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Creamer, Elizabeth; Edwards, Cherie – International Journal of Research & Method in Education, 2019
Little attention has been paid to the processes that are involved in making sense of the role dissonance between sources of data has played in the development of theoretical insight. This methodologically oriented investigation considers an unusual set of case exemplars that used mixed methods and dialogic forms of mixing in ways that produced…
Descriptors: Mixed Methods Research, Theories, Differences, Information Sources
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Hubers, Mireille D.; Poortman, Cindy; Schildkamp, Kim; Pieters, Jules M. – Teachers College Record, 2019
Background/Context: The data team intervention was designed to support schools in using data while developing a solution to an educational problem. The participating data team members are responsible for building collective capacity within their school for using data and implementing actions related to the improvement plan. This can be…
Descriptors: Teamwork, Capacity Building, Data, Foreign Countries
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Durrant, Gabriele B.; Maslovskaya, Olga; Smith, Peter W.F. – International Journal of Social Research Methodology, 2019
Researchers have become increasingly interested in better understanding the survey data collection process in interviewer-administered surveys. However, tools for analysing paradata capturing information about field processes, also called call record data, are still not yet fully explored. This paper introduces sequence analysis as a simple tool…
Descriptors: Foreign Countries, Data Analysis, Interviews, Surveys
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Moore, Russell; Caines, Andrew; Elliott, Mark; Zaidi, Ahmed; Rice, Andrew; Buttery, Paula – International Educational Data Mining Society, 2019
Educational systems use models of student skill to inform decision-making processes. Defining such models manually is challenging due to the large number of relevant factors. We propose learning multidimensional representations (embeddings) from student activity data -- these are fixed-length real vectors with three desirable characteristics:…
Descriptors: Models, Knowledge Representation, Skills, Artificial Intelligence
Pentimonti, J.; Petscher, Y.; Stanley, C. – National Center on Improving Literacy, 2019
Sample representativeness is an important piece to consider when evaluating the quality of a screening assessment. If you are trying to determine whether or not the screening tool accurately measures children's skills, you want to ensure that the sample that is used to validate the tool is representative of your population of interest.
Descriptors: Sampling, Screening Tests, Measurement, Test Validity
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Bressler, Denise M.; Shane Tutwiler, M.; Bodzin, Alec M. – Educational Technology Research and Development, 2021
We report on a design-based research study that was conducted over three iterations. It chronicles the design, development, and implementation of School Scene Investigators, a forensic science game series for middle school students that utilizes mobile augmented reality. Played on mobile devices while exploring the school environment, School Scene…
Descriptors: Science Interests, Student Interests, Science Education, Educational Games
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Regional Educational Laboratory Pacific, 2021
These are the appendices to the report, "Using High School Data to Predict College Success in Palau" (ED610714). Prior research, particularly for the United States, has shown that earning a community college credential increases an individual's likelihood of gaining stable employment, earning a living wage, and working in a higher-paying…
Descriptors: Foreign Countries, College Readiness, High School Students, College Preparation
Saenz-Armstrong, Patricia – National Council on Teacher Quality, 2021
For any labor market to function properly, clear information is needed to guide decision making; its absence invariably leads to less than optimal decisions and inefficiencies. While the broader labor market is riddled with imperfect information, the teacher labor market is particularly vulnerable--largely for the lack of the most basic…
Descriptors: Teacher Supply and Demand, Teacher Shortage, Decision Making, State Departments of Education
Muir, Tracey – Mathematics Education Research Group of Australasia, 2021
National testing and reform agendas, with their focus on school improvement, has led to increased collection and scrutiny of student data. The analysis of these data usually occurs at a school level, often by school leaders. What is less common is the opportunity for students to scrutinise their individual data and take ownership over the results…
Descriptors: Mathematics Instruction, Mathematics Achievement, Foreign Countries, Computation
Himmele, Pérsida; Himmele, William – ASCD, 2021
Old habits die hard, particularly when they are part of the unexamined norms of schooling. In "Why Are We Still Doing That?," the best-selling authors of "Total Participation Techniques" lead a teacher-positive, empathetic inquiry into 16 common educational practices that can undermine student learning: (1) Round robin reading;…
Descriptors: Teaching Methods, Educational Practices, Elementary Secondary Education, Reading Instruction
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Hsin-Yi Chang; Yen-Jung Chang; Meng-Jung Tsai – International Journal of STEM Education, 2024
Background: Data visualizations transform data into visual representations such as graphs, diagrams, charts and so forth, and enable inquiries and decision-making in many professional fields, as well as in public and economic areas. How students' data visualization literacy (DVL), including constructing, comprehending, and utilizing adequate data…
Descriptors: Data Analysis, Visual Aids, Task Analysis, Decision Making
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Chenglong Wang – Turkish Online Journal of Educational Technology - TOJET, 2024
The rapid development of education informatization has accumulated a large amount of data for learning analytics, and adopting educational data mining to find new patterns of data, develop new algorithms and models, and apply known predictive models to the teaching system to improve learning is the challenge and vision of the education field in…
Descriptors: Decision Making, Prediction, Models, Intervention
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Chelsea Waite; Maddy Sims – Center on Reinventing Public Education, 2024
The COVID-19 pandemic and recovery period is a unique opportunity to understand contemporary issues in high school reform. Evidence has clearly demonstrated lingering COVID impacts on adolescent students that have deepened pre-existing inequities and worsened teen mental health. There's a natural desire to regain normalcy after the pandemic. But…
Descriptors: Public Schools, High Schools, COVID-19, Pandemics
Matthew Berland; Antero Garcia – MIT Press, 2024
Educational analytics tend toward aggregation, asking what a "normative" learner does. In "The Left Hand of Data," educational researchers Matthew Berland and Antero Garcia start from a different assumption--that outliers are, and must be treated as, valued individuals. Berland and Garcia argue that the aim of analytics should…
Descriptors: Justice, Learning Analytics, Data Use, Futures (of Society)
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Justin de la Cruz; Genevieve Milliken; Nicole Contaxis; Miguel Juárez; Peace Ossom – Issues in Science and Technology Librarianship, 2024
Background: The recruitment of Black, Indigenous, and People of Color (BIPOC) has been an ongoing effort for specialized libraries and library programs, especially as they try to fill technical roles while combatting internalized biases and candidates' potential self-deselection by not applying or otherwise removing themselves from the recruitment…
Descriptors: Recruitment, Minority Groups, Special Libraries, Graduate Students
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