descriptors: Violence, Children, School Violence, Bullying
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Pek, Jolynn; Wong, Octavia; Wong, C. M. – Practical Assessment, Research & Evaluation, 2017
Data transformations have been promoted as a popular and easy-to-implement remedy to address the assumption of normally distributed errors (in the population) in linear regression. However, the application of data transformations introduces non-ignorable complexities which should be fully appreciated before their implementation. This paper adds to…
Descriptors: Data Analysis, Regression (Statistics), Statistical Inference, Data Interpretation
Peer reviewed Peer reviewed
Direct linkDirect link
Zimmerman, Aaron Samuel; Kim, Jeong-Hee – International Journal of Adult Vocational Education and Technology, 2017
Narrative inquiry has been a popular methodology in different disciplines for the last few decades. Using stories, narrative inquiry illuminates lived experience, serving as a valuable complement to research methodologies that are rooted in positivist epistemologies. In this article, we present a brief introduction to narrative inquiry including…
Descriptors: Personal Narratives, Research Methodology, Educational Research, Data Collection
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Seymoens, Tom; Van Audenhove, Leo; Van den Broeck, Wendy; Mariën, Ilse – Journal of Media Literacy Education, 2020
This paper presents "the DataBuzz Project." "DataBuzz" is a high-tech, mobile educational lab, which is housed in a 13-meter electric bus. Its specific goal is to increase the data literacy of different segments of society in the Brussels region through inclusive and participatory games and workshops. In this paper, we will…
Descriptors: Data Analysis, Literacy, Program Descriptions, Laboratories
von Zastrow, Claus; Roberts, Maxine T.; Squires, John – Education Commission of the States, 2021
State education data systems help policymakers use data to evaluate the impact of their efforts to improve education. By disaggregating the data -- that is, breaking it out by different student subgroups -- policymakers can ensure that their efforts address the needs of students who have been traditionally underserved in educational settings. Yet…
Descriptors: Data Analysis, Student Characteristics, Data Collection, Barriers
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Pangeni, Shesha Kanta – Turkish Online Journal of Distance Education, 2017
Evolution of technology and its tremendous use in education has changed the ways of educational services in higher education around the world. There is worldwide access to higher education through virtual learning environments. This is a new avenue for 21st century education and within a short time, it has been able to establish new culture of…
Descriptors: Educational Research, Electronic Learning, Research Methodology, Research Problems
Peer reviewed Peer reviewed
Direct linkDirect link
Kjelvik, Melissa K.; Schultheis, Elizabeth H. – CBE - Life Sciences Education, 2019
Data are becoming increasingly important in science and society, and thus data literacy is a vital asset to students as they prepare for careers in and outside science, technology, engineering, and mathematics and go on to lead productive lives. In this paper, we discuss why the strongest learning experiences surrounding data literacy may arise…
Descriptors: Data Use, Scientific Research, Information Literacy, STEM Education
Peer reviewed Peer reviewed
Direct linkDirect link
Henry, Philip – College and University, 2019
Phillip Henry is a semi-retired former U.K. Registrar and Secretary with almost 40 years' experience in higher education. He has been active in staff development in the United Kingdom (Association of University Administrators, Academic Registrars Council, and Association of Heads of University Administration), in the United States (AACRAO and a…
Descriptors: Academic Achievement, Administrator Attitudes, Educational Experience, College Students
Peer reviewed Peer reviewed
Direct linkDirect link
Wilson, Rachel E. – International Journal of Qualitative Studies in Education (QSE), 2015
I argue that Ricoeur's "preunderstandings" can be used as a heuristic to aid researchers who collect narratives as data (1) to identify cultural meanings that become resources for participants' positioning work, (2) to ground the identified cultural meanings in participants' experiences, and (3) to understand participants'…
Descriptors: Hermeneutics, Personal Narratives, Data Collection, Data Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Bishop, D. V. M. – Journal of Child Psychology and Psychiatry, 2013
Background: Our ability to look at structure and function of a living brain has increased exponentially since the early 1970s. Many studies of developmental disorders now routinely include a brain imaging or electrophysiological component. Amid current enthusiasm for applications of neuroscience to educational interventions, we need to pause to…
Descriptors: Neurosciences, Intervention, Language Impairments, Children
Peer reviewed Peer reviewed
PDF on ERIC Download full text
MacNeill, Sheila; Campbell, Lorna M.; Hawksey, Martin – Journal of Interactive Media in Education, 2014
This article presents an overview of the development and use of analytics in the context of education. Using Buckingham Shum's three levels of analytics, the authors present a critical analysis of current developments in the domain of learning analytics, and contrast the potential value of analytics research and development with real world…
Descriptors: Learning, Data Analysis, Data Collection, Educational Assessment
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5