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Ina Sander – Information and Learning Sciences, 2024
Purpose: In light of a need for more critical education about datafication, this paper aims to develop a framework for critical datafication literacy that is grounded in theoretical and empirical research. The framework draws upon existing critical data literacies, an in-depth analysis of three well-established educational approaches - media…
Descriptors: Foreign Countries, Media Literacy, Data, Critical Theory
Mireia Bolíbar; Julia Martínez-Ariño; Maria Schiller – Field Methods, 2025
We propose a new method for analyzing and visualizing information on a large collection of personal networks to uncover the socio-centric structure of relationships among aggregated actors that we clustered into categories. The network of categories identifies the links between groups of sampled ego actors sharing a given attribute (e.g.,…
Descriptors: Measurement Techniques, Data Analysis, Data Collection, Networks
Ulrike Krein – Leadership and Policy in Schools, 2025
In the context of digital transformation processes in schools, the introduction of technology is often discussed in terms of the individualization and optimization of teaching, learning and school management. However, it is often neglected that technologies are preconfigured and provide socio-material offers that invite certain actions and thus…
Descriptors: Educational Technology, Technology Uses in Education, Technology Integration, School Administration
Dennis Klinkhammer; Julia Rüther; Michael Schemmann – Adult Education Quarterly: A Journal of Research and Theory, 2024
Building on previous work on the civic returns of adult learning, this article examines the association between adult education, personality traits, and demands for civic participation or volunteering. Based on National Education Panel Study data, the study finds openness to be a crucial personality trait for participating in further training, as…
Descriptors: Adult Education, Personality Traits, Citizen Participation, Data
Florian Keusch; Paulina K. Pankowska; Alexandru Cernat; Ruben L. Bach – Field Methods, 2024
Data donation is a novel approach to collecting digital trace data, where users are asked to download their retrospective data from a platform and share them with the researchers. Little is known about the willingness to donate data and the potential bias that may arise from nonparticipation. We conducted a study among over 900 German Facebook…
Descriptors: Data Collection, Research Methodology, Information Dissemination, Social Media
Christoph Beuthner; Bernd Weiß; Henning Silber; Florian Keusch; Jette Schröder – International Journal of Social Research Methodology, 2024
As our modern world has become increasingly digitalized, various types of data from different data domains are available that can enrich survey data. To link survey data to other sources, consent from the survey respondents is required. This article compares consent to data linkage requests for seven data domains: administrative data, smartphone…
Descriptors: Foreign Countries, Online Surveys, Data Collection, Informed Consent
Javiera Atenasa; Leo Havemannb; Chrissi Nerantzi – Research in Learning Technology, 2024
This paper offers guidance on employing open and creative methods for co- designing critical data and artificial intelligence (AI) literacy spaces and learning activities, rooted in the principles of Data Justice. Through innovative approaches, we aim to enhance participation in learning, research and policymaking, fostering a comprehensive…
Descriptors: Artificial Intelligence, Data, Literacy, Teaching Methods
Imamoglu, Mehmet; Erbas, Cagdas; Dikmen, Cemal Hakan – Online Submission, 2022
The purpose of this study was to examine the studies related to augmented reality applications in sports science and to discuss the results based on this. Articles selected for analysis were found through searches journals in the Web of Science database from 1975 to 2018 were examined and searched using the keywords ("physical education"…
Descriptors: Trend Analysis, Educational Trends, Simulated Environment, Physical Education
Alexandru Cernat; Joseph Sakshaug; Pablo Christmann; Tobias Gummer – Sociological Methods & Research, 2024
Mixed-mode surveys are popular as they can save costs and maintain (or improve) response rates relative to single-mode surveys. Nevertheless, it is not yet clear how design decisions like survey mode or questionnaire length impact measurement quality. In this study, we compare measurement quality in an experiment of three distinct survey designs…
Descriptors: Surveys, Questionnaires, Item Analysis, Attitude Measures
Vietze, Jana; Schwarzenthal, Miriam; Moffitt, Ursula; Civitillo, Sauro – European Journal of Psychology of Education, 2023
Across continental Europe, educational research samples are often divided by 'migrant background', a binary variable criticized for masking participant heterogeneity and reinforcing exclusionary norms of belonging. This study endorses more meaningful, representative, and precise research by offering four guiding questions for selecting relevant,…
Descriptors: Foreign Countries, Educational Research, Social Justice, Social Influences
Alturki, Sarah; Cohausz, Lea; Stuckenschmidt, Heiner – Smart Learning Environments, 2022
The tremendous growth in electronic educational data creates the need to have meaningful information extracted from it. Educational Data Mining (EDM) is an exciting research area that can reveal valuable knowledge from educational databases. This knowledge can be used for many purposes, including identifying dropouts or weak students who need…
Descriptors: Information Retrieval, Data Analysis, Data Use, Prediction
Jule Scheper; Robin Leuppert; Daniel Possler; Anna Freytag; Sophie Bruns; Julia Niemann-Lenz – Journalism and Mass Communication Educator, 2025
Despite the increasing use of the statistical programming language R in statistics and data analysis (SDA), its implementation in communication science education is limited. Experiences, recommendations, and a critical exchange are therefore scarce. The following contribution addresses this very gap. At the Department of Journalism and…
Descriptors: Journalism Education, Programming Languages, Statistical Analysis, Data Analysis
Hartong, Sigrid; Piattoeva, Nelli – Critical Studies in Education, 2021
This paper contributes to a growing body of research on the increasing datafication of schooling, which has become a salient topic in comparative education and education policy research. Specifically, we address the rising scholarly concern about the meaning of (comparing) contexts as bounded localities facing an increasingly fluid and generative…
Descriptors: Data Analysis, Comparative Education, Educational Policy, Standardized Tests
Jones, Thomas J.; Ehlers, Todd A. – Journal of Geoscience Education, 2021
The need for geoscience students to develop a quantitative skillset is ever increasing. However, this can be difficult to implement in university-style lecture courses in a way that is both manageable for the instructor and does not involve lengthy, potentially repetitive, question sheets for the students. Here, a method for teaching dimensional…
Descriptors: Earth Science, Science Experiments, Graduate Students, College Science
Jean Philippe Décieux; Andreas Heinz – International Journal of Social Research Methodology, 2024
In times of decreasing response rates and survey participation, many 'best-practices' have been developed for increasing survey recruitment. However, most of these have never been adequately and experimentally scrutinized for their efficacy. Therefore, in this research note, we draw on probability-based data of an online panel and experimentally…
Descriptors: Scheduling, Online Surveys, Response Rates (Questionnaires), Communication Strategies