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Marguerite Roza; Lucy Hadley; Hannah Jarmolowski – National Comprehensive Center, 2020
Our nation spends approximately $650 billion per year on our K-12 education system. To understand how those dollars impact students, we need to examine spending where it reaches them: at the school level. The document, developed by the National Center, describes a national data archive that uses all elements of Interstate Financial Reporting (IFR)…
Descriptors: Educational Finance, Expenditure per Student, Elementary Secondary Education, Archives
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Zhu, Mengxiao; Zhang, Mo; Deane, Paul – ETS Research Report Series, 2019
The research on using event logs and item response time to study test-taking processes is rapidly growing in the field of educational measurement. In this study, we analyzed the keystroke logs collected from 761 middle school students in the United States as they completed a persuasive writing task. Seven variables were extracted from the…
Descriptors: Keyboarding (Data Entry), Data Collection, Data Analysis, Writing Processes
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Vallée, Etienne; Hsu, Yu-Chang – TechTrends: Linking Research and Practice to Improve Learning, 2023
The adoption by the African Union of its Convention on Cyber Security and Personal Data Protection in 2014 represented a step forward to protect personal data and to ensure that data remain private and secure. This is especially important for students, who often have no autonomy in the educational technology they use. Students cannot choose why…
Descriptors: Privacy, Information Security, Data Collection, Student Records
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Stewart, Bonnie E. – Contemporary Educational Technology, 2023
This paper is a critical case study tracing the professional history of a self-professed open educator over more than two decades. It frames the narrative of an individual as a window on the broader arc of the field, from early open learning as a means of widening participation, through the rise of the participatory web at scale, to the current…
Descriptors: Internet, Privacy, Open Education, Higher Education
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Rumary, Kevin James; Goldspink, Sally; Howlett, Philip – International Journal of Research & Method in Education, 2023
Data collection in qualitative research is intended to capture the participant experience in relation to defined phenomena. Whilst attention is given to the different ways of gathering qualitative data, the presence of the researcher is a common feature. However, the researcher does not hold an inert position in the data collection process and may…
Descriptors: Data Collection, Researchers, Focus Groups, Research Methodology
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Pols, Freek; Diepenbroek, Patrick – Physics Education, 2023
In practical work focussing on conceptual development, students spend valuable in-class time on collecting data rather than making sense out of it. This provides a barrier to learning about the targeted concept. To address this problem, we developed an approach that we coin "collaborative data collection." Using a practical on the topic…
Descriptors: Science Instruction, Concept Formation, Scientific Concepts, Data Collection
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Reeves Meyer, Justin; Heimlich, Joe E.; Horr, E. Elaine T.; Kemper, Rebecca F.; Börner, Katy – Journal of Museum Education, 2023
The article answers the research question: under what conditions and with what methods would museum visitors feel comfortable (and not comfortable) sharing sensitive information for the purposes of museum research or evaluation? We ground our study in literature about sharing personal information in person, online, and in the context of digital…
Descriptors: Museums, Informed Consent, Sharing Behavior, Information Dissemination
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Daniels, Benjamin; Boffa, Jody; Kwan, Ada; Moyo, Sizulu – Research Ethics, 2023
Simulated standardized patients (SPs) are trained individuals who pose incognito as people seeking treatment in a health care setting. With the method's increasing use and popularity, we propose some standards to adapt the method to contextual considerations of feasibility, and we discuss current issues with the SP method and the experience of…
Descriptors: Deception, Informed Consent, Simulation, Patients
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Hirsch, Shanna E.; Griffith, Catherine A.; Kelley, Mya H.; Carlson, Alex; McKown, Georgia – Teacher Education and Special Education, 2023
To date, research on mixed-reality simulation (MRS) has focused on various skills including applied behavior analysis, but studies have not evaluated the role of preservice teachers' perceived knowledge, confidence, usefulness, or actual practice related to data collection. To address this gap, we conducted two separate MRS studies, one for…
Descriptors: Preservice Teachers, Knowledge Level, Skill Development, Computer Simulation
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C. F. J. Pols; P. J. J. M. Dekkers; M. J. de Vries – Physical Review Physics Education Research, 2023
This small-scale, qualitative study uses educational design research to explore how focusing on argumentation may contribute to students' learning to engage in inquiry independently. Understanding inquiry as the construction of a scientifically cogent argument in support of a claim may encourage students to develop personal reasons for adhering to…
Descriptors: Persuasive Discourse, Science Instruction, Inquiry, Secondary School Students
Education Scotland, 2023
As part of the cycle for reporting on the implementation of the Scottish Attainment Challenge (SAC), attainment advisors produce reports triannually. This process ensures there is a continuous narrative where next steps are identified and progress made towards them. This summary report is an overview of the analysis of the progress of all 32 local…
Descriptors: Achievement Gap, Poverty, Outcomes of Education, Educational Improvement
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Nayak, Padmalaya; Vaheed, Sk.; Gupta, Surbhi; Mohan, Neeraj – Education and Information Technologies, 2023
Students' academic performance prediction is one of the most important applications of Educational Data Mining (EDM) that helps to improve the quality of the education process. The attainment of student outcomes in an Outcome-based Education (OBE) system adds invaluable rewards to facilitate corrective measures to the learning processes.…
Descriptors: Predictor Variables, Academic Achievement, Data Collection, Information Retrieval
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Greenhalgh, Spencer P.; DiGiacomo, Daniela K.; Barriage, Sarah – Information and Learning Sciences, 2023
Purpose: The purpose of this paper is to examine how higher education students think about educational technologies they have previously used -- and the implications of this understanding for their awareness of datafication and privacy issues in a postsecondary context. Design/methodology/approach: The authors conducted two surveys about students'…
Descriptors: Ethics, Privacy, Learning Management Systems, Learning Analytics
Cody Gene Singer – ProQuest LLC, 2023
College and university enrollment has decreased nationwide every year for more than a decade as educational consumers increasingly question the value of higher education and discover alternatives to the traditional university system. Enrollment professionals seeking growth are tasked to develop and implement innovative solutions to address…
Descriptors: Data Collection, Predictor Variables, Electronic Learning, Enrollment
Mojgan Rashtchi; SeyyedeFateme Ghazi Mir Saeed – Sage Research Methods Cases, 2023
The reason for conducting the present case study was the problems the researchers encountered during data collection for another research project (Primary Study) entitled "The effects of virtual versus traditional flipped classes on EFL learners' grammar knowledge, self-regulation, and autonomy." Two online questionnaires were…
Descriptors: Data Collection, Questionnaires, Barriers, Research Methodology
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