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Marek, Keith A.; Raker, Jeffrey R.; Murphy, Kristen L. – Journal of Chemical Education, 2019
Missing data is a regular issue that researchers and practitioners must consider for treatment. Commonly, cases for which data is missing are excluded from inclusion in larger data sets. However, this is not the only option and could artificially alter the sample. Other options are available for imputing missing data. Expanding on work previously…
Descriptors: Data, Science Tests, Chemistry, Data Analysis
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Stenliden, Linnea; Nissen, Jörgen – Education and Information Technologies, 2022
In a world 'flooded' with data, students in school need adequate tools as Visual Analytics (VA), that easily process mass data, give support in drawing advanced conclusions and help to make informed predictions in relation to societal circumstances. Methods for how the students' insights may be reformulated and presented in 'appropriate' modes are…
Descriptors: Elementary School Students, Visual Aids, Data Analysis, Visualization
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Buckner, Elizabeth; Shephard, Daniel; Smiley, Anne – Journal on Education in Emergencies, 2022
Recognizing the lack of knowledge about how to improve data systems for education in emergencies (EiE), we examine in this article how EiE professionals use data and what makes data "useful" to them. Drawing from 48 semistructured interviews from a purposive sample of professionals working in the EiE field across the humanitarian,…
Descriptors: Data Use, Emergency Programs, Professional Personnel, Attitudes
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Adenle, Yusuf A.; Abdul-Rahman, Mohammed; Soyinka, Oluwole A. – International Journal of Sustainability in Higher Education, 2022
Purpose: As one of the buzzwords in the present age with considerable impacts in tertiary institutions, social media use in online teaching, learning and information dissemination have been extensively discussed in extant literature. This paper aims to explore the existing campus sustainability appraisal (CSA) tools to identify the length at which…
Descriptors: Social Media, Sustainability, Data Use, Content Analysis
Kaplan, David; Chen, Jianschen; Yavuz, Sinan; Lyu, Weicong – Grantee Submission, 2022
The purpose of this paper is to demonstrate and evaluate the use of "Bayesian dynamic borrowing"(Viele et al, in Pharm Stat 13:41-54, 2014) as a means of systematically utilizing historical information with specific applications to large-scale educational assessments. Dynamic borrowing via Bayesian hierarchical models is a special case…
Descriptors: Bayesian Statistics, Models, Prediction, Accuracy
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Viberg, Olga; Mutimukwe, Chantal; Grönlund, Åke – Journal of Learning Analytics, 2022
Protection of student privacy is critical for scaling up the use of learning analytics (LA) in education. Poorly implemented frameworks for privacy protection may negatively impact LA outcomes and undermine trust in the discipline. To design and implement models and tools for privacy protection, we need to understand privacy itself. To develop…
Descriptors: Privacy, Learning Analytics, Educational Research, Definitions
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Hopper, Amy J.; Beswick-Jones, Hana; Brown, Angus M. – Advances in Physiology Education, 2022
The five papers published by Hodgkin and Huxley in 1952 are seminal works in the field of physiology, earning their authors the Nobel Prize in 1963 and ushering in the era of membrane biophysics. The papers present a considerable challenge to the novice student, but this has been partly allayed by recent publications that have updated the…
Descriptors: Physiology, Science Instruction, Science History, Science Experiments
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Hoek, Lianne; Munniksma, Anke; Dijkstra, Anne Bert – Journal of Social Science Education, 2022
Purpose: Scholars are increasingly paying attention to the characteristics of effective citizenship education. The systematic use of data to maximise student learning, also called an output-driven approach, is often presented as a powerful predictor of student outcomes. However, its effectiveness has not been studied in citizenship education.…
Descriptors: Teaching Methods, Citizenship Education, Instructional Effectiveness, Measurement Techniques
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Marin, L. F.; Valgardson, B. A.; Watson, E. – International Journal for Academic Development, 2022
As is the case with many Centres for Teaching and Learning, prior to the global health crisis in 2020 our Centre primarily obtained feedback to inform its programming based on participation and satisfaction. As a result of the crisis, we could not rely on previous sources of information and needed to implement new strategies for evidencing the…
Descriptors: COVID-19, Pandemics, Educational Strategies, Education Service Centers
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Swenson, Sandra; He, Yi; Boyd, Heather; Good, Kate Schowe – Journal of College Science Teaching, 2022
Students reasoning with data in an authentic science environment had the opportunity to learn about the process of science and the world around them while developing skills to analyze and interpret self-collected and secondhand data. Our results show that nearly 50% of the treatment group responses were accurate when describing the reason for…
Descriptors: Design, Heuristics, Data Analysis, Data Interpretation
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Liu, Jin – Journal of Educational and Behavioral Statistics, 2022
Longitudinal data analysis has been widely employed to examine between-individual differences in within-individual changes. One challenge of such analyses is that the rate-of-change is only available indirectly when change patterns are nonlinear with respect to time. Latent change score models (LCSMs), which can be employed to investigate the…
Descriptors: Longitudinal Studies, Individual Differences, Scores, Models
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Mills, Martin; Thomson, Pat – Emotional & Behavioural Difficulties, 2022
It seems uncontentious that policy development should be informed by evidence, and that researchers should be engaged to assess available evidence. In this paper, we tell the story of a Rapid Evidence Assessment (REA) about school exclusion, a task intended to inform a 'root and branch' policy review. Drawing on Carol Bacchi's 'What's the…
Descriptors: Foreign Countries, Suspension, Expulsion, Equal Education
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Watkins, Karen E.; Ellinger, Andrea D.; Suh, Boyung; Brenes-Dawsey, Joseph C.; Oliver, Lisa C. – European Journal of Training and Development, 2022
Purpose: The critical incident technique (CIT) is widely used in many disciplines; however, scholars have acknowledged challenges associated with analyzing qualitative data when using this technique. Therefore, the purpose of this article is to address the data analysis issues that have been raised by introducing some different contemporary ways…
Descriptors: Critical Incidents Method, Data Analysis, Doctoral Dissertations, Labor Force Development
Sosa, Giovanni – RP Group, 2022
The first step to addressing equity gaps is to identify them. How can community colleges determine, with some degree of certainty, whether one or more student groups on a campus is in need of assistance in order to succeed? This paper tackles this question by delving into the three methods typically used to identify equity gaps, comparing and…
Descriptors: Equal Education, Community College Students, Disproportionate Representation, Data Analysis
US Census Bureau, 2022
The U.S. Census Bureau and its Statistics in Schools (SIS) program offer a number of tools that students can use to access data. Students can find city- or state-specific information about their birthplace, current place of residence, or ideal future hometown, for example. Using these tools, students and teachers can see data on housing,…
Descriptors: Data Analysis, Access to Information, Census Figures, Elementary School Students
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