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Scaltritti, Michele; Longcamp, Marieke; Alario, F. -Xavier – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
The selection and ordering of response units (phonemes, letters, keystrokes) represents a transversal issue across different modalities of language production. Here, the issue of serial order was investigated with respect to typewriting. Following seminal investigations in the spoken modality, we conducted an experiment where participants typed as…
Descriptors: Office Occupations, Serial Ordering, Word Order, Psychomotor Skills
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Novak, Ann M.; Treagust, David F. – Journal of Research in Science Teaching, 2018
Constructing explanations of complex phenomena is an important part of doing science and it is also an important component of learning science. Students need opportunities to make claims based on available evidence and then use science concepts to justify why evidence supports the claim. But what happens when "new" evidence emerges for…
Descriptors: Scientific Attitudes, Attitude Change, Science Process Skills, Evidence
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Liu, Ran; Stamper, John; Davenport, Jodi – Journal of Learning Analytics, 2018
Temporal analyses are critical to understanding learning processes, yet understudied in education research. Data from different sources are often collected at different grain sizes, which are difficult to integrate. Making sense of data at many levels of analysis, including the most detailed levels, is highly time-consuming. In this paper, we…
Descriptors: Intelligent Tutoring Systems, Learning, Data Analysis, Student Development
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Tran, Dung; Tarr, James E. – International Journal of Science and Mathematics Education, 2018
Through the lenses of statistical investigations and cognitive demands, we examined bivariate data tasks offered in US high school mathematics textbook series--a popular representative of three curriculum types: traditional, integrated, and hybrid. We developed a framework grounded in literature of association topics for the inclusion and…
Descriptors: High Schools, Secondary School Mathematics, Mathematics Instruction, Textbooks
Fabillar, Eliza – Education Development Center, Inc., 2018
Education Development Center's (EDC) systemic equity review framework helps education leaders take a deeper look at inequities in order to understand the complex systems that affect student performance. While equity audits have historically played a role in curriculum assessments and state accountability systems, achievement gaps by race and class…
Descriptors: Equal Education, Achievement Gap, Public Schools, Audits (Verification)
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Reeping, David; Taylor, Ashley R.; Knight, David B.; Edwards, Cherie – Journal of Engineering Education, 2019
Background: Mixed methods research designs in engineering education often frame the "mixed" aspect of the design from the perspective of data collection. However, intentional mixing throughout the research design--particularly during data analysis--may enable richer meta-inferences about a phenomenon. Purpose: This paper provides…
Descriptors: Mixed Methods Research, Program Evaluation, Engineering Education, Research Design
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Haardörfer, Regine – Health Education & Behavior, 2019
In this article, Regine Haardörfer outlines five general steps taken by good data analysts and how they need to be theory-driven data-informed. She uses these to discuss some issues and propose approaches to promote better data analysis and reporting. The proposed steps to rigorous data analysis are to: (1) create an a priori data analysis plan;…
Descriptors: Data Analysis, Theories, Social Science Research, Behavioral Science Research
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Wind, Stefanie A.; Guo, Wenjing – Educational and Psychological Measurement, 2019
Rater effects, or raters' tendencies to assign ratings to performances that are different from the ratings that the performances warranted, are well documented in rater-mediated assessments across a variety of disciplines. In many real-data studies of rater effects, researchers have reported that raters exhibit more than one effect, such as a…
Descriptors: Evaluators, Bias, Scoring, Data Collection
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Kim, Jihyun; Yakel, Elizabeth; Faniel, Ixchel M. – College & Research Libraries, 2019
We examine common and unique metadata requirements and their levels of description, determined by the data deposit forms of 20 repositories in three disciplines--archaeology, quantitative social science, and zoology. The results reveal that requirements relating to Creator, Description, Contributor, Date, Relation, and Location are common, whereas…
Descriptors: Metadata, Standards, Reliability, Archaeology
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Haseski, Halil Ibrahim; Ilic, Ulas – Informatics in Education, 2019
The aim of the present study was to investigate the properties of paper-and-pencil data collection instruments developed to measure Computational Thinking (CT) based on several variables. Thus, keywords were identified and used in searches conducted in various databases. The outcomes of the search were analyzed based on the inclusion/exclusion…
Descriptors: Data Collection, Computation, Thinking Skills, Educational Research
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Theobold, Allison; Hancock, Stacey – Statistics Education Research Journal, 2019
Modern environmental science research increasingly requires computational ability to apply statistics to environmental science problems, but graduate students in these scientific fields typically lack these integral skills. Many scientific graduate degree programs expect students to acquire these computational skills in an applied statistics…
Descriptors: Graduate Students, Environmental Education, Skill Development, Statistics
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Johanes, Petr; Thille, Candace – British Journal of Educational Technology, 2019
Education and education research are experiencing increased digitization and datafication, partly thanks to the rise in popularity of massively open online courses (MOOCs). The infrastructures that collect, store and analyse the resulting big data have received critical scrutiny from sociological, epistemological, ethical and analytical…
Descriptors: Data Collection, Learning Analytics, Online Courses, Higher Education
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Hofmann, Andreas; Cross, Megan; Karow, Malte A.; Straub, Jan H.; Clemen, Christoph S.; Eichinger, Ludwig – Biochemistry and Molecular Biology Education, 2019
The Java software jBar consists of a graphical user interface that allows the user to customize and assemble an included script for R. The scripted R pipeline calculates means and standard errors/deviations for replicates of numerical bivariate data and generates presentations in the form of bar graphs. A two-sided Student's t test is carried out…
Descriptors: Data Analysis, Graphs, Computer Software, Computer Uses in Education
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Levine, Burton; Berzofsky, Marcus E.; Hampton, Joel; Battles, Haven B. – International Journal of Social Research Methodology, 2019
Dual-frame, random-digit-dialing (DFRDD) surveys, using a frame of landline telephone numbers and a frame of cell phone numbers, have become the norm for telephone surveys. Two alternative frame constructions sample exclusively from a cell phone frame, referred to as the 'single-frame cell,' and sample from the listed landline frame and the cell…
Descriptors: Telephone Surveys, Sampling, Handheld Devices, Data Collection
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Man, Kaiwen; Harring, Jeffrey R.; Sinharay, Sandip – Journal of Educational Measurement, 2019
Data mining methods have drawn considerable attention across diverse scientific fields. However, few applications could be found in the areas of psychological and educational measurement, and particularly pertinent to this article, in test security research. In this study, various data mining methods for detecting cheating behaviors on large-scale…
Descriptors: Information Retrieval, Data Analysis, Identification, Tests
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