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Marah Sutherland; David Fainstein; Taylor Lesner; Georgia L. Kimmel; Ben Clarke; Christian T. Doabler – TEACHING Exceptional Children, 2024
Being able to understand, interpret, and critically evaluate data is necessary for all individuals in our society. Using the PreK-12 Guidelines for Assessment and Instruction in Statistics Education-II (GAISE-II; Bargagliotti et al., 2020) curriculum framework, the current paper outlines five evidence-based recommendations that teachers can use to…
Descriptors: Elementary Secondary Education, Multiple Literacies, Statistics Education, Data Analysis
Kumar, Vivekanandan; Ally, Mohamed; Tsinakos, Avgoustos; Norman, Helmi – Canadian Journal of Learning and Technology, 2022
Over the past decade, opportunities for online learning have dramatically increased. Learners around the world now have digital access to a wide array of corporate trainings, certifications, comprehensive academic degree programs, and other educational and training options. Some organizations are blending traditional instruction methods with…
Descriptors: Electronic Learning, Cognitive Processes, Artificial Intelligence, Educational Technology
Bergner, Yoav; von Davier, Alina A. – Journal of Educational and Behavioral Statistics, 2019
This article reviews how National Assessment of Educational Progress (NAEP) has come to collect and analyze data about cognitive and behavioral processes (process data) in the transition to digital assessment technologies over the past two decades. An ordered five-level structure is proposed for describing the uses of process data. The levels in…
Descriptors: National Competency Tests, Data Collection, Data Analysis, Cognitive Processes
National Center for Special Education Research, 2020
In March 2020, the National Center for Special Education Research (NCSER) virtually convened a group of experts to discuss gaps in research on eighth grade mathematics for students with disabilities (SWD) that could be addressed with the NAEP process data and data science techniques for this research. Invited experts also provided recommendations…
Descriptors: National Competency Tests, Mathematics Achievement, Students with Disabilities, Testing
Alhadad, Sakinah S. J. – Journal of Learning Analytics, 2018
Understanding human judgement and decision making during visual inspection of data is of both practical and theoretical interest. While visualizing data is a commonly employed mechanism to support complex cognitive processes such as inference, judgement, and decision making, the process of supporting and scaffolding cognition through effective…
Descriptors: Visualization, Data Analysis, Evaluative Thinking, Statistical Inference
Schultheis, Elizabeth H.; Kjelvik, Melissa K. – American Biology Teacher, 2020
Authentic, "messy data" contain variability that comes from many sources, such as natural variation in nature, chance occurrences during research, and human error. It is this messiness that both deters potential users of authentic data and gives data the power to create unique learning opportunities that reveal the nature of science…
Descriptors: Data Analysis, Scientific Research, Science Instruction, Scientific Principles
Shaffer, David Williamson; Collier, Wesley; Ruis, A. R. – Journal of Learning Analytics, 2016
This paper provides a tutorial on epistemic network analysis (ENA), a novel method for identifying and quantifying connections among elements in coded data and representing them in dynamic network models. Such models illustrate the structure of connections and measure the strength of association among elements in a network, and they quantify…
Descriptors: Epistemology, Network Analysis, Data Analysis, Coding
Lo, Mun Ling; Chik, Pakey Pui Man – Scandinavian Journal of Educational Research, 2016
In this paper, we aim to differentiate the internal and external horizons of "fusion." "Fusion" in the internal horizon relates to the structure and meaning of the object of learning as experienced by the learner. It clarifies the interrelationships among an object's critical features and aspects. It also illuminates the…
Descriptors: Schematic Studies, Correlation, Aptitude Treatment Interaction, Inquiry
Smith, Justin G.; DuBois, Bryce; Corwin, Jason – Journal of Extension, 2016
This article presents a method for using mind mapping to assess social learning outcomes in collaborative environmental restoration and participatory natural resource management initiatives. Using mind mapping for preassessment and postassessment can reveal changes in individual and collective thinking about critical social and ecological issues.…
Descriptors: Extension Education, Cognitive Processes, Natural Resources, Conservation (Environment)
Arthur, Richard T. W. – Science & Education, 2012
In this paper it is argued that virtual processes are dispensable fictions. The argument proceeds by a comparison with the phenomenon of quantum tunnelling. Building on an analysis of Levy-Leblond and Balibar, it is argued that, although the phenomenon known as quantum tunnelling certainly occurs and is at the basis of many paradigmatic quantum…
Descriptors: Cognitive Processes, Comparative Analysis, Data Analysis, Models
Smith, Rebekah E. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2010
Einstein et al. (2005) predicted no cost to an ongoing task when a prospective memory task met certain criteria. Smith, Hunt, McVay, and McConnell (2007) used prospective memory tasks that met these criteria and found a cost to the ongoing task, contrary to Einstein et al.'s prediction. Einstein and McDaniel (2010) correctly noted that there are…
Descriptors: Memory, Memorization, Experiments, College Students
Newman, Dina L.; Catavero, Christina M.; Wright, L. Kate – CBE - Life Sciences Education, 2012
Cellular processes that rely on knowledge of molecular behavior are difficult for students to comprehend. For example, thorough understanding of meiosis requires students to integrate several complex concepts related to chromosome structure and function. Using a grounded theory approach, we have unified classroom observations, assessment data, and…
Descriptors: Genetics, Grounded Theory, Data Analysis, Concept Teaching
Barringer, Mary-Dean – Principal Leadership, 2009
Principals who are determined to help their teachers inspire all students to bold accomplishments while identifying the right strategies for their most complex and struggling learners need to have a relentless focus on making "learning" the core business of school. This isn't the same as emphasizing assessment data, standards, and…
Descriptors: Brain, Data Analysis, Behavioral Sciences, Faculty
Greco, Laurie A.; Lambert, Warren; Baer, Ruth A. – Psychological Assessment, 2008
The authors describe the development and validation of the Avoidance and Fusion Questionnaire for Youth (AFQ-Y), a child-report measure of psychological inflexibility engendered by high levels of cognitive fusion and experiential avoidance. Consistent with the theory underlying acceptance and commitment therapy (ACT), items converged into a…
Descriptors: Construct Validity, Validity, Measures (Individuals), Item Analysis
Educational Testing Service, 2008
This document describes the breadth of the research being conducted in 2008 by the Research and Development Division at Educational Testing Service (ETS). The research described falls into three large categories: (1) Research supported by the ETS research allocation; (2) Research funded by testing programs at ETS; and (3) Research funded by…
Descriptors: Research and Development, Testing Programs, Educational Testing, Educational Research
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