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Jones, Kyle M. L.; Goben, Abigail; Perry, Michael R.; Regalado, Mariana; Salo, Dorothea; Asher, Andrew D.; Smale, Maura A.; Briney, Kristin A. – portal: Libraries and the Academy, 2023
Higher education data mining and analytics, like learning analytics, may improve learning experiences and outcomes. However, such practices are rife with student privacy concerns and other ethics issues. It is crucial that student privacy expectations and preferences are considered in the design of educational data analytics. This study forefronts…
Descriptors: College Students, Student Attitudes, Data Collection, Learning Analytics
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Sghir, Nabila; Adadi, Amina; Lahmer, Mohammed – Education and Information Technologies, 2023
The last few years have witnessed an upsurge in the number of studies using Machine and Deep learning models to predict vital academic outcomes based on different kinds and sources of student-related data, with the goal of improving the learning process from all perspectives. This has led to the emergence of predictive modelling as a core practice…
Descriptors: Prediction, Learning Analytics, Artificial Intelligence, Data Collection
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Buckley, Jeffrey; Hyland, Tomás; Seery, Niall – International Journal of Technology and Design Education, 2023
Technology education research is a growing field, with the rate of growth increasing over the last 2 decades. As the field grows, it is paramount that credibility is maintained in published findings. To date there is no evidence to suggest a lack trust is warranted, however in the midst of the replication crisis there is need to ensure continued…
Descriptors: Technology Education, Educational Research, Replication (Evaluation), Credibility
National Forum on Education Statistics, 2023
The Forum Guide to Data Quality provides best practices from districts and states for maintaining quality data as these agencies regularly review and revise their methods for working with data, as well as their expectations for all staff who are responsible for education data and their quality. This resource is intended to help districts and…
Descriptors: Data Collection, Quality Control, Best Practices, Educational Indicators
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Samudre, Mark D.; Allday, R. Allan; Lane, Justin D. – Education and Treatment of Children, 2022
The purpose of this study was to evaluate the use of behavioral skills training (BST) that included video vignettes used for modeling and rehearsal to train preservice general educators how to collect accurate antecedent-behavior-consequence (ABC) data using a structured recording format. The effectiveness of the intervention was evaluated within…
Descriptors: Preservice Teachers, Teacher Education, Data Collection, Student Behavior
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Quinn, Anthony; Denney, David; Hardwick, Nick; Jalil, Rahul; Meek, Rosie – International Journal of Social Research Methodology, 2022
The benefits of government administrative data are well-established, but research has not examined processes by which these data can be identified, organised and governed in line with ethical considerations. This is an important undertaking given the potential benefits of robust administrative data, especially at a time when the collection of…
Descriptors: Institutionalized Persons, Data Collection, Experience, Foreign Countries
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Hardy, Lisa; Dixon, Colin; Van Doren, Seth; Hsi, Sherry – Science Teacher, 2022
In science classrooms, students usually see and work with data that's intended to tell them right away about the natural world. Students then often treat the data we provide to them as factual, rather than as a source of evidence (Duschl 2008; Sandoval and Millwood 2005; Berland and Reiser 2009; McNeill and Berland 2017; Hancock, Kaput, and…
Descriptors: Data Collection, Data Analysis, Science Experiments, High School Students
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Winkler, Eleanor Anne; Graham, Paul; Unterman, Nathan A.; Grey, Benjamin; Miller, Jacob M.; Miller, Max J.; Sears, Allen J.; Bernat, Alex; Frank, Shoshana; Simon, Joshua; Eliaser, Shira K.; Blackmore, Tom; Copeland, Emmanuelle; Senser, Marybeth; Seiden, Henry; Valsamis, Anthony; Adams, Mark – Physics Teacher, 2022
With support from QuarkNet, high school students investigated the effect of overburden on muon flux by collecting data from Fermilab's Main Injector Neutrino Oscillation Search (MINOS) tunnel. Muon flux varied due to a change in overburden created by a 103-meter deep access shaft. A profile of muon flux as a function of distance from the access…
Descriptors: High School Students, Secondary School Science, Physics, Science Activities
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Suich, Helen; Yap, Mandy; Pham, Trang – International Journal of Social Research Methodology, 2022
This paper uses Individual Deprivation Measure data from Indonesia and South Africa to demonstrate the effects of coverage bias associated with mobile phone-based sampling and data collection approaches that restrict sampling frames to those who own or have access to a mobile phone -- a increasingly common method. Analysis of this data…
Descriptors: Bias, Handheld Devices, Telecommunications, Sampling
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de Rada, Vidal Díaz – Field Methods, 2022
This article presents the results of a general population study that used three different modes of data collection administered sequentially. The study began with a letter that contained the link to an online survey. Those who did not respond were interviewed by phone or face-to-face. The article focuses on the cost of the study related to…
Descriptors: Data Collection, Sequential Approach, Online Surveys, Interviews
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Thunberg, Sara – International Journal of Social Research Methodology, 2022
Narrative interviews with young victims of crime can provide information regarding their unique situations and how the victimization has affected their lives. However, the method can be intrusive, and not all young people are able to safeguard their personal integrity. This research note offers reflections on the use of narrative interviews with…
Descriptors: Personal Narratives, Interviews, Victims of Crime, Integrity
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Hedges, Sarai; Harkness, Shelly Sheats; Given, Kim – Middle Grades Research Journal, 2022
In this article we report on middle school students' understanding of concepts related to the second step of the statistical problem-solving process, study design: create a plan and collect data. Students participated in an open-ended statistics lesson involving nonexperimental study design. For this research we analyzed the students' discourse…
Descriptors: Middle School Students, Concept Formation, Research Design, Data Collection
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Shaner, Peter; Donmoyer, Robert – LEARNing Landscapes, 2022
Although anthropological methods have been appropriated by qualitative and mixed-methods educational researchers, visual anthropology has had virtually no impact on educational research. Furthermore, video, in general, despite its widespread impact on 21st century culture, has played only a limited role in the conducting of education-related…
Descriptors: Educational Research, Video Technology, Research Reports, Data Collection
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Dubrow, Joshua K. – International Journal of Social Research Methodology, 2022
The COVID 19 pandemic illuminates the role data has in public policy-making, i.e. datafication of society, and the importance of exploring the local sources of data to reveal errors in what has assuredly been from the beginning an undercount of cases and deaths. I note four interrelated error sources. The first two are common to any quantitative…
Descriptors: Data Use, COVID-19, Pandemics, Data Collection
Bonifay, Wes – Grantee Submission, 2022
Traditional statistical model evaluation typically relies on goodness-of-fit testing and quantifying model complexity by counting parameters. Both of these practices may result in overfitting and have thereby contributed to the generalizability crisis. The information-theoretic principle of minimum description length addresses both of these…
Descriptors: Statistical Analysis, Models, Goodness of Fit, Evaluation Methods
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