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Nica Basuel; Rohan Carter-Rau; Molly Curtiss Wyss; Maya Elliott; Brad Olsen; Tracy Olson; Mónica Rodríguez – Center for Universal Education at The Brookings Institution, 2024
To support and better understand how to scale effectively, in 2020, the Millions Learning project at the Center for Universal Education (CUE) at Brookings joined the Global Partnership for Education's (GPE) Knowledge and Innovation Exchange (KIX), a joint partnership between GPE and the International Development Research Centre (IDRC), to…
Descriptors: Scaling, Equal Education, Educational Innovation, Data Collection
Gediminas Merkys; Sigitas Vaitkevicius; Daiva Bubeliene; Leonidas Sakalauskas – European Journal of Education, 2025
The results of total testing from the years 2015-2022 on the mathematical and verbal achievement of Lithuanian pupils (N [approximately equal to] 250,000) are presented. These are the standardised tests from grades 4 to 12. The K-Means method has discovered six types of achievement. The highest achievement type is dominated by girls (61.1%) who…
Descriptors: Foreign Countries, Elementary Secondary Education, Mathematics Achievement, Verbal Development
Yavuz Akbulut; Abdullah Saykili; Aylin Öztürk; Aras Bozkurt – International Review of Research in Open and Distributed Learning, 2023
Online surveys are widely used in social science research as well as in empirical studies of open, online, and distance education. However, students' responses are likely to be at odds with their actual behavior. In this context, we examined the discrepancies between self-reported use and actual use (i.e., learning analytics data) among 20,646…
Descriptors: Measurement Techniques, Electronic Learning, Distance Education, Open Education
Schneider, Daniel; Harknett, Kristen – Sociological Methods & Research, 2022
In this article, we explore the use of Facebook targeted advertisements for the collection of survey data. We illustrate the potential of survey sampling and recruitment on Facebook through the example of building a large employee--employer linked data set as part of The Shift Project. We describe the workflow process of targeting, creating, and…
Descriptors: Social Media, Data Collection, Advertising, National Surveys
Owan, Valentine J.; Obla, Moses E.; Asuquo, Michael E.; Owan, Mercy V.; Okenjom, Godian P.; Undie, Stephen B.; Ogar, Joseph O.; Udeh, Kelechi V. – Journal of Pedagogical Research, 2023
Previous research has extensively analysed teachers' and students' Facebook use for instructional engagement, writing, research dissemination and e-learning. However, Facebook as a data collection mechanism for research has scarcely been the subject of previous studies. The current study addressed these gaps by analysing students' awareness,…
Descriptors: Student Attitudes, Social Media, Student Research, Data Collection
Gregory De La Piedra – Dimensions, 2025
Free listing tasks are a common data collection method used by cultural anthropologists, language historians and linguists (Nolan, 2002; Ryan et al., 2000; Weller & Romney, 1988; Wolfram & Schillings-Estes, 1998). These tasks are interviews in which a researcher asks groups of respondents to list words or expressions that come to mind for…
Descriptors: Foreign Countries, Adults, Data Collection, Anthropology
Nurul Hazlina Noordin – Journal of Media Literacy Education, 2024
This study examines the levels of Media and Information Literacy (MIL) among underprivileged communities, shedding light on their digital literacy and online behaviour. Rooted in the UNESCO Media and Information Literacy framework, focusing on specific dimensions of MIL, with an emphasis on assessing the ability to retrieve, critically evaluate,…
Descriptors: Media Literacy, Information Literacy, Disadvantaged, Technological Literacy
Khim Raj Subedi – Online Submission, 2024
This study explores the complexities of qualitative fieldwork and unpacks the fieldwork dynamics drawing on critical reflections based on the experiences of interviewing primary level teachers in exploring their identities. I argue that qualitative fieldwork is not a one-shot, linear activity but a negotiated and relational task requiring a…
Descriptors: Qualitative Research, Data Collection, Field Studies, Doctoral Students
Sevinç Kaçar – Journal of Turkish Science Education, 2023
The aim of the study was to examine postgraduate theses on epistemological beliefs in science education in Türkiye. Data collected included the publication years, researcher genders, universities, disciplines, aims, methods, sample/study groups, time allocated to the research, and data collection tools. The thematic content analysis method was…
Descriptors: Content Analysis, Epistemology, Beliefs, Science Education
Bernhart, John A.; Fellers, Ashley W.; Turner-McGrievy, Gabrielle; Wilson, Mary J.; Hutto, Brent – Health Education & Behavior, 2022
Introduction: Electronic Bluetooth scales (e-scales) may be useful for remote weight assessment. This study analyzed predictors of engagement with e-scales and feasibility for remote weight assessment. Method: Due to COVID-19 restrictions, participants (n = 150, 100% African American, 79% female, average age 48.2 ± 10.6 years) in an ongoing trial…
Descriptors: Data Collection, Body Weight, Measurement Equipment, Measurement Techniques
Aksoy, Nuri Can; Karabay, Ersoy; Eker-Durmus, Esra; Göktas, Mehmet; Çiloglan-Konur, Fatma – Journal of Theoretical Educational Science, 2021
This case study, based on qualitative research, aims to examine the doctoral dissertation abstracts written between 2010-2017. Therefore, in education, 3463 doctoral dissertations abstracts were accessed through Turkey's National Thesis Center website. The researchers developed an abstract review form. Each dissertation abstract was examined…
Descriptors: Doctoral Dissertations, Case Studies, Foreign Countries, Web Sites
Göktepe Körpeoglu, Seda; Göktepe Yildiz, Sevda – Education and Information Technologies, 2023
Examining students' attitudes towards STEM (science, technology, engineering, and mathematics) fields starting from middle school level is important in their career choices and future planning. However, there is a need to investigate which variables affect students' attitudes towards STEM. Here, we aimed to estimate middle school students'…
Descriptors: Comparative Analysis, Algorithms, Data Collection, Student Attitudes
Keusch, Florian; Bähr, Sebastian; Haas, Georg-Christoph; Kreuter, Frauke; Trappmann, Mark – Sociological Methods & Research, 2023
Researchers are combining self-reports from mobile surveys with passive data collection using sensors and apps on smartphones increasingly more often. While smartphones are commonly used in some groups of individuals, smartphone penetration is significantly lower in other groups. In addition, different operating systems (OSs) limit how mobile data…
Descriptors: National Surveys, Computer Software, Telecommunications, Handheld Devices
Mihyun Son; Minsu Ha – Education and Information Technologies, 2025
Digital literacy is essential for scientific literacy in a digital world. Although the NGSS Practices include many activities that require digital literacy, most studies have examined digital literacy from a generic perspective rather than a curricular context. This study aimed to develop a self-report tool to measure elements of digital literacy…
Descriptors: Test Construction, Measures (Individuals), Digital Literacy, Scientific Literacy
Okoye, Kingsley; Arrona-Palacios, Arturo; Camacho-Zuñiga, Claudia; Hammout, Nisrine; Nakamura, Emilia Luttmann; Escamilla, Jose; Hosseini, Samira – International Journal of Educational Technology in Higher Education, 2020
Today, modern educational models are concerned with the development of the teacher-student experience and the potential opportunities it presents. User-centric analyses are useful both in terms of the socio-technical perspective on data usage within the educational domain and the positive impact that data-driven methods have. Moreover, the use of…
Descriptors: Data Collection, Data Analysis, Student Attitudes, Student Evaluation of Teacher Performance