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Ferreira, Giselle Martins dos Santos; Rosado, Luiz Alexandre da Silva; Lemgruber, Márcio Silveira; Carvalho, Jaciara de Sá – Learning, Media and Technology, 2020
This article discusses issues concerning the spread of data-driven educational technologies in Brazil. Here, as elsewhere, educational technology continues to be promoted optimistically as the bearer of a panacea for historically-rooted social problems. Whilst some of these technologies have indeed contributed to important widening-participation…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Innovation
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Wise, Alyssa Friend – Journal of the Learning Sciences, 2020
This article discusses how each of the papers in this special issue explored some combination of subject, audience, and data scientist perspectives with an eye toward helping students situate their relationship to data. Specifically, within the data scientist perspective, the papers examined a variety of ways in which students can relate to data…
Descriptors: Data, Information Science Education, Multiple Literacies, Relationship
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Schachter, Rachel E.; Freeman, Donald; Parakkal, Naivedya – Review of Research in Education, 2020
Connecting teachers' perspectives with their practice is an enduring challenge shaping what and how we understand teaching. Researchers tend to bifurcate teachers' work between their private and their public lives. These "worlds" bring particular meanings that are rendered through the analyses of visual documentations of teaching and…
Descriptors: Classroom Research, Data Use, Data Collection, Data Analysis
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Gray, Cameron C.; Perkins, Dave; Ritsos, Panagiotis D. – Assessment & Evaluation in Higher Education, 2020
The field of learning analytics is progressing at a rapid rate. New tools, with ever-increasing number of features and a plethora of datasets that are increasingly utilized demonstrate the evolution and multifaceted nature of the field. In particular, the depth and scope of insight that can be gleaned from analysing related datasets can have a…
Descriptors: Educational Research, Data Collection, Data Analysis, Visual Aids
Kane, Maggie; King, Carlise – Early Childhood Data Collaborative, 2020
While home visiting services are an important component of the early childhood (EC) landscape, few states include home visiting data in their early childhood integrated data systems (ECIDS). An ECIDS links together data from different early care and education programs to generate data used to support program and policy decisions. One reason for…
Descriptors: Home Visits, Early Intervention, Young Children, Data Collection
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Helen C. D. McCarthy; Lissy Jackson; Rhonda Oliver – Australian Educational Researcher, 2025
This paper details a unique study undertaken at a regional Western Australian Vocational Education and Training (VET) Aboriginal boarding school, describing the research design, an overview of the research project and the findings that evolved. The study sought to answer the question of how well the school was preparing its young people to…
Descriptors: Foreign Countries, Career and Technical Education, Indigenous Populations, Boarding Schools
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Hill, Stephen; Scott, Rebecca – Information Systems Education Journal, 2017
Using data from social media can be of great value to businesses and other interested parties. However, harvesting data from social media networks such as Twitter, cleaning the data, and analyzing the data can be difficult. In this article, a step-by-step approach to obtaining data via the Twitter application program interface (API) is described.…
Descriptors: Data Analysis, Data Collection, Social Media
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Johnson, Roger W. – Teaching Statistics: An International Journal for Teachers, 2017
It is suggested that students collect interarrival data for customers arriving at a queue. Two common features will often occur across these various datasets. Some data collection hints, some problems for students to pursue and a few pointers to the literature are given.
Descriptors: Data Collection, Consumer Science, Problem Solving
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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
Sauder, Adrienne E.; Gilson, Cindy M. – Gifted Child Quarterly, 2023
There is a growing body of literature around digital research, specifically regarding data collection and how to pivot research designs to be more conducive to online and virtual research, but little in the way of how to analyze data remotely. In this article, we share firsthand experiences from a qualitative study utilizing Google apps, Zoom, and…
Descriptors: Academically Gifted, Gifted Education, Qualitative Research, Data Collection
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Vetter, Matthew A.; McDowell, Zachary J. – Journal of University Teaching and Learning Practice, 2023
COVID-19 and the public health policies emerging in response have laid bare a multiplicity of issues related to educational access and knowledge equity on a global scale. Among these, the quick shift to online and hybrid education models led teachers to adapt a plethora of digital platforms to deliver content and sponsor interactions). Such…
Descriptors: Equal Education, Epistemology, Educational Technology, Technology Uses in Education
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Flippin, Michelle – Teaching and Learning in Communication Sciences & Disorders, 2023
Language sample analysis (LSA) is valuable clinical tool and an important component of comprehensive language assessment. However, LSA is underutilized in real-world practice. SLPs have identified time constraints, insufficient training, and lack of confidence in LSA skills as barriers to regular LSA implementation. Communication science and…
Descriptors: Student Attitudes, Language Tests, Sampling, Language Impairments
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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
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Kaplan, Lennart; Kuhnt, Jana; Picot, Laura E.; Grasham, Catherine Fallon – Research Ethics, 2023
Across disciplines there is a large and increasing number of research projects that rely on data collection activities in low- and middle-income countries (LMICs). However, these are accompanied by an extensive range of ethical challenges. While the safeguarding of study participants is the primary aim of existing ethics guidelines, this paper…
Descriptors: Guidelines, Ethics, Barriers, Researchers
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Becirovic, Senad – SpringerBriefs in Open and Distance Education, 2023
This book systematically approaches the topic of the relatively new field of digital pedagogy and provides valuable insights for teachers and students, education policymakers, leaders in education, and others whose professional engagement is related to education in modern society. It discusses topics including what digital pedagogy involves as…
Descriptors: Digital Literacy, Electronic Learning, Technology Uses in Education, COVID-19
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